RESULTS  OF  2015  UNIVERSITY  OF  MICHIGAN   CAMPUS  CLIMATE  SURVEY  ON     SEXUAL  MISCONDUCT             TABLE  OF  CONTENTS   Introduction   I. II. III. IV. V. VI. Executive  Summary  ..........................................................................................................................  4   Survey  Design  and  Methodology  .....................................................................................................  7   A          Sample  Design  ......................................................................................................................  7   B.        Questionnaire  Design  ...........................................................................................................  7   C.        Field  Work  Design  and  Implementation  ...............................................................................  7   Survey  Response  Rates  .....................................................................................................................  8   Survey  Respondents  .........................................................................................................................  9   Survey  Responses  ...........................................................................................................................  10   A. Campus  Climate  Regarding  Sexual  Misconduct,  Student  Sexual  Misconduct  Policy     and  Process  to  Address  Complaints  of  Sexual  Misconduct  ...............................................  10   B. Education,  Prevention,  and  Likely  Reporting  to  Campus  Resources  .................................  10   C. Personal  Experiences  Regarding  Sexual  Activity  ................................................................  11   D. Sexual  Misconduct  Victimization  .......................................................................................  12   E. Specific  Incidents:  Reporting  .............................................................................................  17   F. Specific  Incident:    Locations,  Perpetrators  and  Impacts  ....................................................  18   G. Perpetrating  Nonconsensual  Sexual  Experiences  ..............................................................  19   Analysis  o f  R isk  F actors  ......................................................................................................  2 0   Appendix  A  .....................................................................................................................................  2 2   A.        S ample  D esign  ........................................................................................................  2 2   B.        Q uestionnaire  D esign  .............................................................................................  2 3   C.        F ield  W ork  D esign  a nd  Implementation  . .................................................................  2 3   D.        P ost-­‐Survey  A djustment  a nd  W eighting  . ................................................................  2 4                                          E .        C onfidentiality  .......................................................................................................  2 5                                          F .        Q uestionnaire  S pecific  R eports  o f  “ Don’t  K now”  R esponses  . .................................    2 5   2     INTRODUCTION   The   2015   University   of   Michigan   Campus   Climate   Survey   on   Sexual   Misconduct   reflects   the   University’s   commitment   to   a   thorough,   transparent,   and   honest   self-­‐examination   of   the   problem   of   sexual   misconduct   that   affects  our  students.    In  January  2015,  U-­‐M  sent  the  survey  to  a  representative  sample  of  3,000  students  on  the   Ann   Arbor   campus   to   ask   questions   about   their   experiences   with   sexual   misconduct   and   their   views   regarding   campus  climate  and  related  resources.  The  survey  instrument  and  methodology  were  designed  by  a  team  led  by  U-­‐ M’s   Survey   Research   Center,   and   included   representatives   from   Student   Life,   the   Office   of   the   General   Counsel,   and  SoundRocket  (formerly  known  as  Survey  Sciences  Group),  an  independent  survey  research  firm  headquartered   in   Ann   Arbor,   Michigan.   The   purpose   of   the   survey   was   to   gain   a   deep   understanding   of   the   prevalence   and   incidence   of   sexual   assault   on   campus,   as   well   as   students’   views   regarding   campus   climate   and   resources,   so   that   U-­‐M  can  improve  its  education  and  prevention  efforts,  strengthen  existing  services  for  survivors,  and  ultimately,   create  a  safer  and  more  caring  community.       This   document   summarizes   the   results   of   the   survey,   as   well   as   the   survey   design   and   methodology   used   to   produce  these  results.    Throughout  the  upcoming  academic  year,  U-­‐M  staff  will  work  with  the  U-­‐M  community  to   use   the   survey   data   to   answer   additional   important   questions,   including   how   to   more   effectively   address   and   prevent  sexual  misconduct.   WARNING:      This  report  uses  explicit  language,  including  anatomical  names  of  body  parts  and  specific  behaviors,  to   discuss   data   about   sexual   situations.   These   situations   include   sexual   misconduct,   broadly   defined   to   include   nonconsensual   (also   known   as   unwanted)   kissing   and   touching;   oral   vaginal,   or   anal   penetration,   and   sexual   harassment.  Reading  this  report  might  remind  you  of  experiences  that  you,  friend,  or  family  member  have  gone   through.   If   you   would   like   to   talk   to   someone   confidentially   about   questions   or   concerns   relating   to   sexual   misconduct,  including  sexual  assault,  please  contact  one  of  the  following  resources:     Students   Sexual  Assault  Prevention  and  Awareness  Center  (SAPAC)  –  http://sapac.umich.edu   Counseling  and  Psychological  Services  (CAPS)  –  http://caps.umich.edu/counseling   Faculty  and  Staff   Faculty  and  Staff  Assistance  Program  (FASAP)  –     http://hr.umich.edu/mhealthy/programs/mental_emotional/counseling-­‐consultation/fasap/contact.html     UMHS  Employee  Assistance  Program  (UMHS  EAP)  –   http://hr.umich.edu/mhealthy/programs/mental_emotional/counseling-­‐consultation/eap/index.html     3     I. EXECUTIVE  SUMMARY   Sexual  misconduct  is  a  long-­‐standing  societal  problem.  Data  from  the  2002  United  States  National  Survey  of  Family   Growth,   which   studies   families,   relationships,   sexual   experience   and   reproductive   health,   indicate   that   22.6%   of   1 women   in   the   United   States   aged   18-­‐44   were   “ever   forced   to   have   sexual   intercourse”   in   their   lifetimes.     The   2 same  study  indicates  that  7.6%  of  men  aged  18-­‐44  were  ever  forced  to  have  sexual  intercourse.  Data  from  The   Department   of   Justice’s   National   Crime   Victimization   Survey   show   that   females   ages   18   to   24   consistently   3 experienced  higher  rates  of  rape  and  sexual  assault  than  females  in  other  age  brackets.    However,  the  same  study   also   shows   that   females   ages   18-­‐24   not   enrolled   in   a   college   were   1.2   times   more   likely   to   experience   rape   and   4 sexual  assault  victimization,  compared  to  college  students  in  the  same  range.     Although  such  data  provide  some   evidence  that  young  people  enrolled  in  college  are  at  less  risk  of  sexual  assault  than  those  in  the  same  ages  who   are  not  enrolled  in  college,  recent  studies  show  that  the  risk  on  campuses  is  substantial.     It  is  currently  estimated  that  one  in  five  women  is  sexually  assaulted  while  in  college.    The  “1  in  5”  statistic  is  not   from  a  national  survey  regarding  the  prevalence  of  sexual  assault,  but  is  derived  from  a  2007  study,  The  Campus   Sexual  Assault  Study,  of  a  sample  of  undergraduate  women  at  two  large  public  universities,  one  in  the  South  and   5 one  in  the  Midwest.  The  survey  found  that  as  many  as  20%  of  undergraduate  female  students  experienced  sexual   assault,  broadly  defined  in  that  study  to  include  any  form  of  nonconsensual  sexual  experience,  including  unwanted   6 kissing,  groping,  digital  penetration,  or  oral,  vaginal,  or  anal  sex.     The  rate  of  nonconsensual  oral,  vaginal,  or  anal   7 penetration   was   significantly   lower   than   the   overall   statistic   for   unwanted   sexual   experiences.     And   the   same   8 study  indicated  that  approximately  6.1%  of  men  are  assaulted  while  in  college.     Differences  in  survey  design  or  methodology  make  precise  comparisons  across  sexual  misconduct  surveys  difficult,   if  not  impossible,  but  more  recent  surveys  continue  to  show  that  the  levels  of  nonconsensual  sexual  experiences   involving   college   students   are   high   and   highest   among   undergraduate   females.   For   example,   the   2014   Community   Attitudes   on   Sexual   Assault   survey   conducted   by   the   Massachusetts   Institute   of   Technology   shows   that   17%   of   undergraduate   females   reported   attempted   or   completed   nonconsensual   touching   or   kissing,   oral   sex   or   sexual   9 penetration   by   force,   physical   threat,   or   incapacitation   (compared   to   5%   of   undergraduate   males).     Similarly,   a   Washington   Post/Kaiser   Family   Foundation   survey   found   that   20%   of   current   or   recent   female   college   students   10 reported  being  sexually  assaulted  while  attending  school.     In  that  survey,  sexual  assault  was  broadly  defined  to   include   nonconsensual   kissing   or   touching;   oral,   vaginal,   or   anal   sex;   and   digital   penetration   by   force   or   while   incapacitated.       Our  collective  success  in  developing  strategies  to  reduce  sexual  misconduct  across  the  country  will  only  improve   based   upon   reliable   available   data   regarding   the   prevalence   of   specific   types   and   circumstances   of   sexual   misconduct.     It   is   against   this   backdrop   that   U-­‐M   is   committed   to   sharing   its   data   to   inform   the   difficult   and   necessary   discussions   we   must   have   to   develop   and   implement   the   most   effective   solutions   to   combat   this   problem.    The  U-­‐M  climate  survey  shows:   While   approximately   89%   of   U-­‐M   students   said   that   they   feel   safe   from   sexual   misconduct   on   the   Ann   Arbor   campus,  11.4%  of  all  students  experienced  some  form  of  nonconsensual  touching   and  kissing  or  oral,  vaginal,  or   anal  penetration  –  including  22.5%  of  undergraduate  females  and  6.8%  of  undergraduate  males.  The  survey  also   found  that  9.7%  of  all  female  students  (graduate  and  undergraduate)  experienced  unwanted  oral,  vaginal,  or  anal   penetration   (compared   to   1.4%   of   male   students).   In   most   cases,   the   unwanted   sexual   penetration   occurred   primarily  after  verbal  pressure  and  under  the  influence  of  drugs  or  alcohol.  “Verbal  pressure”  was  described  in  the   survey   as   “continually   verbally   pressuring   you   after   you   said   they   didn’t   want   to.   This   includes   telling   lies,   threatening   to   end   the   relationship,   threatening   to   spread   rumors   about   them,   showing   displeasure,   criticizing   your  sexuality  or  attractiveness  or  getting  angry  but  not  using  physical  force.”    Fewer  than  1%  of  students  reported   4     nonconsensual  penetration  due  to  the  use  of  physical  force.  “Physical  force”  was  described  as  “holding  you  down   with  their  body  weight,  pinning  your  arms  or  having  a  weapon.”     Most   incidents   of   nonconsensual   sexual   experiences   occurred   off   or   near   campus   (only   14.5%   of   undergraduate   students  and  6.3%  of  graduate  students  had  nonconsensual  sexual  experiences  on  campus).  In  most  cases  (56%),   students   who   had   an   unwanted   sexual   experience   said   another   U-­‐M   student   was   responsible.   Only   5.5%   of   students  reported  no  prior  relationship  or  did  not  know  the  perpetrator.     Among  students  who  said  they  had  a  least  one  unwanted  sexual  experience  at  U-­‐M,  only  46%  told  someone  else,   most  often,  a  friend  or  a  roommate.    Just  3.6%  of  students  reported  the  incident  to  an  official  University  resource   or  law  enforcement,  including  the  Sexual  Assault  Prevention  and  Awareness  Center,  Counseling  and  Psychological   Services,  Office  of  Institutional  Equity,  Office  of  the  Dean  of  Students,    Office  of  Student  Conflict  Resolution,  the   Ann  Arbor  or  U-­‐M  police  department.  When  asked  why  they  did  not  report  their  experience,  most  students  who   responded   said   they   did   not   want   to   get   the   person   responsible   in   trouble,   or   they   blamed   themselves.     A   significant   number   also   felt   embarrassed   or   ashamed,   did   not   think   U-­‐M   would   do   anything,   or   did   not   believe   the   incident  was  serious  enough  to  merit  a  report.     U-­‐M’s   data   analysis   also   identified   some   specific   factors   that   correlate   to   the   risk   of   experiencing   unwanted   sexual   penetration:     Females  were  nearly  8  times  more  at  risk  than  males.   Undergraduates  were  3  times  more  at  risk  than  graduate  students.   Lesbian,  gay  or  bisexual  students  were  2.5  times  more  at  risk  than  heterosexual  students.   Underrepresented  minority  students  were  2  times  more  at  risk  than  white  students.   Sorority  or  fraternity  members  were  2.5  times  more  at  risk  than  non-­‐Greek  students.   Club  (not  varsity)  sports  members  were  2  times  more  at  risk  than  non-­‐club  sports  students.     There   is   no   statistically   significant   difference   in   risk   for   undergraduate   females   or   males   by   class   rank,   i.e.,   freshman,  sophomore,  junior,  or  senior.    In  other  words,  undergraduate  freshman  women  and  men  were  not  more   likely  to  be  assaulted  than  undergraduates  of  any  other  class  rank.   • • • • • • The  survey  also  asked  about  sexual  harassment  and  nearly  23%  of  all  students  reported  experiencing  some  form  of   sexual  harassment;  most  said  they  had  been  stared  at  in  a  sexual  way,  had  been  the  subject  of  teasing  comments   of  a  sexual  nature  or  someone  had  made  a  sexual  motion  towards  the  student,  all  in  spite  of  requests  to  stop.     The  survey  also  asked  more  generally  about  sexual  activity  among  students.  Nearly  80%  of  all  students  surveyed   reported  they  had  engaged  in  some  form  of  sexual  activity,  including  kissing  and  fondling,  in  the  past  12  months.     Among  those  students,  most  sought  –  and  gave  –  non-­‐verbal  consent.  More  than  15%  of  students  were  drinking   more   than   50%   of   the   time   when   they   engaged   in   sexual   activity   in   the   past   12   months,   while   nearly   7%   of   students  were  drunk  more  than  50%  of  the  time.     Set  forth  below  is  a  more  detailed  discussion  of  the  survey  design  and  methodology,  survey  response  rates,  and   survey   responses,   including   the   results   to   questions   about   (1)   views   of   the   campus   climate   relating   to   sexual   misconduct   and   knowledge   of   U-­‐M’s   Student   Sexual   Misconduct   Policy,   (2)   participation   in   campus   sexual   misconduct   prevention   and   education   programming   and   views   of   reporting   options,   (3)   personal   experiences   regarding  consensual  sexual  activity,  (4)  experiences  of  sexual  misconduct,  (5)  reporting  of  sexual  misconduct,  (6)   specific   incidents   of   sexual   misconduct:   locations,   perpetrators,   and   impacts,   and   (7)   perpetration   of   sexual   misconduct.   This   report   provides   data   for   almost   every   substantive   question   in   the   survey   instrument   and   the   order  of  the  survey  response  data  set  forth  below  is  consistent  with  the  order  in  which  the  questions  were  asked  in   5     the  survey  instrument.  For  more  information  about  U-­‐M’s  Campus  Climate  Survey  on  Sexual  Misconduct,  including   a   copy   of   the   survey   instrument,   please   go   to   https://publicaffairs.vpcomm.umich.edu/key-­‐issues/faq-­‐on-­‐2015-­‐ campus-­‐climate-­‐surveys-­‐regarding-­‐sexual-­‐misconduct/.       6     II. SURVEY  DESIGN  AND  METHODOLOGY     A. SAMPLE  DESIGN   Given   the   large   U-­‐M   student   population,   this   study   used   a   sample   survey   approach   rather   than   a   census   of   all   students.    The  survey  was  sent  to  a  random  sample  of  3,000  undergraduate  and  graduate  students.  U-­‐M  chose  a   randomly  selected  sample,  because  it  allows  researchers  to  make  scientifically  based  inferences  to  the  population   as  a  whole,  and  to  focus  finite  research  resources  on  successfully  contacting  and  encouraging  the  participation  of   the  broadest,  most  inclusive,  most  representative  group  of  students.     B. QUESTIONNAIRE  DESIGN   The  survey  instrument  and  methodology  was  designed  by  a  team,  led  by  the  U-­‐M’s  Survey  Research  Center,  and   included   representatives   from   Student   Life;   the   Office   of   the   General   Counsel;   and   Sound   Rocket   (formerly   known   as  Survey  Sciences  Group),  an  independent  survey  research  organization  headquartered  in  Ann  Arbor,  Michigan.   The   team   identified   the   purpose   of   the   survey   measurements   to   include   both   the   prevalence   and   incidence   of   sexual  assault  on  campus,  as  well  as  perceptions  of  campus  climate.  The  methodological  team  drew  heavily  upon   behavioral-­‐specific   questions   from   the   Sexual   Experiences   Survey   to   measure   the   prevalence   and   incidence   of   11 sexual  assault,  because  such  questions  have  been  researched  and  validated.     C. FIELD  WORK  DESIGN  AND  IMPLEMENTATION   The   field   work   for   this   survey   followed   a   classic   two-­‐phase   responsive   design   approach,   with   web-­‐based   data   collection   in   the   first   phase   and   interviewer   assisted   web-­‐based   interviewing   in   the   second   phase.   Several   tools   were  used  to  maximize  participation  in  Phase  1  of  the  study.  These  included:   A  message  from  the  U-­‐M  President  to  the  entire  campus  explaining  the  importance  of  the  issue  and  the   survey.   • Pre-­‐notification  letters  sent  by  mail  and  email  before  the  survey  was  launched.   • A  combination  of  both  a  lottery-­‐style  incentive  and  an  individual  incentive.   • Reminder  emails  to  encourage  participation.     A  schedule  and  contact  protocol  was  designed  to  maximize  response.  Attention  was  paid  to  the  contact  contents   as   well   as   timing.   Only   nonrespondents   to   previous   contacts   were   included   in   follow-­‐up   efforts,   so   that   those   who   12 13 14 15 had  responded  were  not  bothered.         • 16 17 18 Due   to   the   expected   high   costs   of   telephone   and   face-­‐to-­‐face   contacts   employed,      Phase   2   of   the   survey   chose   a   random   sample   of   the   non-­‐respondents   who   remained   at   the   close   of   Phase   1.   Professional   survey   interviewers   attempted   to   contact   non-­‐respondents   and   encourage   them   to   participate   in   the   survey.   Because   Phase  2  involved  telephone  and  face-­‐to-­‐face  contact,  Phase  2  sampling  was  stratified  by  on  campus  vs.  off  campus,   and   whether   a   telephone   number   was   available.   Very   few   on   campus   cases   did   not   have   a   telephone   number,   producing  three  strata:  1)  off  campus,  no  telephone  number  available,  2)  off  campus,  telephone  number  available,   and  3)  on  campus.  The  sample  rates  were  0.333,  0.6,  and  0.6  respectively.  The  inverse  of  these  selection  rates  was   used  as  a  selection  weight.       7       III. SURVEY  RESPONSE  RATES   Although  the  overall  response  rate  to  this  survey  was  67%  of  those  invited,  this  response  rate  varied  across  sub-­‐ groups   within   the   population   invited   to   participate.   Of   those   living   on   campus,   75%   responded,   and   of   those   living   off   campus,   64%   responded.   Of   the   women   invited   to   participate,   71%   responded,   and   of   the   men   invited   to   participate,   62%   responded.   Of   the   undergraduate   students   invited   to   participate,   62%   responded   and   of   the   graduate  and  professional  students  invited  to  participate,  77%  responded.       8     IV. SURVEY  RESPONDENTS   The   population   estimates   of   U-­‐M   students   are   provided   throughout   the   report   based   upon   responses   to   the   survey.   This   includes   the   presentation   of   characteristics   of   the   students   participating   in   the   survey.   Each   section   of   the  report  displays  percentages  of  the  student  population  for  each  item  in  the  survey  and  95%  Confidence  Limits   (CL).     Table   A.1   shows   characteristics   of   the   students   who   participated   in   the   survey.   As   explained   in   the   Appendix,   because   the   estimates   for   the   entire   population   of   U-­‐M   students   are   based   on   a   sample   of   the   students,   each   statistic   reported   has   some   associated   sampling   variability   and   the   CL   describes   the   size   of   that   sampling   variability.  In  each  case  the  CL  describes  the  range  of  the  statistic  such  that  if  100  samples  were  drawn  from  the  U-­‐ M  student  population,  95  of  those  estimates  would  fall  within  that  range  (the  CL).     Table  A.1:    Estimated  Percentage  of  Types  of  U-­‐M  Students  in  the  2015  Campus  Climate  Survey   (95%  Confidence  Limits)     Percentage  of  U-­‐M  Students  (Confidence  Limits)   Female   48.5  (45.9,  51.2)   Male   51.5  (48.8,  54.1)   Undergraduate   66.6  (64.2,  69.0)   Graduate/Professional   33.4  (31.01,  35.8)   GSI/GSRA   Heterosexual   Gay,  Lesbian,  Bisexual,   And  Other   8.8  (7.6,  10.1)   92.0  (90.6,  93.4)   8.04  (6.6,  9.4)   Race     White   64.5  (61.9,  67.0)   Asian   19.0  (16.9,  21.0)   Underrepresented   16.6  (14.5,  18.6)   Residence   On  campus     24.1  (22.0,  26.3)   Fraternity/Sorority   2.8  (1.9,  3.7)   Family   3.9  (2.8,  5.1)   Off  campus  in  Ann  Arbor   62.2  (59.7,  64.8)   Off  campus  out  of  Ann  Arbor   6.3  (4.9,  7.6)   Memberships     Fraternity/Sorority   16.9  (14.9,  18.8)   Varsity  Sports  Team   2.8  (1.9,  3.8)   Club  Sports  Team   5.1  (4.0,  6.3)   Marching  Band   1.6  (1.0,  2.3)   ROTC   0.7 (0.3,  1.2)   9     V. SURVEY  RESPONSES   Set  forth  below  are  data  for  almost  every  substantive  question  in  the  survey  instrument.    The  order  of  the  sections   that  follow  are  consistent  with  the  order  in  which  the  questions  were  asked  in  the  survey  instrument.    Responses   19 are  generally  provided  by  gender  (female,  male)  and  student  type  (undergraduate,  graduate).   A.  CAMPUS   CLIMATE   REGARDING   SEXUAL   MISCONDUCT,   STUDENT   SEXUAL   MISCONDUCT   POLICY   AND   PROCESS  TO  ADDRESS  COMPLAINTS  OF  SEXUAL  MISCONDUCT   The  survey  asked  students  to  report  their  knowledge  of  U-­‐M  policies  and  their  overall  feelings  of  safety  at  U-­‐M.   20 85.9%  (CL:  84.1,  87.8)  of  U-­‐M  students  know  U-­‐M  has  a  Student  Sexual  Misconduct  Policy  and  88.8%  (CL:  87.3,   90.4)   of   U-­‐M  students  feel  relatively  safe  from  sexual  misconduct  at  U-­‐M.  More  detailed   estimates   are   provided   in   Table  4A.1.   Table   4A.1:   Estimated   Percentage   and   95%   Confidence   Limits   of   U-­‐M   Students   Answering   That   They   Strongly   Agree  or  Agree  With  Each  of  the  Following  Statements       Know  that  U-­‐M  has  a  Student  Sexual     Misconduct  Policy   Know  where  to  find/read  U-­‐M’s  Student   Sexual  Misconduct  Policy   Am   generally   aware   of   U-­‐M’s   process   to   address   complaints   of   sexual   misconduct,   including  sexual  harassment,  sexual  assault,   stalking,  and  intimate  partner  violence   Think   that   U-­‐M   takes   complaints   of   sexual   misconduct  seriously   Feel  relatively  safe  from  sexual  misconduct   at  U-­‐M     Female   Female   Male   Male     Undergraduates   Graduates     Undergraduates   Graduates    %   %    %   %   84.7     83.4     91.2     80.7     (81.4,  88.0)   (79.1,  87.7)   (88.1,  94.4)   (76.3,  85.1)   31.8     36.1     48.3     45.2     (27.4,  36.2)   (29.9,  42.3)   (42.8,  53.8)   (38.9,  51.5)   48.0   (43.6,  52.4)   50.7   (44.8,  56.5)   61.7   (56.6,  66.8)   58.5   (52.9,  64.1)   74.0     (70.1,  78.0)   75.6     (71.9,  79.4)   80.8     (76.2,  85.3)   89.2     (85.7,  92.7)   86.7     (83.0,  90.3)   96.7     (95.2,  98.3)   90.3     (87.0,  93.7)   98.9     (97.8,  100)     B.  TRAINING,  EDUCATION,  PREVENTION,  AND  LIKELY  REPORTING  TO  CAMPUS  RESOURCES21   •   55.2%   (CL:   52.5,   57.9)   of   Michigan   students   –   63.4%   (CL:   58.9,   67.9)   of   female   undergraduate   students,   35.6%  (CL:  30.1,  41.2)  of  female  graduate  students,  66.0%  (CL:  60.8,  71.3)  of  male  undergraduate  students   and  36.3%  (CL:  30.9,  41.7)  of  male  graduate  students  –  said  that,  since  they  started  attending  U-­‐M,  they   have  received  trainings  or  attended  programs  that  provided  them  education  on  sexual  misconduct,  such   as   prevention   of   sexual   assault,   availability   of   confidential   resources   or   information   regarding   how   to   report  an  incident.       10     Table  4B.1:  Estimated  Percentage  and  95%  Confidence  Limits  of  U-­‐M  Students  Reporting  That  They  Have  Attended   or   Participated   in   the   Following   Programs.   Note:   Respondents   could   report   more   than   one   response;   these   percentages  cannot  be  summed  across  row  categories.   Program   Female   Female     Male  Undergraduates   Male     Undergraduates  %   Graduates  %   %   Graduates  %   New  Student  Orientation   85.6  (82.5,  88.8)   51.5  (45.7,   83.9  (79.9,  87.8)   58.7  (53.1,  64.4)   57.4)   Community  Matters   31.7  (27.9,  35.5)   8.1  (4.7,  11.6)   30.7  (26.1,  35.2)   4.7  (2.3,  7.2)   Course     Relationship  Remix   51.4  (47.0,  55.9)   0.9  (0.0,  1.9)   39.2  (34.3,  44.0)   0.9  (0.0,  1.9)   Change  It  Up   None  of  the  Above   • • 17.4  (14.5,  20.3)   2.1  (0.2,  3.9)   14.9  (12.0,  17.7)   0.6  (0.0,  1.6)   7.6  (4.9,  10.2)   44.3  (38.4,   50.1)   10.5  (7.0,  14.0)   40.0  (34.3,  45.6)     26.3%  (CL:  23.9,  28.6)  of  students  –  29.5%  (CL:  25.5,  33.5)  of  female  undergraduate  students,  20.7%  (CL:   16.1,   25.3)   of   female   graduate   students,   28.6%   (CL:   23.8,   33.4)   of   male   undergraduate   students,   and   20.6%   (CL:   16.2,   25.1)   of   male   graduate   students   –   said   they   have   participated   in   other   activities   on   campus,   other   than   the   programs   mentioned   above,   that   provided   them   with   education   on   sexual   misconduct,  including  informal  discussions,  lectures,  awareness-­‐raising  activities  or  workshops.     54.2%  (CL:  51.6,  56.9)  of  students  –  57.9%  (CL:  53.4,  62.3)  of  female  undergraduate  students,  42.9%  (CL:   37.2,   48.7)   of   female   graduate   students,   61.1%   (CL:   55.9,   66.4)   of   male   undergraduate   students,   and   45.1%  (CL:  39.4,  50.7)  of  male  graduate  students  –reported  that  they  know   where  to  get  help  on  campus   if  they  or  someone  they  know  were  sexually  assaulted.     Table  4B.2:  Estimated  Percentage  and  95%  Confidence  Limits  of  U-­‐M  Student  Answering,  “If  you  or  someone  you   know   were   sexually   assaulted,   how   likely   would   you   be   to   report   the   incident   to   the   following?”   Note:   Respondents  could  report  more  than  one  response;  these  percentages  cannot  be  summed  across  row  categories.     Very  Likely     Somewhat  Likely   Somewhat   Very  Unlikely     %   %   Unlikely  %   %   Sexual  Assault  Prevention   42.9  (40.2,  45.5)   35.8  (33.2,  38.3)   13.3  (11.5,  15.0)   8.1  (6.6,  9.6)   and  Awareness  Center   Police  Department   65.1  (62.5,  67.6)   24.5  (22.2,  26.9)   7.3  (6.1,  8.6)   3.1  (2.3,  3.9)   U-­‐M  Residence  Hall  or   13.1  (11.3,  14.8)   20.8  (18.6,  22.9)   28.3  (25.8,  30.7)   37.9  (35.3,  40.5)   Housing  Staff   Office  of  the  Dean  of   10.7  (9.0,  12.5)   19.5  (17.4,  21.7)   34.7  (32.1,  37.2)   35.1  (32.5,  37.6)   Students   Office  for  Institutional     6.3  (4.9,  7.7)   12.8  (11.1,  14.6)   34.2  (31.7,  36.8)   46.6  (44.0,  49.3)   Equity  or  Title  IX   Coordinator   Counseling  and   35.1  (32.6,  37.7)   40.5  (37.9,  43.1)   14.0  (12.2,  15.8)   10.4  (8.8,  12.1)   Psychological  Services     C. PERSONAL  EXPERIENCES  REGARDING  SEXUAL  ACTIVITY   • 79.6%  (CL:  77.4,  81.7)  of  students  –  81.7%  (CL:  78.9,  84.4)  of  female  students  and  77.7%  (CL:  74.4,  81.0)  of   male  students  –  have  engaged  in  any  form  of  sexual  activity,  including  kissing  and  fondling  in  the  past  12   months.     11     Table  4C.1:  Estimated  Percentage  and  95%  Confidence  Limits  of  U-­‐M  Students  Answering,  “When  you  have  engaged   in  any  form  of  sexual  activity,  including  kissing  and  fondling  in  the  past  12  months…”  you  did  the  following.       Note:  Respondents  could  report  more  than  one  response;  percentages  cannot  be  summed  across  row  categories.     All  of  the   Most  of   Some  of   Rarely   Never     time  %   the  time  %   the  time  %    %   %   You  sought  verbal   45.1     22.0     15.8     12.0     5.1   agreement  for  the  activity   (42.1,   (19.5,   (13.7,   (10.1,   (3.8,  6.3)     48.1)   24.4)   17.9)   14.0)   You   gave   verbal   agreement   44.4     21.8     15.6     11.5     6.6   for  the  activity   (41.4,   (19.4,   (13.6,   (9.6,  13.4)   (5.1,  8.2)   47.4)   24.3)   17.7)   You  sought  non-­‐verbal   68.7     12.4     7.8     3.7     7.4   agreement  for  the     (65.9,   (10.4,   (6.2,  9.3)   (2.6,  4.8)   (5.8,  9.0)   activity   71.5)   14.4)   You  gave  non-­‐verbal   67.8     15.3     7.6     3.1     6.3   agreement  for  the  activity   (65.0,   (13.2,   (6.1,  9.1)   (2.1,  4.0)   (4.8,  7.8)   70.5)   17.5)       One  topic  of  great  concern  for  university-­‐based  programs  designed  to  reduce  the  prevalence  of  sexual  assault  is   the   use   of   alcohol,   alcohol-­‐related   intoxication   and   the   potential   for   poor   communication   regarding   consent   in   situations   with   alcohol   consumption.   To   learn   more   about   the   associations   between   alcohol   use   and   sexual   behavior  in  general,  U-­‐M  asked  a  series  of  questions  linking  the  two.  The  results  are  provided  in  the  tables  below.     Table   4C.2:   Estimated   Percentage   and   95%   Confidence   Limits   of   U-­‐M   Students   Answering,   “What   percentage   of   your  sexual  activities,  including  kissing  and  fondling,  in  the  past  12  months  occurred  when  you  were  drinking,  but   not  drunk  or  intoxicated?”       0%   1-­‐33%   34-­‐66%   67-­‐100%   Undergraduate   Graduate   Total   24.0  (20.6,  27.3)   26.2  (22.1,  30.2)   24.7  (22.1,  27.3)   44.1  (40.3,  47.9)   51.1  (46.4,  55.7)   46.5  (43.5,  49.4)   16.6  (13.6,  19.5)   12.6  (9.5,  15.8)   15.2  (13.0,  17.5)   15.4  (12.5,  18.2)   10.1  (7.3,  13.0)   13.6  (11.5,  15.7)       Tables  4C.3:  Estimated  Percentage  and  95%  Confidence  Limits  of  U-­‐M  Students  Answering,  “What  percentage  of   your   sexual   activities,   including   kissing   and   fondling,   in   the   past   12   months   occurred   when   you   were   drunk   or   intoxicated?”     0%   1-­‐33%   34-­‐66%   67-­‐100%   Undergraduate   Graduate   Total   34.9  (31.2,  38.6)   52.8  (48.2,  57.5)   40.9  (38.0,  43.9)   47.1  (43.2,  50.9)   42.8  (38.2,  47.5)   45.6  (42.6,  48.6)   10.1  (7.8,  12.4)   3.6  (1.7,  5.6)   7.9  (6.3,  9.6)   8.0  (6.0,  9.9)   0.7  (0.1,  1.4)   5.5  (4.2,  6.8)     D. SEXUAL  MISCONDUCT  VICTIMIZATION   The  Michigan  survey  asked  respondents  two  sets  of  questions  regarding  nonconsensual  sexual  experiences  in  the   past  12  months.  The  survey  questions  used  the  same  time  metric  –  within  the  past  12  months  –  in  order  to  provide   consistent   responses   for   comparison   purposes.   In   doing   so,   the   survey   responses   captured   the   current   climate   regarding   sexual   misconduct   within   our   campus   community   and   created   an   appropriate   benchmark   from   which   to   measure   change   against   future   surveys.   This   standardized   reference   period   is   crucial   to   evaluate   the   success   of   programs  and  policies  aimed  at  reducing  sexual  assault.   12     The  tables  set  forth  below  show  the  U-­‐M  student  experiences  of  nonconsensual  sexual  behaviors  within  the  past   12  months  by  various  types  of  experience.  Note  that  ‘*’  Indicates  no  respondents  reported  “yes”  and  therefore  a   population  estimate  could  not  be  calculated.  Please  also  note  that  some  respondents  answered  “don’t  know”  to   specific   questions   regarding   specific   nonconsensual   sexual   experiences   –   the   estimates   we   present   here   are   based   on  the  percentage  of  the  total  who  answered  “yes”.  The  percentages  of  respondents  who  reported  “don’t  know”   are  provided  in  Appendix  A  for  all  of  the  items  presented  below.   A  particularly  interesting  dimension  of  the  finding  is  the  level  of  reporting  of  verbal  pressure.   This  question  read  in   relevant   part:   “In   the   past   12   months   [did   you   have   any   nonconsensual   sexual   experiences   in   which   someone   22 was]  …  continually  verbally  pressuring  you  after  you  said  you  didn’t  want  to?  This  includes  telling  lies,  threatening   to  end  the  relationship,  threatening  to  spread  rumors  about  you,  showing  displeasure,  criticizing  your  sexuality  or   attractiveness,  or  getting  angry  but  not  using  physical  force.”   The   first   set   of   questions   asked   respondents   about   nonconsensual   experiences   involving   being   “fondled,   kissed,   or   rubbed  up  against  the  private  areas  of  your  body  (lips,  breast/chest,  crotch  or  butt)”,  having  “some  of  your  clothes   [removed]  without  your  consent  (but  [with  no]  attempt  [at]sexual  penetration)”.  Overall  16.4%  (CL:13.9,  18.9)  of   female   students   and   4.7%   (CL:   2.9,   6.4)   of   male   students   reported   this   experience.   More   detailed   results   are   reported  in  Table  4D.1  below.       Table   4D.1:   Estimated   Percentage   and   95%   Confidence   Limits   of   U-­‐M   Students   Answering:     “In   the   past   12   months,  has  anyone  fondled,  kissed,  or  rubbed  up  against  the  private  areas  of  your  body  (lips,  breast/chest,  crotch   or   butt)   or   removed   some   of   your   clothes   without   your   consent   (but   did   not   attempt   sexual   penetration   by…”.   Note:   Respondents   could   report   more   than   one   response;   these   percentages   cannot   be   summed   across   row   categories.    For  brevity,  the  precise  survey  language  appears  in  this  table  only;  it  is  abbreviated  in  the  tables  that   follow.     Female   Female     Male   Male     Undergraduates   Graduates   Undergraduate Graduates   Yes  (%)   Yes  (%)   s   Yes  (%)   Yes  (%)   Verbally  pressuring  you  after  you  said   10.2  (7.8,  12.7)   5.5  (2.7,  8.3)   3.2  (1.4,  5.1)   0.7  (0.0,  1.8)   you  didn’t  want  to,  including  telling  lies,   threatening  to  end  the  relationship,   thereatening  to  spread  rumors  about   you,  showing  displeasure,  criticizing  your   sexuality  or  sexuality  or  attractiveness,  or   getting  angry  but  not  using  physical  force   Taking  advantage  of  you  while  under  the   11.1  (8.6,  13.6)   2.9  (0.9,  4.9)   3.2  (1.5,  4.8)   0.4  (0.0,  1.1)   influence  of  drugs  or  too  drunk  to  stop   what  was  happening   Taking  advantage  of  you  while   2.6  (1.4,  3.9)   1.5  (0.1,  2.8)   1.2  (0.0,  2.3)   *   unconscious  or  asleep  or  physically   incapacitated  and  could  not  stop  what   was  happening   Threatening  to  physically  harm  you  or   0.4  (0.0,  0.9)   0.4  (0.0,  1.1)   0.  7  (0.0,  1.7)   *   someone  close  to  you   Using  force,  for  example  holding  you   3.6  (2.1,  5.0)   1.5  (0.1,  2.8)   0.5  (0.0,  1.1)   *   down  with  their  body  weight,  pinning   your  arms,  or  having  a  weapon   Yes  responses  to  any  of  the  above   19.5  (16.2,  22.8)   9.0  (5.6,  12.5)   6.7  (4.1,  9.4)   1.1  (0.0,  2.4)     13     The   second   set   of   questions   asked   if   students   had   experienced  nonconsensual   sexual   penetration   orally,   vaginally,   or  anally.  In  total,  9.7  %  (CL:  7.5,  11.8)  of  female  students  and  1.4%  (CL:  0.5,  2.4)  of  male  students  reported  this   experience.   More   detailed   results   are   presented   below   in   Table   4D.2   (oral   penetration),   Table   4D.3   (vaginal   penetration)  and  Table  4D.4  (anal  penetration),  and  are  then  summarized  in  Table  4D.2-­‐4.     Table   4D.2:   Estimated   Percentage   and   95%   Confidence   Limits   of   U-­‐M   Students   Answering:     “In   the   past   12   months,  has  anyone  had  oral  sex  with  you  or  made  you  have  oral  sex  with  them  without  your  consent  by…”     Female   Female     Male   Male     Undergraduates   Graduates   Undergraduates   Graduates   Yes  (%)   Yes  (%)   Yes  (%)   Yes  (%)   Verbally  pressuring   5.5  (3.6,  7.4)   0.4  (0.0,  1.1)   0.9  (0.0,  2.0)   0.4  (0.0,  1.3)   Taking  advantage  of  you   while  drunk  or  on  drugs   Taking  advantage  of  you   while  unconscious  or   asleep   Threatening  physical   harm   Using  physical  force   Yes   responses   to   any   of   the  above   3.6  (2.2,  5.0)   0.8  (0.0,  1.9)   0.9  (0.1,  1.7)   *   0.4  (0.0,  0.  9)   0.4  (0.0,  1.1)   0.9  (0.0,  2.1)   *   0.3  (0.0,  0.8)   *   0.3  (0.0,  0.7)   *   1.1  (0.3,  1.8)   0.4  (0.0,  1.1)   0.8  (0.0,  1.9)   *   7.7  (5.5,  9.8)   0.8  (0.0,  1.9)   1.7  (0.4,  3.1)   0.4  (0.0,  1.3)         Table   4D.3:   Estimated   Percentage   and   95%   Confidence   Limits   of   U-­‐M   Female   Students   Answering:   “In   the   past   12   months,   has   a   man   put   his   penis   into   your   vagina,   or   has   anyone   inserted   fingers   or   objects   into   your   vagina   without   your   consent   by…”   Note:   Respondents   could   report   more   than   one   response;   these   percentages  cannot  be  summed  across  row  categories.     Female   Female      Undergraduates     Graduates   Yes  (%)   Yes  (%)   Verbally  pressuring   4.0  (2.5,  5.5)   1.7  (0.0,  3.7)       Taking  advantage  of  you  while  drunk   or  on  drugs   Taking  advantage  of  you  while   unconscious  or  asleep   Threatening  physical  harm   4.5  (2.8,  6.2)   1.2  (0.0,  2.4)   1.1  (0.3,  1.9)   0.4  (0.0,  1.0)   0.3  (0.0,  0.8)   *   Using  physical  force   1.6  (0.6,  2.5)   0.4  (0.0,  1.1)   Yes  responses  to  any  of  the  above   7.2  (5.1,  9.3)   3.3  (0.8,  5.7)     14     Table   4D.4:   Estimated   Percentage   and   95%   Confidence   Limits   of   U-­‐M   Students   Answering:     “In   the   past   12   months,  has  a  man  put  his  penis  into  your  anus,  or  has  anyone  inserted  fingers  or  objects  into  your  anus  without   your   consent   by…”     Note:   Respondents   could   report   more   than   one   response;   these   percentages   cannot   be   summed  across  row  categories.     Female   Female     Male   Male     Undergraduates   Graduates   Undergraduates   Graduates   Yes  (%)   Yes  (%)   Yes  (%)   Yes  (%)   Verbally  pressuring   1.9  (0.4,  3.4)   0.2  (0.0,  0.5)   0.8  (0.0,  1.9)   *   Taking  advantage  of  you   while  drunk  or  on  drugs   Taking  advantage  of  you   while  unconscious  or   asleep   Threatening  physical   harm   Using  physical  force   1.0  (0.2,  1.7)   *   0.4  (0.0,  0.8)   *   0.1  (0.0,  0.2)   0.5  (0.0,  1.5)   0.6  (0.0,  1.6)   *   0.2  (0.0,  0.6)   *   0.8  (0.0,  1.9)   *   0.3  (0.0,  0.8)   *   0.4  (0.0,  0.9)   *   Yes   responses   to   any   of   the  above   2.7  (1.0,  4.3)   0.7  (0.0,  1.7)   1.4  (0.1,  2.6)   *       Table  4D.2-­‐4:  Summary  of  Experience  of  Nonconsensual  Oral,  Vaginal  or  Anal  Sex.  Note:  Respondents  could     report  more  than  one  response;  percentages  cannot  be  summed  across  row  categories.     Female   Female     Male   Male     Undergraduates   Graduates   Undergraduates   Graduates   Yes  (%)   Yes  (%)   Yes  (%)   Yes  (%)   Verbally  pressuring   8.0  (5.6,  10.3)   2.3  (0.2,  4.4)   0.9  (0.0,  2.0)   0.4  (0.0,  1.3)   Taking  advantage  of  you   while  drunk  or  on  drugs   Taking  advantage  of  you   while  unconscious  or   asleep   Threatening  physical   harm   Using  physical  force   Yes   responses   to   any   of   the  above   6.7  (4.7,  8.8)   1.5  (0.1,  3.0)   0.9  (0.1,  1.7)   *   1.1  (0.3,  1.9)   1.2  (0.0,  2.7)   0.9  (0.0,  2.1)   *   0.3  (0.0,  0.8)   *   0.8  (0.0,  1.9)   *   1.8  (0.8,  2.8)   0.8  (0.0,  1.8)   1.1  (0.0,  2.3)   *   11.9  (9.1,  14.7)   4.3  (1.6,  7.1)   2.0  (0.6,  3.5)   0.4  (0.0,  1.3)     Please   note   that   combining   the   percentage   of   students   who   had   reported   any   of   these   forms   of   nonconsensual   sexual   experiences,   that   is,   fondling,   kissing,   or   touching   behaviors   (Table   4D.1)   along   with   oral,   vaginal   or   anal   penetration  (Table  4D.2-­‐4),  yields  results  somewhat  less  than  the  sum  of  the  percentages  reported  in  each  of  the   prior   tables   because   some   students   experience   both.   In   total,   11.4%   (CL:   9.7,   13.0)   of   students   indicated   having   experienced   any   form   of   nonconsensual   sexual   behavior,   whether   fondling,   kissing,   touching,   or   oral,   vaginal   or   anal   penetration.   As   shown   below,   this   11.4%   can   be   further   divided   as   follows:   22.5%   (CL:   19.0,   26.1)   of   undergraduate   female   students,   6.8%   (CL:   4.2,   9.4)   of   undergraduate   male   students,   9.2%   (CL:   5.7,   12.7)   of   graduate  female  students  and  1.1%  (CL:  0.0,  2.4)  of  graduate  male  students.     15     Table   4D.1-­‐4:   Summary   of   Experience   of   Nonconsensual   Fondling,   Kissing   or   Touching,   and/or   Oral,   Vaginal   or   Anal  Sex.  Note:  Respondents  could  report  more  than  one  response;  these  percentages  cannot  be  summed  across   row  categories.     Female   Female     Male   Male     Undergraduates   Graduates   Undergraduates   Graduates   Yes  (%)   Yes  (%)   Yes  (%)   Yes  (%)   Verbally  pressuring   13.1  (10.2,  16.0)   5.7  (2.8,  8.5)   3.9  (1.8,  6.1)   0.7  (0.0,  1.8)   Taking  advantage  of  you   while  drunk  or  on  drugs   Taking  advantage  of  you   while  unconscious  or   asleep   Threatening  physical   harm   Using  physical  force   12.8  (10.0,  15.5)   3.2  (1.1,  5.4)   3.2  (1.5,  4.8)   0.4  (0.0,  1.1)   2.9  (1.6,  4.1)   2.0  (0.3,  3.7)   1.7  (0.1,  3.2)   *   0.4  (0.0,  0.9)   0.4  (0.0,  1.1)   0.9  (0.0,  2.0)   *   3.9  (2.4,  5.4)   1.5  (0.1,  2.8)   1.3  (0.0,  2.6)   *   Yes   responses   to   any   of   the  above   22.5  (19.0,  26.1)   9.2  (5.7,  12.7)   6.8  (4.2,  9.4)   1.1  (0.0,  2.4)     Finally,  because  of  the  high  rates  of  any  nonconsensual  sexual  experience  among  undergraduate  females,  we  also   estimated  those  rates  separately  for  freshmen,  sophomores,  juniors  and  seniors.  Although  there  is  some  variability   in   the   rates   across   year,   with   seniors   experiencing   the   lowest   estimated   rates,   the   confidence   limits   for   these   estimates  all  overlap  each  other,  so  there  are  no  statistically  significant  differences  in  the  observed  rates  by  year  of   undergraduate   enrollment.   Nor   are   there   statistically   significant   differences   in   the   rates   of   any   nonconsensual   sexual   experience   by   year   of   enrollment   for   undergraduate   males.   In   other   words,   undergraduate   freshmen   did   not  report  a  higher  percentage  of  such  assaults  than  any  other  class  rank.   The   final   set   of   questions   in   this   portion   of   the   survey   asked   respondents   about   their   experiences   with   various   forms  of  sexual  harassment.   •   22.4%   (CL:   20.1,   24.6)   of   Michigan   students   –   35.1%   (CL:   30.9,   39.3)   of   female   undergraduate   students,   23.6%   (CL:   18.5,   28.6)   of   female   graduate   students,   18.1%   (CL:   13.9,   22.4)   of   male   undergraduate   students   and   5.4%   (CL:   2.9,  7.9)  of  male  graduate  students  –  said  they  have  experienced  any  sexual  harassment  in  the  past  12  months.   More  detailed  results  are  summarized  in  Table  4D.8.       16     Table  4D.8:  Estimated  Percentage  and  95%  Confidence  Limits  of  U-­‐M  Student  Answering  Yes  To,  ”In  the  past   12   months,   has   anyone   …”   Note:   Respondents   could   report   more   than   one   response;   these   percentages   cannot  be  summed  across  row  categories.   Students  indicating  that  they   Female   Female   Male   Male   experienced  each  of  the  following   Undergraduate   Graduate   Undergraduate   Graduate   while  at  U-­‐M  within  the  past  12   %   %   %     %   months:   Stared  at  you  in  a  sexual  way  or   21.3     13.7     5.1     0.6   looked  at  the  sexual  parts  of  your   (17.6,  24.9)   (9.5,  17.9)   (2.6,  7.6)   (0.0,  1.6)   body  after  you  asked  them  to  stop   Made  teasing  comments  of    a  sexual   19.4     15.5     3.7     0.7     nature  about  your  body  or   (15.9,  22.9)   (11.1,  20.0)   (1.7,  5.8)   (0.0,  1.6)   appearance  after  you  asked  them  to   stop   Sent  you  sexual  or  obscene  materials   5.3     3.9     2.6     1.6     such  as  pictures,  jokes,  or  stories  in   (3.4,  7.3)   (1.6,  6.2)   (1.1,  4.1)   (0.2,  3.0)   the  mail,  by  text,  or  over  the  Internet,     after  you  asked  them  to  stop   Showed  you  pornographic  pictures   6.7     4.3     7.8     2.6     when  you  had  not  agreed  to  look  at   (4.5,  9.0)   (1.9,  6.6)   (4.9,  10.8)   (0.8,  4.5)   them   Made  sexual  or  obscene  phone  calls   1.9     0.7     1.3     *   to  you  when  you  had  not  agreed  to   (0.8,  3.0)   (0.0,  1.6)   (0.2,  2.4)   talk  to  them   Watched  you  while  you  were   2.2     0.5     2.7   0.2     undressing,  nude,  or  having  sex,   (1.0,  3.5)   (0.0,  1.3)    (0.9,  4.6)   (0.0,  0.7)   without  your  consent   Taken  photos  or  videotapes  of  you   1.0     0.8     2.4     0.2     when  you  were  undressing,  nude,  or   (0.2,  1.7)   (0.0,  1.9)   (0.7,  4.2)   (0.0,  0.7)   having  sex,  without  your  consent   Showed  you  the  private  areas  of  their   5.5     3.9     5.9     1.1     body  (ex.  buttocks,  penis,  or  breasts)   (3.4,  7.6)   (1.6,  6.2)   (3.2,  8.6)   (0.1,  2.1)   without  your  consent   Made  sexual  motions  to  you,  such  as   13.3     9.4     6.6     0.7     grabbing  their  crotch,  pretending  to   (10.3,  16.4)   (5.9,  13.0)   (3.6,  9.6)   (0.0,  1.4)   masturbate,  or  imitating  oral  sex     without  your  consent   Masturbated  in  front  of  you  without   1.2     0.3     1.0     *   your  consent   (0.1,  2.4)   (0.0,  0.8)   (0.0,  2.2)     E. SPECIFIC  INCIDENTS:  REPORTING   46.4%    (CL:  38.9,  53.9)  of  students  who  indicated  they  had  at  least  one  nonconsensual  sexual  experience  at  U-­‐M   within  the  past  12  months  told  someone  else  about  the  most  recent  incident.  Only  3.6%  (CL:  1.2-­‐6.0)  of  students   who  had  at  least  one  nonconsensual  sexual  experience  (or  7.9%  (CL:  2.7,  13.0)  of  those  who  told  anyone  else  about   the   experience)   reported   the   experience   to   someone   in   the   Sexual   Assault   Prevention   and   Awareness   Center   (SAPAC),  Ann  Arbor  Police  Department,  U-­‐M  Police  Department  (UMPD),  Office  for  Institutional  Equity,  Office  of   the  Dean  of  Students,  Office  of  Student  Conflict  Resolution  or  Counseling  and  Psychological  Services.   • Students   who   told   someone   about   their   experience   were   most   likely   to   tell   a   friend   (93.9%   (CL:   88.6,   99.2)),  a  roommate  (42.5%  (CL:  32.8,  52.2)),  or  a  spouse  (16.3%  (CL:  8.7,  24.0)).  Other  responses  included:     • Counselor,  therapist  or  social  worker:  11.7%  (5.3,  18.1)   17     • • • • • • • Other  family  member(s):  7.8%  (3.1,  12.5)   Other  U-­‐M  Representative:  3.1%  (0.0,  6.3)   Police  Department  or  Department  of  Public  Safety:  2.6%  (0.0,  5.5)   Pastor,  Priest,  Rabbi  or  other  spiritual  advisor:  1.4%  (0.0,  2.9)   Student  peer  advisor  or  mentor:  1.2%  (0.0,  2.9)   Medical  doctor  or  medical  professional:  1.0%  (0.0,  1.4)   Residence  Hall  Staff:  0.5%  (0.0,  3.5)   • For  the  3.6%  (CL:  1.2,  6.0)  of  students  who  reported  the  experience  to  an  official     U-­‐M   resource   or  law   enforcement,  the  U-­‐M  resource  most  often  contacted  was  either  Counseling  and  Psychological  Services  or   SAPAC.  Other  services  were  used  rarely.   • 59.7%   (CL:   20.6,   98.9)   of   students   who   reported   the   experience   to   someone   in   an   official   U-­‐M   capacity   or   law  enforcement  received  at  least  one  response  that  made  them  feel  supported.     • Students   who   indicated   they   had   experienced   at   least   one   nonconsensual   sexual   behavior   were   asked   about  reasons  for  their  decision  not  to  report  their  experience.  Of  those  responding,  the  list  below  notes   their  rationales,  from  most-­‐  to  least-­‐  commonly  cited:   • • • • • Other:  39.2%  (CL:  29.4,  49.0)   Did  not  want  to  get  the  person  who  did  it  in  trouble:  34.0%  (CL:  24.0,  44.0)     Blamed  myself:  29.0%  (CL:  19.4,  38.6)     Felt  embarrassed  or  ashamed:  27.1%  (CL:  18.0,  36.3)  Felt  embarrassed  or  ashamed   Did  not  think  U-­‐M  would  do  anything:  15.1%  (CL:  8.0,  22.2)  Did  not  think  U-­‐M  would  do  anything   The  “other”  category  response  allowed  students  to  enter  the  reason  for  not  reporting  in  their  own  words.  By  far   the  most  common  of  these  self-­‐described  reasons  –  accounting  for  55%  of  these  answers  –  was  some  version  of   the   respondent   believing   the   incident   was   not   severe   enough   or   serious   enough   to   merit   a   report   (not   a   “big   deal”).   F. SPECIFIC  INCIDENT:    LOCATIONS,  PERPETRATORS  AND  IMPACTS   Students   whose   survey   responses   reported   sexual   misconduct   within   the   past   12   months   were   asked   follow-­‐up   questions  about  a  specific  incident  of  such  behavior  at  U-­‐M.  Because  students  may  have  experienced  more  than   one   incident   of   nonconsensual   sexual   behavior   during   that   timeframe,   they   were   instructed   to   respond   to   this   section  thinking  about  “the  most  recent  time.”     56.1%   (CL:   48.5,   63.8)   of   students   indicated   that   another   U-­‐M   student   was   responsible   for   the   nonconsensual   sexual   experience.   Almost   all   female   students   (98.3%   (CL:   96.3,   100))   who   reported   a   nonconsensual   sexual   experience   indicated   the   perpetrators   were   males.   The   male   students   who   reported   a   nonconsensual   sexual   behavior  indicated  the  perpetrators  were  either  males  26.3%  (CL:  9.4,  43.1)  or  females  66.8%  (CL:  48.0,  85.5).  Of   those   who   indicated   experiencing   a  nonconsensual   sexual   experience,   5.5%   (CL:   1.8,   9.3)   had   no   prior   relationship   with  the  perpetrator  and  did  not  know  or  were  unsure  if  the  person  was  affiliated  with  U-­‐M.  17.4%  (CL:  11.4,  23.4)   of   all   undergraduate   students   indicated   the   perpetrator   was   a   friend.   10.2%   (CL:   5.4,   14.9)   of   all   undergraduate   students  indicated  the  perpetrator  was  an  acquaintance.  22.5%  (CL:  6.2,  38.8)  of   all  graduate  students  indicated   the   perpetrator   was   a   friend.   10.7%   (CL:   0.0,   22.9)   of   all   graduate   students   indicated   the   perpetrator   was   an   23 acquaintance.   Finally,  those  who  had  a  nonconsensual  sexual  experience  in  the  past  12  months  were  asked,  “Thinking  about  the   most   recent   time   this   happened   to   you,   where   did   this   event   take   place?”     The   response   options   differentiated   18     between   residential   buildings   and   other   buildings   across   the   categories   “On   campus”   (defined   as   “all   University   owned   or   managed   property   in   Ann   Arbor”),   “Near-­‐campus”   (defined   as   “areas   within   ½   mile   of   Campus   in   Ann   Arbor”)   and   “Off   campus”   (defined   as   “areas   further   than   ½   mile   of   Campus”).   The   results   are   provided   below,   separated  for  undergraduate  students  and  graduate  students.       Undergraduate     Students   14.5%   On-­‐campus   Near-­‐Campus   38.4%   Off-­‐campus   41.2%   Graduate     Students   6.3%     22.6%     72%       G.   PERPETRATING  NONCONSENSUAL  SEXUAL  EXPERIENCES   A   series   of   questions   in   the   survey   asked   students   about   their   behavior   towards   others   (F1-­‐F4).   In   their   responses,   1.1%   (CL:   0.5,   1.6)   of   students   said   they   had   acted   without   consent,   and   another   3.3%   (CL:   2.2,   4.4)   of   students   indicated  that  they  were  unsure  if  they  had  behaved  in  this  way.  In  these  responses,  the  choice  of  the  response   “don’t  know”  is  complex.  A  key  reason  is  that  the  student  respondents  were  asked  to  report  what  they  had  done   and  how  the  person  that  they  did  it  to  may  have  interpreted  their  actions  –  that  is,  the  respondent  may  very  well   not  know  how  the  other  person  interpreted  the  action.  Thus,  it  is  not  necessarily  the  case  that  a  response  of  “don’t   know”   should   be   interpreted   to   mean   that   the   act   was   nonconsensual.     Consequently,   these   “don’t   know”   responses   are   considered   as   something   different   than   “yes”.     Only   the   proportion   of   students   that   said   “yes”   to   questions   of   perpetrating   unwanted   sexual   behavior   were   considered   affirmative   responses.   However,   this   additional  3.3%  who  indicated  they  did  not  know  if  they  had  ever  acted  without  consent  may  reflect  actions  that   others  would  have  considered  nonconsensual.  The  survey  also  asked  respondents  to  report  on  their  own  attempts   at  perpetrating  nonconsensual  sexual  behaviors.  Reports  of  attempted  perpetration  were  exceptionally  rare.       19       VI. ANALYSIS  OF  RISK  FACTORS   Specific   demographic   factors   and   memberships   were   shown   in   the   survey   results   to   correlate   to   the   risk   of   nonconsensual  sexual  penetration  (oral,  vaginal,  anal):     •   Females  were  nearly  8  times  more  at  risk  than  males.   •   Undergraduates  were  3  times  more  at  risk  than  graduate  students.   •   Lesbian,  gay  or  bisexual  students  were  2.5  times  more  at  risk  than  heterosexual  students.   •   Underrepresented  minority  students  were  2  times  more  at  risk  than  white  students.   •   Sorority  or  fraternity  members  were  2.5  times  more  at  risk  than  non-­‐Greek  students.   •   Club  (not  varsity)  sports  members  were  2  times  more  at  risk  than  non-­‐club  sports  students.     There   was   no   statistically   significant   difference   in   risk   for   undergraduate   females   or   males   by   class   rank,   i.e.,   freshman,  sophomore,  junior,  or  senior.    In  other  words,  undergraduate  freshman  women  and  men  were  not  more   likely  to  be  assaulted  than  undergraduates  of  any  other  class  rank.     Table  8.1  below  summarizes  the  statistical  analyses  of  the  survey  data  producing  these  results.  Multivariate  logistic   regression  was  used  to  estimate  the  independent  effect  of  each  demographic  category  on  the  odds  of  having  an   unwanted  sexual  experience  within  the  prior  12  months.  This  approach  is  important  because  membership  in  these   categories  can  overlap,  but  each  is  an  independent  risk  factor  for  nonconsensual  sexual  experiences.   24 The  first  model  in  Table  8.1  estimates  the  risk  of  experiencing  nonconsensual  fondling,  kissing  or  touching.  The   second  model  in  Table  8.1  estimates  the  risk  of  experiencing  nonconsensual  oral,  vaginal  or  anal  sex.  The  effects   displayed   in   the   table   are   odds   ratios.   Odds   ratios   are   multiplicative,   so   an   odds   ratio   of   1.0   means   no   association,   an  odds  ratio  of  greater  than  1.0  means  the  odds  of  a  nonconsensual  experience  are  increased,  and  an  odds  ratio   of   less   than   1.0   means   the   odds   of   a   nonconsensual   experience   are   reduced.   We   estimate   the   statistical   significance  of  each  odds  ratio  with  a  Wald  chi-­‐square  statistic,  presented  in  parentheses  directly  below  the  odds   ratio.  Statistically  significant  effects  on  the  odds  of  nonconsensual  sexual  experience  are  displayed  in  bold,  with  the   levels  of  significance  identified.       20     Table   8.1:   Estimated   Odds   Ratios   for   Nonconsensual   Sexual   Experiences   Within   the   Past   12   Months   at   the   University   of   Michigan,  2014-­‐15.     From  Multivariate  Logistic  Regressions:  Odds  Ratios  (Wald  Chi-­‐Square)     Fondling,  Kissing  or   Oral,  Vaginal  or  Anal  Sex   25 Touching   Female  (compared  to  male)   4.1***   7.7***   (40.3)   (39.9)   Undergraduate   (compared   to   graduate/   2.6***   3.2**   professional)   (12.0)   (7.5)   GSI/GSRA  (compared  to  not)   1.2   1.7   (0.1)   (0.5)   Gay,  Lesbian,  Bisexual     2.2**   2.6**   And  Other  (compared  to  heterosexual)   (7.6)   (7.3)     26 Race  (compared  to  white)       Asian   0.6   0.8   (2.7)   (0.2)   Underrepresented   1.7*   2.1*     (5.1)   (5.9)   Residence  (compared  to  on  campus-­‐housing)       Fraternity/Sorority   1.2   1.04   (0.1)   (0.01)   Family   1.5   1.8   (0.5)   (1.1)   Off  campus  in  Ann  Arbor   0.9   0.7   (0.6)   (2.7)   Off  campus  out  of  Ann  Arbor   0.7   1.7   (0.6)   (0.8)         Memberships   (compared   to   students   who   are   not  members  of  any  of  these)   Fraternity/Sorority   1.8*   2.5**   (6.0)   (10.0)   Varsity  Sports  Team   2.0   2.  7   (2.1)   (1.9)   Club  Sports  Team   1.4   1.9+   (1.4)   (3.0)   Marching  Band   2.3   1.0   (2.0)   (0.0)   ROTC   1.5   2.3   (0.4)   (1.1)         Model  Fit  Statistics            N   1878   1881        -­‐2LL   1101.7   662.8   2      Likelihood  Ratio  X   148.7***   129.8***        d.f.   15   15   +  p  <  .10        *  p  <  .05        **  p  <  .01        ***  p  <  .001    Two-­‐tailed  tests       21     APPENDIX—MORE  DETAILED  EXPLANATION  OF  SURVEY  DESIGN  AND  METHODOLOGY   U-­‐M   leadership   engaged   leading   methodologists   from   U-­‐M’s   Survey   Research   Center   (SRC)   and   SoundRocket   (formerly   known   as   the   Survey   Sciences   Group)   to   design   this   survey.   The   key   objective   of   the   study   was   to   measure   the   level   of   sexual   misconduct   on   campus   as   accurately   as   possible.   Because   sexual   misconduct   is   believed   to   be   chronically   under-­‐reported,   and   non-­‐participation   (survey   non-­‐response)   could   bias   U-­‐M’s   understanding  of  the  true  extent  of  sexual  misconduct,  the  design  of  this  survey  prioritizing  maximum  participation   in   the   study.   This   was   achieved   by   taking   steps   to   create   the   highest   possible   response   rate   –   measured   by   the   percentage  of  those  who  were  invited  to  participate  who  actually  did  provide  answers  to  the  survey  questions  –   using  the  American  Association  for  Public  Opinion  Research  (AAPOR)  official  response  rate  calculation  formulas.   Low  response  rates  do  not  necessarily  imply  biased  results.  Non-­‐response  bias  results  when  those  who  have  not   participated   in   the   study   have   opinions   or   experiences   that   are   systematically   different   from   those   who   do   participate.  Even  if  only  a  small  portion  of  those  invited  actually  participate,  if  the  participants  represent  the  total   population,  then  bias  will  not  result.  However,  if  a  large  majority  of  the  target  population  does  not  respond,  this   creates   significant   risk   of   non-­‐response   bias.   Non-­‐response   bias   could   lead   to   reporting   of   sexual   assault   incidence   rates  that  are  significantly  lower  or  higher  than  actually  occurs,  or  skewed  levels  of  awareness  of  reporting  policies   or   resources   available   to   students   on   campus.   If   the   study   has   a   response   rate   of   100%   there   can   be   no   non-­‐ response   bias   –   therefore,   increasing   the   response   rate   to   closer   to   100%   may   reduce   the   risk   of   non-­‐response   bias.   This   is   a   key   reason   most   national   surveys   for   the   federal   government,   for   example,   prioritize   effort   to   maximize  the  response  rate.   The   design   selected   a   scientifically   representative   sample   of   the   Ann   Arbor   U-­‐M   student   population   and   put   substantial   effort   toward   maximizing   participation.   First,   the   survey   used   multiple   modes   to   contact   students   instead   of   relying   exclusively   on   email.   This   included   mailing   a   hard-­‐copy   letter   for   invitation,   following   up   on   non-­‐ respondents   with   telephone   contact   and   attempting   face-­‐to-­‐face   contact   with   the   remaining   non-­‐respondents.   Second,   the   survey   provided   a   substantial   individual   incentive   to   all   students   who   were   invited   to   participate   ($15/$30   per   person).   Third,   the   team   intentionally   designed   the   survey   instrument   to   average   less   than   15   minutes   in   length   for   respondents.   Fourth,   because   participation   of   Michigan   students   in   surveys   is   known   to   decline   significantly   after   spring   break   and   decline   even   further   as   the   end   of   the   semester   approaches,   U-­‐M   launched  the  survey  in  January  and  completed  the  data  collection  before  spring  break.  By  systematically  applying   these   tools   to   a   scientifically   representative   sample   of   U-­‐M   students,   this   survey   produced   a   high   response   rate   27 (67% )  and  ensured  that  the  majority  of  those  invited  actually  answered  the  questions  asked.   A. SAMPLE  DESIGN   Given  the  large  student  population,  at  U-­‐M,  this  study  used  a  sample  survey  approach  rather  than  a  census  of  all   students.   A   randomly   selected   sample   allows   researchers   to   make   scientifically   based   inferences   to   the   population   as  a  whole  and  helped  focus  finite  research  resources  on  successfully  contacting  and  encouraging  the  participation   of   the   broadest,   most   inclusive,   most   representative   group   of   students.   This   broad   sampling   and   participation   increases  confidence  that  estimates  from  the  survey  represent  the  diverse  experiences  of  the  student  population.   This   sampling   strategy   does,   however,   introduce   sampling   error   to   estimates,   which   is   expressed   as   “95%   confidence  limits”  around  point  estimates.     U-­‐M’s  Registrar’s  Office  selected  the  sample  for  this  study  in  consultation  with  sampling  experts  on  the  research   team.  Because  of  daily  fluctuations  in  enrollment,  the  U-­‐M  student  population  was  defined  as  the  population  on   January  6,  2015,  which  was  the  day  before  the  first  day  of  classes.  Further,  at   that  time,  key  characteristics  of  the   student   population   were   recorded.   These   population   totals   were   later   used   to   create   nonresponse   adjustment   weights  (see  section  D  below)  for  the  respondents  after  data  collection  was  complete.   22     To  ensure  proper  representation,  the  sample  was  selected  from  two  strata:  undergraduate  and  graduate  students.   The   same   sampling   rate   was   used   in   each   stratum,   producing   a   sample   of   3,000   students.   This   sample   included   1,005   (33.5%)   graduate   students.   This   proportion   matches   exactly   the   proportion   of   graduate   students   in   the   U-­‐M   population  on  the  date  of  collection.     B. QUESTIONNAIRE  DESIGN   The  survey  instrument  and  methodology  was  designed  by  a  team  led  by  the  University’s  Survey  Research  Center,   and   included   representatives   from   Student   Life;   the   Office   of   the   General   Counsel;   and   Sound   Rocket   (fka   the   Survey  Sciences  Group),  an  independent  survey  research  organization  headquartered  in  Ann  Arbor,  Michigan.    The   substantive  team  identified  the  most  relevant  items  being  used  to  measure  both  the  prevalence  and  incidence  of   sexual  assault  on  campus,  as  well  as  perceptions  of  campus  climate.  The  methodological  team  drew  heavily  upon   behavioral-­‐specific   questions   from   the   Sexual   Experiences   Survey   to   measure   the   prevalence   and   incidence   of   28 sexual  assault,  because  such  questions  have  been  researched  and  validated.     The   substantive   and   methodological   teams   worked   together   to   refine   survey   measures   using   empirically   formed   principles   for   best   practices   in   the   design   of   self-­‐administered   surveys,   specifically   addressing   issues   of   question   complexity   and   the   potential   sensitivity   of   question   content.  The   methodological   team   then  applied   best   practices   29 30 for   the   design   and   layout   of   questions   in   web   surveys.    These   design   features   have   demonstrated   effectiveness   31 in  minimizing  response  errors  in  web  surveys,  as  well  as  minimizing  overall  respondent  burden.   32 The  Survey  Sciences  Group  assumed  responsibility  for  a  comprehensive  testing  strategy.  More  than  100  tests  of   the  logic  and  usability  were  conducted  before  the  instrument  was  finalized.  The  tests  included  testing  on  various   browsers/devices,   pretesting   among   students,   and   review   of   pretest   data   for   accuracy.   The   questionnaire   was   purposely   kept   extremely   brief   –   estimated   at   less   than   15   minutes   to   complete   –   to   maximize   participation.   Testing  of  the  survey  length  guided  several  decisions  made  about  the  questionnaire  during  the  process.     C. FIELD  WORK  DESIGN  AND  IMPLEMENTATION   The   field   work   for   this   survey   followed   a   classic   two-­‐phase   responsive   design   approach,   with   web-­‐based   data   collection   in   the   first   phase   and   interviewer   assisted   web-­‐based   interviewing   in   the   second   phase.   Several   tools   were  used  to  maximize  participation  in  Phase  1  of  the  study.  These  included:   • A  message  from  the  U-­‐M  President  to  the  entire  campus  explaining  the  importance  of  the  issue  and  the   survey.   • Pre-­‐notification  letters  sent  by  mail  and  email  before  the  survey  was  launched.   • A  combination  of  both  a  lottery-­‐style  incentive  and  an  individual  incentive.   • Reminder  emails,    to  encourage  participation.   A  schedule  and  contact  protocol  was  designed  to  maximize  response.  Attention  was  paid  to  the  contact  contents   as   well   as   timing.   Only   nonrespondents   to   previous   contacts   were   included   in   follow-­‐up   efforts,   so   that   those   who   33 34 35 36 had  responded  were  not  bothered.         Data  Collection  Timeline   1/12/2015:  Pre-­‐notification  letter  mailed   1/13/2015:  Pre-­‐notification  email  sent     1/15/2015:  Email  invitation  sent   1/19/2015:  Email  reminder  1  sent   1/24/2015:  Email  reminder  2  sent   23     1/30/2015:  Email  reminder  3  sent   1/22/2015:  Email  reminder  4  sent   2/3/2015:  Phase  2  sample  selected  at  6  p.m.   2/6/2015:  Phase  2  data  collection  began   2/6/2015  to  2/26/2015:  Interviewer-­‐prompted  reminder  emails  sent  to  active  sample  cases     2/27/2015:  Data  collection  ended     37 38 39 Due   to   the   expected   high   costs   of   telephone   and   face-­‐to-­‐face   contacts   employed,      Phase   2   of   the   survey   chose   a   random   sample   of   the   non-­‐respondents   who   remained   at   the   close   of   Phase   1.   Professional   survey   interviewers   attempted   to   contact   non-­‐respondents   to   encourage   them   to   participate   in   the   survey.   Because   Phase  2  involved  telephone  and  face-­‐to-­‐face  contact,  Phase  2  sampling  was  stratified  by  on-­‐campus  vs.  off  campus,   and   whether   or   not   a   telephone   number   was   available.   Very   few   on   campus   cases   did   not   have   a   telephone   number,  producing  three  strata:  1)  off  campus,  no  telephone  number  available,  2)  off  campus,  telephone  number   available,  and  3)  on  campus.  The  sample  rates  were  0.333,  0.6,  and  0.6  respectively.  The  inverse  of  these  selection   rates  was  used  as  a  selection  weight.   Professional  interviewers  contacted  non-­‐respondents  by  phone  to  encourage  their  participation  and  sent  follow-­‐ up  email  when  requested  by  potential  respondents.  Professional  interviewers  also  visited  non-­‐respondents’  places   of  residence  with  handheld  tablet  computers  preset  to  access  the  web  survey  to  offer  that  option  for  completing   the  survey.  For  students  living  in  University  housing,  professional  interviewers  delivered  written  reminder  letters   to   housing   staff   who   delivered   these   reminder   to   non-­‐respondents   –   the   letters   provided   interviewer   contact   information   for   any   potential   respondents   who   preferred   interviewer   assistance.   In   all   interviewer   efforts,   an   emphasis   was   placed   on   confidentiality   and   on   the   independent   contractor   status   of   the   interviewers   assuring   students  that  the  university  would  not  have  access  to  individual  identities.   D. POST-­‐SURVEY  ADJUSTMENT  AND  WEIGHTING   Statistical  weighting  was  performed  to  ensure  that  the  data  based  on  this  sample  of  students  correctly  represent   the   entire   population   of   students.   The   original   sample   design   was   an   equal   probability   sample   of   students.   The   two-­‐phase  sampling  introduced  differential  weights  for  some  students.  Students  sampled  for  the  second  phase  of   recruitment   receive   an   adjustment   weight,   equal   to   the   inverse   of   the   rate   at   which   they   were   selected.   These   weights   allowed   this   second-­‐phase   sample   to   represent   the   sample   members   who   were   not   selected   for   the   second  phase.     After  data  collection  was  complete,  information  on  the  sampling  frame  and  from  population  counts  provided  by   the  Registrar’s  Office  was  used  to  develop  additional  weighting  adjustment  factors.  These  weighting  factors,  called   non-­‐response  and  post-­‐stratification  adjustments,  were  used  to  match  the  respondent  characteristics  to  those  of   the  full  sample  and  student  population  respectively.  For  example,  because  on  campus  vs.  off  campus  status  was   available   for   the   full   sample,   and   students   in   these   two   groups   responded   at   different   rates,   the   inverse   of   the   response  rate  for  each  group  (i.e.  those  living  on  campus  and  those  living  off  campus)  was  used  as  an  adjustment   factor.     After   this   adjustment   was   applied   to   the   selection   weights   of   the   respondents,   the   characteristics   of   the   respondents   were   weighted   to   match   those   of   the   population.   This   technique,   known   as   post   stratification,   reduces  sampling  error  and  may  reduce  any  bias  related  to  the  factors  used  in  the  post  stratification.  In  this  case   we  used  graduate/undergraduate  status,  gender,  academic  level,  term  of  entry  and  race/ethnicity.  The  weighted   24     distributions   from   the   respondents   were   matched   to   the   population   distribution   of   these   characteristics.   For   example,  if  estimates  for  graduates  and  undergraduates  differed,  and  these  groups  also  differed  in  their  response   rates,  then  post  stratification  would  correct  this  bias.   Under   the   assumptions   described   earlier   about   the   non-­‐response   and   post-­‐stratification   factors,   the   weighting   adjustments  allowed  analysts  to  make  inferences  regarding  the  entire  student  population.  These  estimates  have   an  associated  sampling  error.  This  error  is  expressed  as  “95%  confidence  limits,”  which  indicate  that  over  repeated   sampling,  an  estimate  within  this  interval  would  occur  95  out  of  100  times.   E. CONFIDENTIALITY   To   ensure   success   of   this   survey,   given   the   potentially   sensitive   nature   of   the   questions,   part   of   the   design   for   this   study   was   to   limit   direct   access   between   University   of   Michigan   employees   and   students   who   were   being   surveyed.    Key  to  this  effort  was  the  use  of  the  independent  contractor  (SoundRocket)  for  data  collection  efforts,   which   provided   a   firewall   between   respondents’   identity   and   their   survey   responses.     Consistent   with   standard   practices   for   cross-­‐sectional   data   collections   like   this,   SoundRocket   was   required   to   use   encryption   technologies   (including   SSL   for   all   web-­‐based   interfaces)   and   to   adhere   to   strict   guidelines   to   maintain   data   security   and   confidentiality.    SoundRocket  has  been  collecting  sensitive  data  from  college  student  populations  for  over  10  years.     Communications,  staff  training,  processes,  and  quality  inspections  all  included  an  eye  towards  minimizing  risk  of   disclosure.     SoundRocket   agreed   to   be   held   to   the   same   standards   prescribed   by   the   U-­‐M   IRB   to   protect   respondents  before,  during,  and  after  this  study.       During   the   course   of   this   study,   once   the   registrar   list   was   provided   to   SoundRocket,   no   University   of   Michigan   employee  ever  came  into  contact  with  any  identifying  information  on  any  survey  respondent  in  a  way  that  would   allow   them   to   link   survey   response   to   individual   identity.     All   staff,   including   interviewers,   were   SoundRocket   employees  and/or  contractors.    This  fact  was  openly  discussed  during  contacts  with  respondents  so  that  they  were   assured  that  their  responses  would  not  be  linked  back  to  them.   After   the   study   was   completed,   SoundRocket   destroyed   all   identifiable   data   (electronic   and   paper)   that   was   received  during  the  course  of  the  effort.   F. QUESTIONNAIRE  SPECIFIC  REPORTS  OF  “DON’T  KNOW ”  RESPONSES   Because   some   answers   to   questions   regarding   sexual   assault   may   be   difficult   for   respondents   to   provide,   the   meaning   of   “Don’t   Know”   responses   is   potentially   complex.     This   important   issue   is   understudied   in   methodological   research   on   sexual   assault.     Set   forth   below   are   the   percentages   of     “Don’t   Know”   responses   corresponding   to   each   question   in   the   survey   instrument.   Please   use   the   survey   instrument   available   at   https://publicaffairs.vpcomm.umich.edu/key-­‐issues/faq-­‐on-­‐2015-­‐campus-­‐climate-­‐surveys-­‐regarding-­‐sexual-­‐ misconduct/  to  see  the  survey  questions.   25     “Don’t  Know”  Responses  Regarding  Sexual  Assault   “Don't   Know”   (%)   95%  Lower   Confidence   Limit  (%)   95%  Upper   Confidence   Limit  (%)   1   D1A   1.30   0.70   1.90   2   D1B   2.03   1.18   2.88   3   D1C   1.09   0.50   1.69   4   D1D   0.48   0.10   0.86   5   D1E   0.78   0.26   1.30   6   D2A   0.42   0.06   0.78   7   D2B   0.75   0.23   1.27   8   D2C   0.35   0.00   0.69   9   D2D   0.42   0.00   0.88   10   D2E   0.29   0.00   0.61   11   D3A   0.14   0.00   0.33   12   D3B   0.69   0.17   1.22   13   D3C   0.37   0.00   0.76   14   D3D   *   *   *   15   D3E   0.07   0.00   0.21   16   D3_1A   *   *   *   17   D3_1B   *   *   *   18   D3_1C   *   *   *   19   D3_1D   *   *   *   20   D3_1E   *   *   *   21   D4A   0.15   0.00   0.39   22   D4B   0.28   0.00   0.57   23   D4C   0.14   0.00   0.38   24   D4D   0.12   0.00   0.35   25   D4E   0.21   0.00   0.48   26   D5A   0.46   0.05   0.86   27   D5B   0.66   0.16   1.16   28   D5C   0.28   0.00   0.57   Obs   Question   26     “Don't   Know”   (%)   95%  Lower   Confidence   Limit  (%)   95%  Upper   Confidence   Limit  (%)   29   D5D   0.18   0.00   0.45   30   D5E   0.22   0.00   0.49   31   D6A   0.24   0.00   0.52   32   D6B   0.05   0.00   0.15   33   D6C   0.14   0.00   0.35   34   D6D   *   *   *   35   D6E   0.20   0.00   0.43   36   D6_1A   *   *   *   37   D6_1B   *   *   *   38   D6_1C   *   *   *   39   D6_1D   *   *   *   40   D6_1E   *   *   *   41   D7A   0.20   0.00   0.46   42   D7B   0.21   0.00   0.48   43   D7C   0.14   0.00   0.38   44   D7D   0.12   0.00   0.35   45   D7E   0.35   0.00   0.77   46   D8A   4.75   3.63   5.88   47   D8B   2.11   1.26   2.96   48   D8C   0.31   0.00   0.63   49   D8D   0.37   0.03   0.71   50   D8E   0.38   0.00   0.80   51   D8F   1.57   0.88   2.27   52   D8G   1.86   1.12   2.60   53   D8H   0.61   0.13   1.10   54   D8I   0.52   0.16   0.88   55   D8J   0.57   0.06   1.07   56   F1A   0.36   0.03   0.69   57   F1B   0.41   0.08   0.73   Obs   Question   27     “Don't   Know”   (%)   95%  Lower   Confidence   Limit  (%)   95%  Upper   Confidence   Limit  (%)   58   F1C   0.18   0.00   0.45   59   F1D   0.12   0.00   0.35   60   F1E   0.14   0.00   0.38   61   F2A   0.16   0.00   0.40   62   F2B   0.27   0.00   0.57   63   F2C   0.12   0.00   0.35   64   F2D   0.18   0.00   0.45   65   F2E   0.12   0.00   0.35   66   F3A   0.29   0.00   0.69   67   F3B   0.19   0.00   0.45   68   F3C   0.14   0.00   0.38   69   F3D   0.12   0.00   0.35   70   F3E   0.12   0.00   0.35   71   F4A   0.12   0.00   0.35   72   F4B   0.12   0.00   0.35   73   F4C   0.12   0.00   0.35   74   F4D   0.12   0.00   0.35   75   F4E   0.12   0.00   0.35   76   F5A   0.26   0.00   0.60   77   F5B   0.12   0.00   0.35   78   F5C   0.12   0.00   0.35   79   F5D   0.12   0.00   0.35   80   F5E   0.12   0.00   0.35   81   F6A   0.17   0.00   0.42   82   F6B   0.19   0.00   0.45   83   F6C   0.24   0.00   0.52   84   F6D   0.17   0.00   0.42   85   F6E   0.17   0.00   0.42   86   F7A   0.12   0.00   0.35   Obs   Question   28     “Don't   Know”   (%)   95%  Lower   Confidence   Limit  (%)   95%  Upper   Confidence   Limit  (%)   87   F7B   0.12   0.00   0.35   88   F7C   0.12   0.00   0.35   89   F7D   0.12   0.00   0.35   90   F7E   0.12   0.00   0.35   91   F8A   0.69   0.18   1.19   92   F8B   0.29   0.00   0.59   93   F8C   0.22   0.00   0.50   94   F8D   0.39   0.00   0.82   95   F8E   0.12   0.00   0.35   96   F8F   0.14   0.00   0.38   97   F8G   0.17   0.00   0.42   98   F8H   0.17   0.00   0.42   99   F8I   0.14   0.00   0.38   100   F8J   0.14   0.00   0.38   Obs   Question             29     ENDNOTES                                                                                                                                       1  See  Table  37:    Chandra  A.,  Martinez,  G.M.,  Mosher,  W.D.,  Abma,  J.C.,  &  Jones,  J.  (2005).  Fertility,  Family  Planning,   and  Reproductive  Health  of  U.S.  Women:  Data  from  the  2002  National  Survey  of  Family  Growth.  National  Center   for  Health  Statistics.  Vital  Health  Stat  23(25).   2  See  Table  17:    Martinez,  G.M.,  Chandra,  A.,  Abma,  J.C.,  Jones,  J.,  &  Mosher,  W.D.    (2006).  Fertility,  Contraception,   and  Fatherhood:    Data  on  Men  and  Women  from  Cycle  6  (2002  of  the  National  Survey  of  Family  Growth.  National   Center  for  Health  Statistics.  Vital  Health  Stat  23(26).     3  Bureau   of   Justice   Statistics.   (2014).   Rape   and   Sexual   Assault   Among   College-­‐Age   Females,   1995-­‐2013.   (NCJ   248471).   4  Id.     5  Krebs,   C.P.,   Lindquist,   C.H.,   Warner,   T.D.,   Fisher,   B.S.,   &   Martin,   S.L.   (2007).   The   Campus   Sexual   Assault   (CSA)   Study.   Washington,   DC:   National   Institute   of   Justice,   U.S.   Department   of   Justice.;   Krebs,   C.P.,   Lindquist,   C.H.,   Warner,  T.D.,  Fisher,  B.S.,  &  Martin,  S.L.  (2009).   6    Id.   7  Id.     8  Krebs,   C.P.,   Lindquist,   C.H.,   Warner,   T.D.,   Fisher,   B.S.,   &   Martin,   S.L.   (2007).   The   Campus   Sexual   Assault   (CSA)   Study.     9  MIT   Health   &   Wellness   Surveys:   2014   Community   Attitudes   on   Sexual   Assault,   http://web.mit.edu/surveys/health/MIT-­‐CASA-­‐Survey-­‐Summary,    Table  2.2.   10  Anderson,   N.   &   Clement,   S.   (2015,   June   12).   College   Sexual   Assault:   1   in   5   college   women   say   they   were   violated.  The  Washington  Post.       11  Koss,  M.P.,  Abbey,  A.,  Campbell,  R.,  Cook,  S.,  Norris,  J.,  Testa,  M.,  Ullman,  S.,  West,  C.,  &  White,  J.  (2006).  The   Sexual   Experience   Short   Form   Victimization   (SES-­‐SFV).   Tucson,   AZ:   University   of   Arizona;   Koss,   M.P.,   Abbey,   A.,   Campbell,  R.,  Cook,  S.,  Norris,  J.,  Testa,  C.,  Ullman,  S.,  West,  C.,  &  White,  J.  (2007).  Revising  the  SES:    A  collaborative   process  to  improve  assessment  of  sexual  aggression  and  victimization.  Psychology  of  Women  Quarterly,  31,  357-­‐ 370.  The  survey  instrument  design  team  consulted  a  host  of  other  materials  including:     Estimating  the  incidence  of   rape   and   sexual   assault.   Panel   on   Measuring   Rape   and   Sexual   Assault   in   Bureau   of   Justice   Statistics   Household   Surveys,   C.   Kruttschnitt,   W.D.   Kalsbeek,   and   C.C.   House,   Editors.   Committee   on   National   Statistics,   Division   of   Behavioral  and  Social  Sciences  and  Education,  National  Research  Council;  Black,  M.C.,  Basile,  K.C.,  Breiding,  M.J.,   Smith,   S.G.,   Walters,   M.L.,   Merrick,   M.T.,   Chen,   J.,   &   Stevens,   M.R.   (2011).   The   National   Intimate   Partner   and   Sexual   Violence   Survey   (NISVS):     2010   Summary   Report.   Atlanta,   GA:   National   Center   for   Injury   Prevention   and   Control,   Centers   for   Disease   Control   and   Prevention;   MIT’s   “Community   Attitudes   on   Sexual   Assault”;   The   University   of   New   Hampshire’s   “Unwanted   Sexual   Experiences   Survey,”   Banyard,   V.,   Cohn,   E.,   Edwards,   K.,   Moynihan,  M.M.,  Walsh,  W.  &  Ward,  S.  (2012).   12  Kaplowitz,   M.   D.,   Lupi,   F.,   Couper,   M.   P.,   &   Thorp,   L.   (2011).   The   effect   of   invitation   design   on   web   survey   response  rates.  Social  Science  Computer  Review,  doi:  10.1177/0894439311419084.   13  Heerwegh,   D.   (2005).   Effects   of   personal   salutations   in   e-­‐mail   invitations   to   participate   in   a   web   survey.  Public   Opinion  Quarterly,  69(4),  588-­‐598.   14  Crawford,   S.,   McCabe,   S.,   Couper,   M.,   &   Boyd,   C.   (2002,   August).   From   mail   to   web:   improving   response   rates   and  data  collection  efficiencies.  In  International  Conference  on  Improving  Surveys  (pp.  25-­‐28).   15  Fan,   W.,   &   Yan,   Z.   (2010).   Factors   affecting   response   rates   of   the   web   survey:   A   systematic   review.  Computers   in   Human  Behavior,  26(2),  132-­‐139.   16  Braunsberger,   K.,   Wybenga,   H.,   &   Gates,   R.   (2007).   A   comparison   of   reliability   between   telephone   and   web-­‐ based  surveys.  Journal  of  Business  Research,  60(7),  758-­‐764.   17  Fricker,   S.,   Galesic,   M.,   Tourangeau,   R.,   &   Yan,   T.   (2005).   An   experimental   comparison   of   web   and   telephone   surveys.  Public  Opinion  Quarterly,  69(3),  370-­‐392.   18  Millar,   M.M.,   &   Dillman,   D.A.   (2011).   Improving   response   to   web   and   mixed-­‐mode   surveys.  Public   Opinion   Quarterly,  doi:  10.1093/poq/nfr003.   19  So  few  respondents  identified  themselves  as  transgender  that  they  are  not  differentiated  in  the  analysis.    No  one   reporting  themselves  as  transgender  reported  any  experience  of  sexual  assault.   30                                                                                                                                                                                                                                                                                                                                                                                                                                             20  These  are  the  confidence  limits  described  above  –  95%  of  samples  of  the  U-­‐M  student  population  will  estimate   the   percent   that   know   U-­‐M   has   a   Student   Sexual   Misconduct   Policy   between   these   two   limits.   Our   sample   estimates  the  percentage  as  85.9%.   21  Data   presented   in   this   report   are   based   on   student   responses   to   survey   questions,   not   to   any   other   form   of   University   record   of   their   experiences.       This   is   particularly   true   with   respect   to   U-­‐M’s   training,   education,   and   prevention  programs  relating  to  sexual  misconduct.   22  For  precise  wording  of  specific  questions  please  see  the  questionnaire.   23  Respondents  could  report  more  than  one  response,  therefore,  percentages  cannot  be  summed.   24  Unwanted  experiences  were  defined  to  include  being   “fondled,  kissed,  or  rubbed  up  against  the  private  areas  of   your   body   (lips,   breast/chest,   crotch   or   butt)   or   [having]   some   of   your   clothes   [removed]     without   your   consent   (but  [with  no]  attempt[ed]  sexual  penetration).”   25  Anyone   fondling,   kissing   or   rubbing   up   against   the   private   areas   of   the   respondent’s   body   (lips,   breast/chest,   crotch   or   butt)   or   anyone   removing   some   of   the   respondent’s   clothes   without   their   consent   (but   without   attempting  sexual  penetration).   26  Whites   are   the   reference   category.   Underrepresented   groups   include   African   Americans,   Hispanic   Americans,   American  Indians  and  Mixed  Race.   27  This   response   rate   conforms   to   the   AAPOR   Response   Rate   4.   This   rate   includes   partial   interviews   and   interviews   in  the  denominator.  See  the  “AAPOR  Standard  Definitions”  for  a  complete  definition  of  how  this  response  rate  is   calculated.   28  Koss,  M.P.,  Abbey,  A.,  Campbell,  R.,  Cook,  S.,  Norris,  J.,  Testa,  M.,  Ullman,  S.,  West,  C.,  &  White,  J.  (2006).  The   Sexual   Experience   Short   Form   Victimization   (SES-­‐SFV).   Tucson,   AZ:   University   of   Arizona;   Koss,   M.P.,   Abbey,   A.,   Campbell,  R.,  Cook,  S.,  Norris,  J.,  Testa,  C.,  Ullman,  S.,  West,  C.,  &  White,  J.  (2007).  Revising  the  SES:    A  collaborative   process  to  improve  assessment  of  sexual  aggression  and  victimization.  Psychology  of  Women  Quarterly,  31,  357-­‐ 370.  The  survey  instrument  design  team  consulted  a  host  of  other  materials  including:     Estimating  the  incidence  of   rape   and   sexual   assault.   Panel   on   Measuring   Rape   and   Sexual   Assault   in   Bureau   of   Justice   Statistics   Household   Surveys,   C.   Kruttschnitt,   W.D.   Kalsbeek,   and   C.C.   House,   Editors.   Committee   on   National   Statistics,   Division   of   Behavioral  and  Social  Sciences  and  Education,  National  Research  Council;  Black,  M.C.,  Basile,  K.C.,  Breiding,  M.J.,   Smith,   S.G.,   Walters,   M.L.,   Merrick,   M.T.,   Chen,   J.,   &   Stevens,   M.R.   (2011).   The   National   Intimate   Partner   and   Sexual   Violence   Survey   (NISVS):     2010   Summary   Report.   Atlanta,   GA:     National   Center   for   Injury   Prevention   and   Control,   Centers   for   Disease   Control   and   Prevention;   MIT’s   “Community   Attitudes   on   Sexual   Assault”;   The   University   of   New   Hampshire’s   “Unwanted   Sexual   Experiences   Survey,”   Banyard,   V.,   Cohn,   E.,   Edwards,   K.,   Moynihan,  M.M.,  Walsh,  W.  &  Ward,  S.  (2012).     29  Crawford,   S.,   McCabe,   S.   E.,   &   Pope,   D.   (2005).   Applying   web-­‐based   survey   design   standards.  Journal   of   Prevention  &  Intervention  in  the  Community,  29(1-­‐2),  43-­‐66.   30  Couper,  M.  P.  (2008).  Designing  effective  web  surveys  (Vol.  75).  New  York:  Cambridge  University  Press.   31  Crawford,   S.   D.,   Couper,   M.   P.,   &   Lamias,   M.   J.   (2001).   Web   surveys   perceptions   of   burden.  Social   Science   Computer  Review,  19(2),  146-­‐162.   32  Baker,  R.  P.,  Crawford,  S.,  &  Swinehart,  J.  (2004).  Development  and  testing  of  web  questionnaires.  Methods  for   Testing  and  Evaluating  Survey  Questionnaires,  361-­‐384.   33  Kaplowitz,   M.   D.,   Lupi,   F.,   Couper,   M.   P.,   &   Thorp,   L.   (2011).   The   effect   of   invitation   design   on   web   survey   response  rates.  Social  Science  Computer  Review,  doi:  10.1177/0894439311419084.   34  Heerwegh,   D.   (2005).   Effects   of   personal   salutations   in   e-­‐mail   invitations   to   participate   in   a   web   survey.  Public   Opinion  Quarterly,  69(4),  588-­‐598.   35  Crawford,   S.,   McCabe,   S.,   Couper,   M.,   &   Boyd,   C.   (2002,   August).   From   mail   to   web:   improving   response   rates   and  data  collection  efficiencies.  In  International  Conference  on  Improving  Surveys  (pp.  25-­‐28).   36  Fan,   W.,   &   Yan,   Z.   (2010).   Factors   affecting   response   rates   of   the   web   survey:   A   systematic   review.  Computers   in   Human  Behavior,  26(2),  132-­‐139.   37  Braunsberger,   K.,   Wybenga,   H.,   &   Gates,   R.   (2007).   A   comparison   of   reliability   between   telephone   and   web-­‐ based  surveys.  Journal  of  Business  Research,  60(7),  758-­‐764.   38  Fricker,   S.,   Galesic,   M.,   Tourangeau,   R.,   &   Yan,   T.   (2005).   An   experimental   comparison   of   web   and   telephone   surveys.  Public  Opinion  Quarterly,  69(3),  370-­‐392.   31                                                                                                                                                                                                                                                                                                                                                                                                                                             39  Millar,   M.M.,   &   Dillman,   D.A.   (2011).   Improving   response   to   web   and   mixed-­‐mode   surveys.  Public   Opinion   Quarterly,  doi:  10.1093/poq/nfr003.   32