TY - JOUR
T1 - Intersectionality and disability harassment
T2 - The interactive effects of disability, race, age, and gender
AU - Shaw, Linda R.
AU - Chan, Fong
AU - McMahon, Brian T.
N1 - Funding Information:
This study was supported by a grant from the U.S. Department of Education, National Institute on Disability Rehabilitation and Research (#H133A060087). Appreciation is extended to Dr. Ronald Edwards, Office of Research, Information and Planning, U.S. Equal Employment Opportunity Commission. Database support was provided by Dr. Mehdi Mansouri.
PY - 2012/1
Y1 - 2012/1
N2 - A possible interaction among the characteristics of disability, race, gender, and age was examined with respect to formal allegations of disability harassment. Using data from the National Equal Employment Opportunity Commission (EEOC) Americans With Disabilities Act (ADA) Research Project, the authors examined whether there was an interaction among disability, gender, age, race, and employer characteristics when considering the proportion of harassment versus other forms of discrimination allegations. Using Exhaustive Chi-Squared Automatic Interaction Detector (Exhaustive CHAID) analysis, the authors detected several interaction effects. They discovered unique clusters of characteristics that place certain groups at a very high and very low risk for experiencing disability harassment. The findings are discussed in the context of past and future research on intersectionality and workplace implications.
AB - A possible interaction among the characteristics of disability, race, gender, and age was examined with respect to formal allegations of disability harassment. Using data from the National Equal Employment Opportunity Commission (EEOC) Americans With Disabilities Act (ADA) Research Project, the authors examined whether there was an interaction among disability, gender, age, race, and employer characteristics when considering the proportion of harassment versus other forms of discrimination allegations. Using Exhaustive Chi-Squared Automatic Interaction Detector (Exhaustive CHAID) analysis, the authors detected several interaction effects. They discovered unique clusters of characteristics that place certain groups at a very high and very low risk for experiencing disability harassment. The findings are discussed in the context of past and future research on intersectionality and workplace implications.
KW - attitudes
KW - disability
KW - employers
KW - human resources practices
UR - http://www.scopus.com/inward/record.url?scp=84855163203&partnerID=8YFLogxK
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U2 - 10.1177/0034355211431167
DO - 10.1177/0034355211431167
M3 - Article
AN - SCOPUS:84855163203
SN - 0034-3552
VL - 55
SP - 82
EP - 91
JO - Rehabilitation Counseling Bulletin
JF - Rehabilitation Counseling Bulletin
IS - 2
ER -