Table A-10. Determinants of Knowledge About Title IX (probability-weighted Multinomial Logit with excluded category being the correct answer of applies to both “athletics and education”)
|
(1)
|
(2)
|
(4)
|
|
Applies Only to Athletics
|
Applies Only to Education
|
Applies Neither to Athletics nor Education
|
Female
|
0.553***
|
-1.468**
|
0.851
|
|
(0.203)
|
(0.692)
|
(0.932)
|
African-American
|
-0.193
|
0.443
|
1.189**
|
|
(0.399)
|
(1.048)
|
(0.568)
|
Asian
|
0.092
|
-15.692***
|
0.001
|
|
(0.382)
|
(0.534)
|
(1.130)
|
Hispanic
|
-0.095
|
1.100
|
1.084
|
|
(0.458)
|
(1.071)
|
(1.083)
|
U.S. High School
|
0.403
|
15.934***
|
-0.019
|
|
(0.388)
|
(0.430)
|
(1.123)
|
Year
|
-0.028
|
0.249
|
-0.465*
|
|
(0.069)
|
(0.252)
|
(0.237)
|
Familial Income
|
0.118
|
0.009
|
-0.231
|
|
(0.086)
|
(0.228)
|
(0.294)
|
Ideology
|
0.011
|
0.100
|
0.025
|
|
(0.058)
|
(0.154)
|
(0.217)
|
Discrimination Perceptions
|
-0.185
|
-0.408
|
-0.263
|
|
(0.145)
|
(0.472)
|
(0.450)
|
Athletic Scholarship
|
-0.103
|
-0.294
|
-0.386
|
|
(0.190)
|
(0.639)
|
(0.535)
|
Wrestling
|
-0.203
|
-1.189
|
0.716
|
|
(0.497)
|
(0.969)
|
(1.132)
|
Football
|
-0.118
|
-1.240
|
1.463
|
|
(0.472)
|
(1.207)
|
(0.900)
|
Men’s Basketball
|
-1.585
|
-17.753***
|
1.299
|
|
(1.086)
|
(1.018)
|
(1.310)
|
Track & Field/Cross-Country
|
0.151
|
0.124
|
-0.058
|
|
(0.195)
|
(0.698)
|
(0.825)
|
Iowa
|
0.297
|
0.015
|
-16.186***
|
|
(0.292)
|
(1.156)
|
(0.516)
|
Minnesota
|
-0.029
|
0.517
|
-16.257***
|
|
(0.267)
|
(0.767)
|
(0.408)
|
Constant
|
-1.566**
|
-18.745***
|
-1.478
|
|
(0.753)
|
(2.221)
|
(2.412)
|
|
|
|
|
Observations
|
1,129
|
1,129
|
1,129
|
Standard errors are in parentheses. Statistical significance is denoted by: ***p < 0.01, **p < 0.05, *p < 0.1 for two-tailed tests.
Supplementary appendix References
Brake, Deborah. 2010. Getting in the Game: Title IX and the Women’s Sports Revolution. New York, NY: NYU Press.
Cheslock, John J., and E. Eckes, Suzanne. 2008. “Statistical Evidence and Compliance with Title IX.” In New Directions for Institutional Research no. 138, 31–45.
Copeland, Lauren. 2014. “Value Change and Political Action: Postmaterialism, Political Consumerism, and Political Participation.” American Politics Research 42: 257–282.
Couper, Mick. 2008. Designing Effective Web Surveys. New York: Cambridge University Press.
Druckman, James N., Mauro Gilli, Samara Klar, and Joshua Robison. 2014. “Athlete Support for Title IX.” The Sport Journal: 1–22. http://thesportjournal.org/article/athlete-support-for-title-ix/.
Fountain, Jeffrey, and Peter Finley. 2009. “Academic Majors of Upperclassmen Football Players in the Atlantic Coast Conference: An Analysis of Academic Clustering Comparing White and Minority Players.” Journal of Issues in Intercollegiate Athletics 2009(2): 1–13.
Ingram, Helen, and Anne Schneider. 1991. “The Choice of Target Populations.” Administration & Society 23(3): 333–56.
National Collegiate Athletic Association (NCAA). 2017. “Archives of NCAA Revenues and Expenses Reports by Division.” http://www.ncaa.org/about/resources/research/archives-ncaa-revenues-and-expenses-reports-division.
Office for Civil Rights in the U.S. Department of Education (OCR). 1979. “A Policy Interpretation: Title IX and Intercollegiate Athletics.” Federal Register, Vol. 44, No. 239. http://www2.ed.gov/about/offices/list/ocr/docs/t9interp.html (March 8, 2016).
_____. 1996. “Clarification of Intercollegiate Athletics Policy Guidance: The Three-Part Test.” https://www2.ed.gov/about/offices/list/ocr/docs/clarific.html (May 17, 2017).
Reynolds, Celene. N.d. "The Mobilization of Title IX across Colleges and Universities, 1994-2014". Social Problems, Forthcoming.
Ritter, Lois A., and Valerie M. Sue. 2007. “Introduction to Using Online Surveys.” New Directions for Evaluation 115: 5–14.
Rose, Deondra. 2015. “Regulating Opportunity: Title IX and the Birth of Gender-Conscious Higher Education Policy.” Journal of Policy History 27(1): 157–83.
Sharrow, Elizabeth. 2017. “‘Female Athlete’ Politic: Title IX and the Naturalization of Sex Difference in Public Policy.” Politics, Groups, and Identities 5(1): 46–66.
Shih, Tse-Hua, and Xitao Fan. 2008. “Comparing Response Rates from Web and Mail Surveys: A Meta-Analysis.” Field Methods 20(3): 249–71.
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