The Athletic Involvement Study interviewed 795 students in a large public university in the Northeastern United States to explore how or if participation in sports affects people's health-risk behavior. About a quarter of the sample did not report any participation in a sport during high school or college and no primary sport designation. For those who did identify with a sport there were five predictor areas of interest: (1) scales measuring strength of jock identity; (2) strength of athlete identity; (3) goal orientation in sport; (4) primary sport ratings; and (5) conformity to masculine norms.
Baseball - All player and team statistics from 1871 to 2012 (AL, NL, UA, PL, NA, FL, AA). Basketball - All player and team statistics from 1937-38 to 2012-13 (NBA, ABA, BAA, NBL) Football - All player and team statistics from 1920 to 2012 (NFL, AFL, APFA, AAFC).Hockey - All player and team statistics from 1917-18 to 2012-13 (NHL, WHA, PCHA, WCHL)
This analysis cutting tool was designed to provide rapid customized reports for public inquiries relating to equity in athletics data. The data are drawn from the OPE Equity in Athletics Disclosure Website database. This database consists of athletics data that are submitted annually as required by the Equity in Athletics Disclosure Act (EADA), via a Web-based data collection, by all co-educational postsecondary institutions that receive Title IV funding (i.e., those that participate in federal student aid programs) and that have an intercollegiate athletics program.