Race, class, and gender differences in high school seniors' values: applying intersection theory in empirical analysis.
Objective. This article demonstrates how intersection theory can be applied in empirical studies by testing whether an individual's race, class, and gender have interactive effects. Methods. Data on high school students' ratings of the importance of equality, money, career, and family from the Mon...
| Published in: | Social Science Quarterly. Vol. 82; no. 2; pp. 340 - 357 |
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| Format: | Article |
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HWW Temp
June 2001
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507776708&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507776708 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00384941 DA5K jtl: Social Science Quarterly. issn: 00384941 maglogo: N pubinfo: dt: June 2001 vid: 82 iid: 2 pid: 71778 pub: HWW Temp artinfo: ui: 507776708 10.1111/0038-4941.00027 ppf: 340 ppct: 17 formats: tig: atl: Race, class, and gender differences in high school seniors' values: applying intersection theory in empirical analysis. aug: au: Ovadia, Seth su: Values (Ethics) Racial differences High school student attitudes Gender differences (Psychology) sug: subj: Values (Ethics) Racial differences High school student attitudes Gender differences (Psychology) keyword: Race differences ab: Objective. This article demonstrates how intersection theory can be applied in empirical studies by testing whether an individual's race, class, and gender have interactive effects. Methods. Data on high school students' ratings of the importance of equality, money, career, and family from the Monitoring the Future study are used. A stepwise regression model is employed to determine first whether additive effects exist in the data, and then whether interactions exist among race, class, and gender characteristics. Results. Previous findings of additive effects were generally confirmed in the first stage of the regressions, with some exceptions. For the money and family values, significant interactions exist between some pairs of characteristics, but three-way interactions were not significant. For equality and career values, no significant interactions were found. Conclusions. Although there are times when additive models are sufficient to describe differences among groups, the omission of interaction terms can sometimes lead to misleading conclusions about the effects of race, class, and gender. Using intersection theory in empirical models will guard against this oversight and may lead to a broad theory of when significant race, class, and gender interactions should be expected. Reprinted by permission of the publisher. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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