PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 28, 2005Journal of Black Studies278 citations

Race, Gender, and Linked Fate

View Full Paper
ESEvelyn M. Simien

Key Points

  • To test competing hypotheses regarding whether strong gender identification increases or decreases racial linked fate among African American women.
  • Analyzed cross-sectional survey data from the 1996 National Black Election Study.
  • Modeled racial linked fate as a function of gender identification rather than treating gender purely as a statistical control variable in regression analysis.
  • Evaluated the structural relationship between gender identification and racial linked fate to test competing positive and negative association hypotheses.
  • Demonstrated that explicitly theorizing gender identity provides distinct insights into racial identification compared to standard regression control methods.

Abstract

For African Americans, linked fate is the recognition that individual life chances are inextricably tied to the race as a whole. Using data from the 1996 National Black Election Study, the author empirically tested two competing hypotheses about the effect of gender identification on race identification as measured by linked fate. One hypothesis suggests that Black women who identify strongly with their gender will report a lower sense of race identification. The other suggests that Black women who identify strongly with their gender will report a higher sense of race identification. This research is important because it is the first to extend the application of the linked fate model used to measure race identification to the case in which gender matters. By so doing, this study demonstrates the importance of theorizing gender as opposed to simply adding the variable (gender) to a regression model and controlling for its effects statistically.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Evelyn M. Simien (2005) studied this question.

synapsesocial.com/papers/69fea169b124fe5819851f78https://doi.org/10.1177/0021934704265899
Ask AI
Helpful
Bookmark
Share
View Full Paper