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Volumn , Issue , 2009, Pages 161-173

Quantifying social class: A latent clustering approach

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EID: 70349260281     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4020-9450-7_13     Document Type: Chapter
Times cited : (7)

References (1)
  • 1
    • 84892217440 scopus 로고    scopus 로고
    • Student race/ethnicity was gathered from US Census-type questions that measure whether or not the respondent is Hispanic as well as racial/ethnic identification White, Black, American Indian, Pacific Islander, Asian, other. For the CLL, if data were missing from the Pre-College Survey, admissions data were used when possible. For the CIRP, students' race/ethnicity was considered from the responses to the Freshmen Year Survey, or College Years Survey if missing. The "other" category for the CLL includes students who identified as bi- or multiracial, which was not an option on the CIRP surveys. Virtually all respondents who self-identified as Hispanic listed racial categories other than Black; accordingly, these cases were assigned to the Latino group
    • Student race/ethnicity was gathered from US Census-type questions that measure whether or not the respondent is Hispanic as well as racial/ethnic identification (White, Black, American Indian, Pacific Islander, Asian, other). For the CLL, if data were missing from the Pre-College Survey, admissions data were used when possible. For the CIRP, students' race/ethnicity was considered from the responses to the Freshmen Year Survey, or College Years Survey if missing. The "other" category for the CLL includes students who identified as bi- or multiracial, which was not an option on the CIRP surveys. Virtually all respondents who self-identified as Hispanic listed racial categories other than Black; accordingly, these cases were assigned to the Latino group.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.