The present analysis, using the NLSY97, attempts to model the structural relationship between the latent second-order g factor extracted from the 12 ASVAB subtests, the parental SES latent factor from 3 indicators of parental SES, and the GPA latent factor from 5 domains of grade point averages. A structural equation modeling (SEM) bootstrapping approach combined with a Predictive Mean Matching (PMM) multiple imputation has been employed. The structural path from parental SES to GPA, independently of g, appears to be trivial in the black, hispanic, and white population. The analysis is repeated for the 3 ACT subtests, yielding an ACT-g latent factor. The same conclusion is observed. Most of the effect of SES on GPA appears to be mediated by g. Adding grade variable substantially increases the contribution of parental SES on the achievement factor, which was partially mediated by g. Missing data is handled with PMM multiple imputation. Univariate and multivariate normality tests are carried out in SPSS and AMOS, and through bootstrapping. Full result provided in EXCEL at the end of the article.
Month: January 2014
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Good reading on Human Varieties
- Heritability of Racial & Ethnic Pride, Preference, & Prejudice
- Inquiries into fake history: Duchesne (1766) & Forster (1786)
- Inquiries into fake history: Livingstone (1962)
- Is IQ Heritability Moderated by Race?
- Measurement Error, Regression to the Mean, and Group Differences
- Philosophical Reflections on On Genetic Interest
- Regional Admixture and Aptitude in Colombia
- Review of Deafness, Deprivation, and IQ (Braden 1994)
- Socioeconomic Status and Heritability of IQ Redux
- Using Surnames to Assess Ethnic Aptitude
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