ERIC Number: EJ843034
Record Type: Journal
Publication Date: 2009
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0160-2896
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Available Date: N/A
The Power to Detect Sex Differences in IQ Test Scores Using Multi-Group Covariance and Means Structure Analyses
Molenaar, Dylan; Dolan, Conor V.; Wicherts, Jelle M.
Intelligence, v37 n4 p396-404 Jul-Aug 2009
Research into sex differences in general intelligence, g, has resulted in two opposite views. In the first view, a g-difference is nonexistent, while in the second view, g is associated with a male advantage. Past research using Multi-Group Covariance and Mean Structure Analysis (MG-CMSA) found no sex difference in g. This failure raised the question whether the g-difference is truly absent or whether MG-CMSA lacked statistical power to detect it. The present study used the likelihood ratio test to investigate the power to detect a g-difference in the WAIS-III factor structure with MG-CMSA. Various situations were examined including those reported in the literature. Results showed that power varies greatly among different scenarios. The scenarios based on previous results were associated with power coefficients of about 0.5-0.6. Implications of these findings are discussed in the light of research into sex differences in IQ. (Contains 2 tables and 2 figures.)
Descriptors: Factor Structure, Intelligence Quotient, Statistical Analysis, Gender Differences, Measures (Individuals), Intelligence Tests, Scientific Research, Scores
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
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