ERIC Number: EJ746222
Record Type: Journal
Publication Date: 2006
Pages: 13
Abstractor: Author
ISBN: N/A
ISSN: ISSN-0160-2896
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Available Date: N/A
Estimating State IQ: Measurement Challenges and Preliminary Correlates
McDaniel, Michael A.
Intelligence, v34 n6 p607-619 Nov-Dec 2006
The purpose of this study is threefold. First, an estimate of state IQ is derived and its strengths and limitations are considered. To that end, an indicator of downward bias in estimating state IQ is provided. Two preliminary causal models are offered that predict state IQ. These models were found to be highly predictive of state IQ, yielding multiple R's of 0.83 and 0.89. Second, the extent to which state IQ predicts state outcome variables (e.g., gross state product, health, violent crime, and government effectiveness) is estimated. State IQ shows positive correlations with gross state product, health, and government effectiveness and negative correlations with violent crime. These results are consistent with the extent to which IQ predicts outcomes at the level of the individual. Third, a research agenda is provided for improving estimates of state IQ, identifying factors that cause differences in state IQ, and delineating the role of IQ in predicting important variables.
Descriptors: Intelligence Quotient, Correlation, Causal Models, Predictor Variables, Crime, Government (Administrative Body), Public Health, State Standards, Productivity, Intelligence Tests, Intelligence Differences
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A