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The confluence model: Parameter estimation for six divergent data sets on family factors and intelligence
Authors:R. B. Zajonc  John Bargh
Affiliation:The University of Michigan, USA
Abstract:Theoretical predictions, based on the confluence model, were made for data from six national surveys of intellectual performance. All six surveys relate intellectual performance scores to family configuration variables. Widely divergent patterns of relationships between the major family factors, such as birth order and family size, and intellectual performance scores characterize the six data sets. Nevertheless, the confluence model was capable of accurate prediction in all cases when all three parameters were estimated. Little accuracy was lost using only two parameters. Variations in the estimated parameter values that reflected the variations in patterns of effects could be meaningfully interpreted for their psychological significance.
Keywords:Requests for reprints should be sent to R. B. Zajonc   Research Center for Group Dynamics   University of Michigan   Ann Arbor   Michigan.
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