Distributions of Correlation Coefficients

1. Front Matter

   Pages i-x

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2. Introduction

   • Hoben Thomas

   Pages 1-6

3. A Validity Generalization Model

   • Hoben Thomas

   Pages 7-20

4. Estimation

   • Hoben Thomas

   Pages 21-37

5. Summary and Discussion of Validity Generalization

   • Hoben Thomas

   Pages 38-44

6. A Conditional Mixture Model for Correlation Coefficients

   • Hoben Thomas

   Pages 45-51

7. Parameter Estimation

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   Pages 52-53

8. Examples and Applications

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   Pages 54-70

9. Artifact Corrections and Model Assumptions

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   Pages 71-80

10. Back Matter

    Pages 81-95

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An important problem in personnel psychology, namely, the psychometric problem known as "validity generalization" is addressed in this volume. From a statistical point of view, the problem is how to make statements about a population correlation coefficient based on inferences from a collection of sample correlation coefficients. The first part of the book examines the largely ad hoc procedures which have been used to determine validity generalization. The second part develops a new model formulated from the perspective of finite mixture theory and, in addition, illustrates its use in several applications.

• Estimator
• Evaluation
• Likelihood
• correlation
• psychology
• test theory

• Department of Psychology, Pennsylvania State University, University Park, USA

  Hoben Thomas

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