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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.




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.


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.
Content:
Front Matter....Pages i-x
Introduction....Pages 1-6
A Validity Generalization Model....Pages 7-20
Estimation....Pages 21-37
Summary and Discussion of Validity Generalization....Pages 38-44
A Conditional Mixture Model for Correlation Coefficients....Pages 45-51
Parameter Estimation....Pages 52-53
Examples and Applications....Pages 54-70
Artifact Corrections and Model Assumptions....Pages 71-80
Back Matter....Pages 81-95


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.
Content:
Front Matter....Pages i-x
Introduction....Pages 1-6
A Validity Generalization Model....Pages 7-20
Estimation....Pages 21-37
Summary and Discussion of Validity Generalization....Pages 38-44
A Conditional Mixture Model for Correlation Coefficients....Pages 45-51
Parameter Estimation....Pages 52-53
Examples and Applications....Pages 54-70
Artifact Corrections and Model Assumptions....Pages 71-80
Back Matter....Pages 81-95
....
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