A comparison of an actuarial and a linear model for predicting organizational behavior

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

A comparison of an actuarial and a linear model for predicting organizational behavior

Published Date

1980

Publisher

Type

Article

Abstract

Using an actuarial and a linear model for predicting organizational behavior, employee subgroups were identified through a hierarchical and convergent clustering of assessment variable profiles in a validation sample (N = 2,899) and cross-validated by assigning a holdout sample (N = 2,899) to the original subgroups on the basis of a minimum distance qualifier. Subgroup membership in both samples was significantly associated with current employment status and job performance. A linear discriminant function analysis of employment status and a linear regression analysis of job performance also yielded significant results. A comparison of the two models in terms of predictive accuracy indicated that the two models were essentially equivalent. However, it was concluded that the actuarial model was superior to the linear model, since a descriptive and behavioral taxonomy based on stable, homogeneous employee subgroups could be developed.

Keywords

Description

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Frank, Blake A. (1980). A comparison of an actuarial and a linear model for predicting organizational behavior. Applied Psychological Measurement, 4, 171-181. doi:10.1177/014662168000400204

Suggested citation

Frank, Blake A.. (1980). A comparison of an actuarial and a linear model for predicting organizational behavior. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/100029.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.