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NCJ Number: 221031 Find in a Library
Title: Taxometric Analysis: An Empirically Grounded Approach to Implementing the Method
Journal: Criminal Justice and Behavior  Volume:34  Issue:12  Dated:December 2007  Pages:1588-1622
Author(s): John Ruscio
Date Published: December 2007
Page Count: 35
Type: Measurement/Evaluation Device
Format: Article
Language: English
Country: United States of America
Annotation: This article provides an overview of the taxometric analysis method’s inferential framework and data-analytic procedures.
Abstract: The taxometric method, a structural model of individual differences, was developed by Paul Meehl in 1995. To use this method, one analyzes observed variables for consistent evidence in support of either a taxonic or dimensional model of a constructs latent structure. This description involves four important aspects of the method: (1) individual differences are characterized as categorical (taxonic) or continuous (dimensional); (2) the taxonic method examines a construct’s latent, rather than manifest, structure; (3) the objective of a taxometric analysis is intentionally narrow; and (4) when performing a taxometric analysis, results that consistently support an inference of taxonic or dimensional latent structure are sought, and the method contains many tools for checking the consistency of results. Whether individual differences are treated as categorical or continuous has consequences for theory, assessment, classification, and research in criminal justice. The taxometric method allows investigators to test between these two competing structural models. This article provides an overview of the taxometric method. Because guidelines for implementing taxometric analyses and interpreting their results have received little research attention, investigators are encouraged to adopt an empirically grounded approach to taxometric analysis rather than following conventions or relying on personal opinion. Tables, figures and references
Main Term(s): Individual behavior
Index Term(s): Personality assessment; Research design; Research design models; Research methods
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