To sum or not to sum: taxometric analysis with ordered categorical assessment items.

Abstract:

:Meehl's taxometric method has been shown to differentiate between categorical and dimensional data, but there are many ways to implement taxometric procedures. When analyzing the ordered categorical data typically provided by assessment instruments, summing items to form input indicators has been a popular practice for more than 20 years. A Monte Carlo study compared the accuracy of taxometric analyses implemented in the traditional way (without summing items) and taxometric analyses implemented with the summed-input method. These analyses generated no support for the summed-input method, which substantially reduced discriminating power for 2 of the 3 procedures studied. Accuracy was highest when 5 or more indicators and 4 or more ordered categories were used. Findings from the simulation study were then used to help interpret the results for taxometric analyses of antisocial personality disorder criteria with real research data. In this example, the traditional method yielded clearer results than the summed-input method. Implications for the use and further study of the taxometric method in assessment research are discussed. (PsycINFO Database Record (c) 2009 APA, all rights reserved).

journal_name

Psychol Assess

journal_title

Psychological assessment

authors

Walters GD,Ruscio J

doi

10.1037/a0015010

subject

Has Abstract

pub_date

2009-03-01 00:00:00

pages

99-111

issue

1

eissn

1040-3590

issn

1939-134X

pii

2009-03401-013

journal_volume

21

pub_type

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