A taxometric analysis of psychopathy in a Chinese prison sample

PsyCh Journal ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 924-933
Author(s):  
Fen Ren ◽  
Xiaomin Li ◽  
Gongxiang Chen ◽  
Meng‐Cheng Wang ◽  
Fangjing Xia
Keyword(s):  
Taxometric Analysis

scholarly journals On the latent structure of problem gambling: a taxometric analysis

Addiction ◽  
2014 ◽  
Vol 109 (10) ◽  
pp. 1707-1717 ◽  
Author(s):  
Richard J. E. James ◽  
Claire O'Malley ◽  
Richard J. Tunney
Keyword(s):  
Problem Gambling ◽  
Latent Structure ◽  
Taxometric Analysis

scholarly journals Performing Taxometric Analysis to Distinguish Categorical and Dimensional Variables

2011 ◽  
Vol 2 (2) ◽  
pp. 170-196 ◽  
Author(s):  
John Ruscio ◽  
Ayelet Meron Ruscio ◽  
Lauren M. Carney
Keyword(s):  
Taxometric Analysis

A taxometric analysis of health anxiety

2008 ◽  
Vol 39 (2) ◽  
pp. 277-285 ◽  
Author(s):  
E. Ferguson
Keyword(s):  
Health Anxiety ◽  
Theory Development ◽  
Simulated Data ◽  
Fit Indices ◽  
Maximum Eigenvalue ◽  
Taxometric Analysis ◽  
Working Adults ◽  
Current Health ◽  
Current Health Status ◽  
Status Data

BackgroundA long-standing issue in the health anxiety literature is the extent to which health anxiety is a dimensional or a categorical construct. This study explores this question directly using taxometric procedures.MethodSeven hundred and eleven working adults completed an index of health anxiety [the Whiteley Index (WI)] and indicated their current health status. Data from those who were currently healthy (n=501) and receiving no medical treatment were examined using three taxometric procedures: mean above minus below a cut (MAMBAC), maximum eigenvalue (MAXEIGEN) and L-mode factor analysis (L-MODE).ResultsGraphical representations (comparing actual to simulated data) and fit indices indicate that health anxiety is more accurately represented as a dimensional rather than a categorical construct.ConclusionsHealth anxiety is better represented as a dimensional construct. Implications for theory development and clinical practice are examined.

Taxometric Analysis

2021 ◽  
Author(s):  
John Ruscio ◽  
Shirley B. Wang
Keyword(s):  
Taxometric Analysis

scholarly journals The latent structure of social anxiety disorder and the performance only specifier: a taxometric analysis

2017 ◽  
Vol 46 (6) ◽  
pp. 507-521 ◽  
Author(s):  
Grace B. Boyers ◽  
Joshua J. Broman-Fulks ◽  
David P. Valentiner ◽  
Kathleen McCraw ◽  
Lisa Curtin ◽  
...  
Keyword(s):  
Anxiety Disorder ◽  
Social Anxiety ◽  
Social Anxiety Disorder ◽  
Latent Structure ◽  
Taxometric Analysis

scholarly journals Taxometric Analysis of Secure Base Script Knowledge in Middle Childhood Reveals Categorical Latent Structure

2019 ◽  
Vol 90 (3) ◽  
pp. 694-707 ◽  
Author(s):  
Theodore E.A. Waters ◽  
Christopher R. Facompré ◽  
Adinda Dujardin ◽  
Magali Van De Walle ◽  
Martine Verhees ◽  
...  
Keyword(s):  
Middle Childhood ◽  
Latent Structure ◽  
Secure Base ◽  
Taxometric Analysis ◽  
Secure Base Script

Is antisocial personality disorder continuous or categorical? A taxometric analysis

2006 ◽  
Vol 36 (11) ◽  
pp. 1571-1581 ◽  
Author(s):  
DAVID K. MARCUS ◽  
SCOTT O. LILIENFELD ◽  
JOHN F. EDENS ◽  
NORMAN G. POYTHRESS
Keyword(s):  
Personality Disorder ◽  
Antisocial Personality Disorder ◽  
Statistical Power ◽  
Structured Interview ◽  
Self Report ◽  
Latent Structure ◽  
Antisocial Personality ◽  
Taxometric Analysis ◽  
Dsm Iv ◽  
State Prisons

Background. Although the DSM-IV-TR is organized into discrete disorders, the question of whether a given disorder possesses a dimensional or a categorical latent structure is an empirical one that can be examined using taxometric methods. The objective of this study was to ascertain the latent structure of antisocial personality disorder (ASPD).Method. Participants were 1146 male offenders incarcerated in state prisons (n=569), or court-ordered to residential drug treatment (n=577). Participants were interviewed using the Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II) to assess ASPD symptoms; they also completed the Personality Diagnostic Questionnaire-4 (PDQ-4) ASPD scale. Taxometric analyses were performed to examine whether ASPD is underpinned by a discrete category or a dimensional construct.Results. Multiple taxometric procedures using two different sets of indicators provided no evidence that ASPD has a taxonic latent structure. Instead, the results were far more consistent with the proposition that ASPD exists on a continuum, regardless of whether it is assessed using a structured interview or a self-report measure.Conclusions. Evidence that ASPD is dimensional suggests that it is best studied using continuous measures and that dichotomizing individuals into ASPD versus non-ASPD groups will typically result in decreased statistical power. The findings are also consistent with a multifactorial etiology for ASPD and with recent attempts to conceptualize ASPD within the framework of extant dimensional models of personality.

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