Literature DB >> 19234296

A taxometric investigation of DSM-IV major depression in a large outpatient sample: interpretable structural results depend on the mode of assessment.

John Ruscio1, Timothy A Brown, Ayelet Meron Ruscio.   

Abstract

Most taxometric studies of depressive constructs have drawn indicators from self-report instruments that do not bear directly on the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) diagnostic construct of major depressive disorder (MDD). The present study examined the latent structure of MDD using indicator sets constructed from a semistructured clinical interview, self-report questionnaires, and a combination of the two. Taxometric analyses were performed in a large sample of outpatients with primary mood or anxiety disorders. For clinical rating data, results were more consistent with taxonic than dimensional structure, an interpretation supported by additional data obtained from 27 independent raters and objective indices of curve fit. Questionnaire indicators yielded inconclusive results, and combined rating- questionnaire indicators yielded results suggestive of taxonic structure. The findings highlight the importance of assessment in the study of a construct's latent structure and extend recent findings suggesting that MDD may be taxonic.

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Mesh:

Year:  2009        PMID: 19234296      PMCID: PMC3536496          DOI: 10.1177/1073191108330065

Source DB:  PubMed          Journal:  Assessment        ISSN: 1073-1911


  32 in total

Review 1.  Categories and continua: a review of taxometric research.

Authors:  Nick Haslam; Helen C Kim
Journal:  Genet Soc Gen Psychol Monogr       Date:  2002-08

2.  A comparison of maximum covariance and K-means cluster analysis in classifying cases into known taxon groups.

Authors:  Theodore P Beauchaine; Robert J Beauchaine
Journal:  Psychol Methods       Date:  2002-06

3.  Pseudotaxonicity in MAMBAC and MAXCOV analyses of rating-scale data: turning continua into classes by manipulating observer's expectations.

Authors:  Theodore P Beauchaine; Everett Waters
Journal:  Psychol Methods       Date:  2003-03

4.  Is depression taxonic, dimensional, or both?

Authors:  Steven R H Beach; Nader Amir
Journal:  J Abnorm Psychol       Date:  2003-05

5.  Clarifying boundary issues in psychopathology: the role of taxometrics in a comprehensive program of structural research.

Authors:  John Ruscio; Ayelet Meron Ruscio
Journal:  J Abnorm Psychol       Date:  2004-02

6.  The latent structure of analogue depression: should the Beck Depression Inventory be used to classify groups?

Authors:  Ayelet Meron Ruscio; John Ruscio
Journal:  Psychol Assess       Date:  2002-06

7.  Cognitive vulnerability to depression: a taxometric analysis.

Authors:  Brandon E Gibb; Lauren B Alloy; Lyn Y Abramson; Christopher G Beevers; Ivan W Miller
Journal:  J Abnorm Psychol       Date:  2004-02

8.  Using taxometric analysis to distinguish a small latent taxon from a latent dimension with positively skewed indicators: the case of involuntary defeat syndrome.

Authors:  John Ruscio; Ayelet Meron Ruscio; Terence M Keane
Journal:  J Abnorm Psychol       Date:  2004-02

9.  Isolation and characterization of a nuclear depressive syndrome.

Authors:  W M Grove; N C Andreasen; M Young; J Endicott; M B Keller; R M Hirschfeld; T Reich
Journal:  Psychol Med       Date:  1987-05       Impact factor: 7.723

10.  The Depression Anxiety Stress Scales (DASS): normative data and latent structure in a large non-clinical sample.

Authors:  John R Crawford; Julie D Henry
Journal:  Br J Clin Psychol       Date:  2003-06
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  12 in total

1.  The structure of late-life depressive symptoms across a 20-year span: a taxometric investigation.

Authors:  Jason M Holland; Kathleen K Schutte; Penny L Brennan; Rudolf H Moos
Journal:  Psychol Aging       Date:  2010-03

2.  Substance Use Disorders in Adolescence Exist along Continua: Taxometric Evidence in an Epidemiological Sample.

Authors:  Richard T Liu
Journal:  J Abnorm Child Psychol       Date:  2017-11

3.  A Latent Structure Analysis of Cognitive Vulnerability to Depression in Adolescence.

Authors:  Richard T Liu; Brae Anne McArthur; Taylor A Burke; Jessica L Hamilton; Naoise Mac Giollabhui; Jonathan P Stange; Elissa J Hamlat; Lyn Y Abramson; Lauren B Alloy
Journal:  Behav Ther       Date:  2018-12-06

4.  A longitudinal investigation of the impact of life stress on HIV treatment adherence.

Authors:  Kathryn A Bottonari; Steven A Safren; John R McQuaid; Chiu-Bin Hsiao; John E Roberts
Journal:  J Behav Med       Date:  2010-06-25

5.  From laboratory to life: associating brain reward processing with real-life motivated behaviour and symptoms of depression in non-help-seeking young adults.

Authors:  Jindra M Bakker; Liesbet Goossens; Poornima Kumar; Iris M J Lange; Stijn Michielse; Koen Schruers; Jojanneke A Bastiaansen; Ritsaert Lieverse; Machteld Marcelis; Thérèse van Amelsvoort; Jim van Os; Inez Myin-Germeys; Diego A Pizzagalli; Marieke Wichers
Journal:  Psychol Med       Date:  2018-11-29       Impact factor: 7.723

6.  Taxometric evidence of a dimensional latent structure for depression in an epidemiological sample of children and adolescents.

Authors:  R T Liu
Journal:  Psychol Med       Date:  2016-01-08       Impact factor: 7.723

7.  Reward-Related Neural Circuitry in Depressed and Anxious Adolescents: A Human Connectome Project.

Authors:  Randy P Auerbach; David Pagliaccio; Nicholas A Hubbard; Isabelle Frosch; Rebecca Kremens; Elizabeth Cosby; Robert Jones; Viviana Siless; Nicole Lo; Aude Henin; Stefan G Hofmann; John D E Gabrieli; Anastasia Yendiki; Susan Whitfield-Gabrieli; Diego A Pizzagalli
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2021-06-05       Impact factor: 8.829

8.  Clarifying boundaries of binge eating disorder and psychiatric comorbidity: a latent structure analysis.

Authors:  Anja Hilbert; Kathleen M Pike; Denise E Wilfley; Christopher G Fairburn; Faith-Anne Dohm; Ruth H Striegel-Moore
Journal:  Behav Res Ther       Date:  2010-12-21

9.  Diagnostic criteria for depression in type 2 diabetes: a data-driven approach.

Authors:  Sergio E Starkstein; Wendy A Davis; Milan Dragovic; Violetta Cetrullo; Timothy M E Davis; David G Bruce
Journal:  PLoS One       Date:  2014-11-12       Impact factor: 3.240

10.  Moods in Clinical Depression Are More Unstable than Severe Normal Sadness.

Authors:  Rudy Bowen; Evyn Peters; Steven Marwaha; Marilyn Baetz; Lloyd Balbuena
Journal:  Front Psychiatry       Date:  2017-04-12       Impact factor: 4.157

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