The latent structure of child depression: A taxometric analysis

Richey, J. Anthony; Schmidt, Norman B.; Lonigan, Christopher J.; Phillips, Beth M.; Catanzaro, Salvatore J.; Laurent, Jeff; Gerhardstein, Rebecca R.; Kotov, Roman

doi:10.1111/j.1469-7610.2009.02085.x

Cited by 22Child and Adolescent Psychosocial and Emotional DevelopmentMental Health Research TopicsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

The latent structure of child depression: A taxometric analysis

Richey, J. Anthony, Schmidt, Norman B., Lonigan, Christopher J., Phillips, Beth M., Catanzaro, Salvatore J., Laurent, Jeff, Gerhardstein, Rebecca R., Kotov, Roman·2009·Journal of Child Psychology and Psychiatry

DOI 10.1111/j.1469-7610.2009.02085.x

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Abstract

BACKGROUND: The current study examined the categorical versus continuous nature of child and adolescent depression among three samples of children and adolescents ranging from 5 to 19 years. METHODS: Depression was measured using the Children's Depression Inventory (CDI). Indicators derived from the CDI were based on factor analytic research on the CDI and included indices of: 1) social withdrawal, 2) anhedonia, 3) incompetence/maladjustment and 4) negative self-esteem. RESULTS: Taxometric procedures provided convergent support for the existence of a latent taxon across three independent samples. Internal and external consistency tests as well as Monte Carlo simulations supported the validity of the results. CONCLUSIONS: Multiple nonredundant procedures and samples were all consistently indicative of taxonicity in child depression.

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Several taxometric studies of youth depression have yielded mixed support for a dimensional versus taxonic latent structure.
“Several taxometric studies of youth depression have been conducted (e.g., Hankin, Fraley, Lahey, & Waldman, 2005; Liu, 2016; Richey et al., 2009; Solomon, Ruscio, Seeley, & Lewinsohn, 2006), with mixed support for a dimensional versus taxonic latent structure.”
From A Latent Structure Analysis of Cognitive Vulnerability to Depression in Adolescence (2019) · cites this paper as Richey et al., 2009

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Authors: Richey, J. A., Schmidt, N. B., Lonigan, C. J., Phillips, B. M., Catanzaro, S. J., Laurent, J., Gerhardstein, R. R., & Kotov, R.
Affiliations: Florida State University (US)
Illinois State University (US)
Western Illinois University (US)
Stony Brook University (US)
Corresponding author: Richey, J. Anthony
ORCID: Richey, J. Anthony
Schmidt, Norman B.
Lonigan, Christopher J.
Phillips, Beth M.
Kotov, Roman
Venue: Journal of Child Psychology and Psychiatry
Publisher: Wiley
Published: 2009-08-24
Volume: 50
Issue: 9
Pages: 1147-1155
ISSN: 0021-9630 (ISSN-L)
1469-7610
DOI: 10.1111/j.1469-7610.2009.02085.x
OpenAlex: W2118718878
Cited by: 22
References: 44
Citations by year: 2020: 1 · 2019: 1 · 2018: 2 · 2017: 4 · 2016: 1 · 2015: 2 · 2014: 3 · 2013: 2 · 2012: 1
FWCI: 2.12
Type: journal article
Language: en
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Journal of Child Psychology and Psychiatry (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords: childhood depression, adolescent depression, taxometric analysis, Children's Depression Inventory, social withdrawal, anhedonia, negative self-esteem, maladjustment
MeSH terms: Adolescent, Child, Child, Preschool, Depression, Depressive Disorder, Female, Humans, Male, Monte Carlo Method, Personality Inventory, Psychiatric Status Rating Scales, Young Adult

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The latent structure of child depression: A taxometric analysis

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