Latent Class and Factor Analysis of DSM-IV ADHD: A Twin Study of Female Adolescents

Steppan, M., Piontek, D., & Kraus, L. (2014). The effect of sample selection on the distinction between alcohol abuse and dependence. The International Journal Of Alcohol And Drug Research, 3(2), 159-168. doi:http://dx.doi.org/10.7895/ijadr.v3i2.100Aim: The effect of sample selection on the dimensionality of DSM-IV alcohol and dependence (AUD) criteria was tested applying different methods.Sample: Data from the 2006 German Epidemiological Survey of Substance Abuse (ESA) were used. A mixed-mode design was used (self-administered questionnaires and telephone interviews), and 7,912 individuals, aged 18 to 64 years, participated. The response rate was 45%. Alcohol abuse and dependence were assessed according to DSM-IV, based on the Munich Composite International Diagnostic Interview (M-CIDI). Inter-item correlations, Confirmatory Factor Analysis (CFA), and Latent Class Analysis (LCA) were applied to the total sample (unrestricted sample, URS) and a subsample of individuals with at least one endorsed criterion (restricted sample, RS). Latent Class Factor Analysis (LCFA) was performed using the RS, including covariates (age, sex, education).Findings: The mean inter-item correlation was higher in the URS than in the RS. When individuals without criterion endorsement were excluded, factor analyses resulted in more dimensions. In the RS, LCA yielded an interaction between abuse, dependence and class membership. The LCFA identified two dimensions and five classes corresponding to abuse and dependence.Conclusions: Sample selection has a critical effect on dimensionality analyses. When individuals who do not endorse a single criterion are excluded, the bi-axial factor structure of the DSM-IV (abuse and dependence) can be supported. However, there is also evidence that a further diagnostic category should be included or that the threshold for dependence should be lowered.

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Mixture modelling of DSM-IV-TR paranoid personality disorder criteria in a general population sample

Advances in Methodology and Statistics ◽

10.51936/lqjd3890 ◽

2008 ◽

Vol 5 (1) ◽

Author(s):

Sharon Devine ◽

Brendan Bunting ◽

Siobhan McCann ◽

Sam Murphy

Keyword(s):

Factor Analysis ◽

Measurement Error ◽

Personality Disorder ◽

General Population ◽

Latent Class ◽

Population Sample ◽

Mixture Modelling ◽

Paranoid Personality Disorder ◽

Paranoid Personality ◽

Dsm Iv

Complications in the research into personality disorders may be rooted in the assumption within psychiatric diagnosis that underlying constructs are measured with equally valid observed items without rank or recognition of measurement error. The aim of this paper is to investigate the internal validity of DSM-IV (APA, 2000) paranoid personality disorder while accounting for measurement error and the continuous and categorical nature of the construct. General population data from the British Psychiatric Morbidity Survey (Singleton et al., 2001) was obtained from the Data Archives, University of Essex, England. Information from individuals with responses in the paranoid personality disorder section (n = 8393) of the Structured Clinical Interview for DSM-IV Axis II Disorders (SCID-II; First et al., 1997) screening questionnaire was analysed using confirmatory factor analysis (CFA), item response theory (IRT), latent class analysis (LCA) and latent class factor analysis (LCFA) mixture modelling. Results indicated that a one-factor model adequately represented the data, and that all items had reasonable factor loadings. However IRT analysis indicated that only four of the seven criteria discriminate well between individuals along different points of the underlying continuum. LCA and LCFA provided another perspective on the evaluation of paranoid personality disorder and indicated the presence of four underlying sub-populations. This is useful in terms of clinical and primary health settings as specific groups of interest can be investigated further in terms of characteristics, covariates and predictors.

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Alcohol Use Disorders: A Confirmatory Factor Analysis and Latent Class Analysis of the Latent Structure of Alcohol Use Symptoms Among Undergraduates

PsycEXTRA Dataset ◽

10.1037/e697182011-001 ◽

2011 ◽

Author(s):

Patrick B. Metoyer ◽

G. Leonard Burns ◽

Jerry Pastore

Keyword(s):

Factor Analysis ◽

Alcohol Use ◽

Confirmatory Factor Analysis ◽

Latent Class Analysis ◽

Latent Class ◽

Alcohol Use Disorders ◽

Latent Structure ◽

Class Analysis ◽

Confirmatory Factor

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The Classification of Eating Disorders

The Oxford Handbook of Eating Disorders ◽

10.1093/oxfordhb/9780195373622.013.0002 ◽

2010 ◽

pp. 7-24 ◽

Cited By ~ 1

Author(s):

Kathryn H. Gordon ◽

Jill M. Holm-Denoma ◽

Ross D. Crosby ◽

Stephen A. Wonderlich

Keyword(s):

Eating Disorders ◽

Eating Disorder ◽

Latent Class ◽

Minority Groups ◽

Statistical Manual ◽

Text Revision ◽

Diagnostic And Statistical Manual ◽

Key Issues ◽

Dsm Iv

The purpose of the chapter is to elucidate the key issues regarding the classification of eating disorders. To this end, a review of nosological research in the area of eating disorders is presented, with a particular focus on empirically based techniques such as taxometric and latent class analysis. This is followed by a section outlining areas of overlap between the current Diagnostic and Statistical Manual of Mental Disorders – Fourth Edition, Text Revision (DSM-IV-TR; American Psychiatric Association, 2000) eating disorder categories and their symptoms. Next, eating disorder classification models that are alternatives to the DSM-IV-TR are described and critically examined in light of available empirical data. Finally, areas of controversy and considerations for change in next version of the DSM (i.e., the applicability of DSM criteria to minority groups, children, males; the question of whether clinical categories should be differentiated from research categories) are discussed.

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Factor analysis on ADHD and autism spectrum disorder DSM-IV-derived items shows lack of overlap

European Child & Adolescent Psychiatry ◽

10.1007/s00787-010-0127-3 ◽

2010 ◽

Vol 19 (10) ◽

pp. 797-798 ◽

Cited By ~ 7

Author(s):

Ahmad Ghanizadeh

Keyword(s):

Autism Spectrum Disorder ◽

Factor Analysis ◽

Autism Spectrum ◽

Spectrum Disorder ◽

Dsm Iv

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Factor analysis of the eating disorder examination in a sample of female adolescents and adults with eating disorders

International Journal of Eating Disorders ◽

10.1002/eat.23475 ◽

2021 ◽

Author(s):

Marie L. Kjeldbjerg ◽

Loa Clausen ◽

David R. M. A. Højgaard

Keyword(s):

Eating Disorders ◽

Factor Analysis ◽

Eating Disorder ◽

Female Adolescents ◽

Eating Disorder Examination ◽

Adolescents And Adults

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Cumulative risk, factor analysis, and latent class analysis of childhood adversity data in a nationally representative sample

Child Abuse & Neglect ◽

10.1016/j.chiabu.2022.105486 ◽

2022 ◽

Vol 125 ◽

pp. 105486

Author(s):

James Lian ◽

Kim M. Kiely ◽

Kaarin J. Anstey

Keyword(s):

Factor Analysis ◽

Risk Factor ◽

Latent Class Analysis ◽

Representative Sample ◽

Latent Class ◽

Cumulative Risk ◽

Childhood Adversity ◽

Risk Factor Analysis ◽

Class Analysis ◽

Nationally Representative

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Latent Class Analysis of DSM-5 Criteria for Opioid Use Disorders: Results from the Iranian National Survey on Mental Health

European Addiction Research ◽

10.1159/000369338 ◽

2015 ◽

Vol 21 (3) ◽

pp. 144-152 ◽

Cited By ~ 7

Author(s):

Mohammad Javad Tarrahi ◽

Afarin Rahimi-Movaghar ◽

Hojjat Zeraati ◽

Seyed Abbas Motevalian ◽

Masoumeh Amin-Esmaeili ◽

...

Keyword(s):

Mental Health ◽

Latent Class ◽

Composite International Diagnostic Interview ◽

Opioid Use Disorder ◽

Diagnostic Interview ◽

Opioid Use ◽

Dsm 5 ◽

Legal Problems ◽

Dsm Iv ◽

Opioid Users

Background: Assessments of DSM-IV and DSM-5 criteria with sample populations of opioid users are limited. This study aimed to determine the number of latent classes in opioid users and assessment of the proposed revisions to the DSM-5 opioid use disorder (OUD) criteria. Methods: Data came from the 2011 Iranian National Mental Health Survey (IranMHS) on 7,886 participants aged 15-64 years living in Iran. We used the Composite International Diagnostic Interview (CIDI) version 2.1 in all respondents who indicated using opioids at least 5 times in the previous 12 months (n = 236). Results: A three-class model provided the best fit of all the models tested. Classes showed a spectrum of severity that was compatible with the DSM-5 classification. ‘Legal problems' and ‘desire to cut down' showed poor discrimination between classes. The weighted prevalence of OUD using DSM-5 was 20.7% higher than with DSM-IV. Conclusions: Results support the grouping based on severity of symptoms, combining abuse and dependence into a single diagnosis, omitting legal problems, and addition of craving as a new criterion.

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