Psychometric properties and norms of the German ABC-Community and PAS-ADD Checklist

► Evaluation of the German version of ABC-Community and PAS-ADD Checklist. ► Norms of ABC-Community and PAS-ADD Checklist were created. ► Parallel analysis was used for the first time to investigate factor structure. ► Both instruments showed good psychometric properties. ► Both instruments are reco...

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Published inResearch in developmental disabilities Vol. 32; no. 6; pp. 2431 - 2440
Main Authors Zeilinger, Elisabeth L., Weber, Germain, Haveman, Meindert J.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Ltd 01.11.2011
Elsevier
Subjects
ABC
ABC
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ISSN0891-4222
1873-3379
1873-3379
DOI10.1016/j.ridd.2011.07.017

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Abstract ► Evaluation of the German version of ABC-Community and PAS-ADD Checklist. ► Norms of ABC-Community and PAS-ADD Checklist were created. ► Parallel analysis was used for the first time to investigate factor structure. ► Both instruments showed good psychometric properties. ► Both instruments are recommended for use in the German language version. The aim of the present study was to standardize and generate psychometric evidence of the German language versions of two well-established English language mental health instruments: the Aberrant Behavior Checklist-Community (ABC-C) and the Psychiatric Assessment Schedule for Adults with Developmental Disabilities (PAS-ADD) Checklist. New methods in this field were introduced: a simulation method for testing the factor structure and an exploration of long-term stability over two years. The checklists were both administered to a representative sample of 270 individuals with intellectual disability (ID) and, two years later in a second data collection, to 128 participants of the original sample. Principal component analysis and parallel analysis were performed. Reliability measures, long-term stability, subscale intercorrelations, as well as standardized norms were generated. Prevalence of mental health problems was examined. Psychometric properties were mostly excellent, with long-term stability showing moderate to strong effects. The original factor structure of the ABC-C was replicated. PAS-ADD Checklist produced a similar, but still different structure compared with findings from the English language area. The overall prevalence rate of mental health problems in the sample was about 20%. Considering the good results on the measured psychometric properties, the two checklists are recommended for the early detection of mental health problems in persons with ID.
AbstractList Aim: The aim of the present study was to standardize and generate psychometric evidence of the German language versions of two well-established English language mental health instruments: the "Aberrant Behavior Checklist-Community" (ABC-C) and the "Psychiatric Assessment Schedule for Adults with Developmental Disabilities" (PAS-ADD) Checklist. New methods in this field were introduced: a simulation method for testing the factor structure and an exploration of long-term stability over two years. Methods: The checklists were both administered to a representative sample of 270 individuals with intellectual disability (ID) and, two years later in a second data collection, to 128 participants of the original sample. Principal component analysis and parallel analysis were performed. Reliability measures, long-term stability, subscale intercorrelations, as well as standardized norms were generated. Prevalence of mental health problems was examined. Results: Psychometric properties were mostly excellent, with long-term stability showing moderate to strong effects. The original factor structure of the ABC-C was replicated. PAS-ADD Checklist produced a similar, but still different structure compared with findings from the English language area. The overall prevalence rate of mental health problems in the sample was about 20%. Conclusion: Considering the good results on the measured psychometric properties, the two checklists are recommended for the early detection of mental health problems in persons with ID. (Contains 6 tables.)
The aim of the present study was to standardize and generate psychometric evidence of the German language versions of two well-established English language mental health instruments: the Aberrant Behavior Checklist-Community (ABC-C) and the Psychiatric Assessment Schedule for Adults with Developmental Disabilities (PAS-ADD) Checklist. New methods in this field were introduced: a simulation method for testing the factor structure and an exploration of long-term stability over two years. The checklists were both administered to a representative sample of 270 individuals with intellectual disability (ID) and, two years later in a second data collection, to 128 participants of the original sample. Principal component analysis and parallel analysis were performed. Reliability measures, long-term stability, subscale intercorrelations, as well as standardized norms were generated. Prevalence of mental health problems was examined. Psychometric properties were mostly excellent, with long-term stability showing moderate to strong effects. The original factor structure of the ABC-C was replicated. PAS-ADD Checklist produced a similar, but still different structure compared with findings from the English language area. The overall prevalence rate of mental health problems in the sample was about 20%. Considering the good results on the measured psychometric properties, the two checklists are recommended for the early detection of mental health problems in persons with ID.
Aim: The aim of the present study was to standardize and generate psychometric evidence of the German language versions of two well-established English language mental health instruments: the Aberrant Behavior Checklist-Community (ABC-C) and the Psychiatric Assessment Schedule for Adults with Developmental Disabilities (PAS-ADD) Checklist. New methods in this field were introduced: a simulation method for testing the factor structure and an exploration of long-term stability over two years. Methods: The checklists were both administered to a representative sample of 270 individuals with intellectual disability (ID) and, two years later in a second data collection, to 128 participants of the original sample. Principal component analysis and parallel analysis were performed. Reliability measures, long-term stability, subscale intercorrelations, as well as standardized norms were generated. Prevalence of mental health problems was examined. Results: Psychometric properties were mostly excellent, with long-term stability showing moderate to strong effects. The original factor structure of the ABC-C was replicated. PAS-ADD Checklist produced a similar, but still different structure compared with findings from the English language area. The overall prevalence rate of mental health problems in the sample was about 20%. Conclusion: Considering the good results on the measured psychometric properties, the two checklists are recommended for the early detection of mental health problems in persons with ID. [Copyright Elsevier B.V.]
The aim of the present study was to standardize and generate psychometric evidence of the German language versions of two well-established English language mental health instruments: the Aberrant Behavior Checklist-Community (ABC-C) and the Psychiatric Assessment Schedule for Adults with Developmental Disabilities (PAS-ADD) Checklist. New methods in this field were introduced: a simulation method for testing the factor structure and an exploration of long-term stability over two years.AIMThe aim of the present study was to standardize and generate psychometric evidence of the German language versions of two well-established English language mental health instruments: the Aberrant Behavior Checklist-Community (ABC-C) and the Psychiatric Assessment Schedule for Adults with Developmental Disabilities (PAS-ADD) Checklist. New methods in this field were introduced: a simulation method for testing the factor structure and an exploration of long-term stability over two years.The checklists were both administered to a representative sample of 270 individuals with intellectual disability (ID) and, two years later in a second data collection, to 128 participants of the original sample. Principal component analysis and parallel analysis were performed. Reliability measures, long-term stability, subscale intercorrelations, as well as standardized norms were generated. Prevalence of mental health problems was examined.METHODSThe checklists were both administered to a representative sample of 270 individuals with intellectual disability (ID) and, two years later in a second data collection, to 128 participants of the original sample. Principal component analysis and parallel analysis were performed. Reliability measures, long-term stability, subscale intercorrelations, as well as standardized norms were generated. Prevalence of mental health problems was examined.Psychometric properties were mostly excellent, with long-term stability showing moderate to strong effects. The original factor structure of the ABC-C was replicated. PAS-ADD Checklist produced a similar, but still different structure compared with findings from the English language area. The overall prevalence rate of mental health problems in the sample was about 20%.RESULTSPsychometric properties were mostly excellent, with long-term stability showing moderate to strong effects. The original factor structure of the ABC-C was replicated. PAS-ADD Checklist produced a similar, but still different structure compared with findings from the English language area. The overall prevalence rate of mental health problems in the sample was about 20%.Considering the good results on the measured psychometric properties, the two checklists are recommended for the early detection of mental health problems in persons with ID.CONCLUSIONConsidering the good results on the measured psychometric properties, the two checklists are recommended for the early detection of mental health problems in persons with ID.
► Evaluation of the German version of ABC-Community and PAS-ADD Checklist. ► Norms of ABC-Community and PAS-ADD Checklist were created. ► Parallel analysis was used for the first time to investigate factor structure. ► Both instruments showed good psychometric properties. ► Both instruments are recommended for use in the German language version. The aim of the present study was to standardize and generate psychometric evidence of the German language versions of two well-established English language mental health instruments: the Aberrant Behavior Checklist-Community (ABC-C) and the Psychiatric Assessment Schedule for Adults with Developmental Disabilities (PAS-ADD) Checklist. New methods in this field were introduced: a simulation method for testing the factor structure and an exploration of long-term stability over two years. The checklists were both administered to a representative sample of 270 individuals with intellectual disability (ID) and, two years later in a second data collection, to 128 participants of the original sample. Principal component analysis and parallel analysis were performed. Reliability measures, long-term stability, subscale intercorrelations, as well as standardized norms were generated. Prevalence of mental health problems was examined. Psychometric properties were mostly excellent, with long-term stability showing moderate to strong effects. The original factor structure of the ABC-C was replicated. PAS-ADD Checklist produced a similar, but still different structure compared with findings from the English language area. The overall prevalence rate of mental health problems in the sample was about 20%. Considering the good results on the measured psychometric properties, the two checklists are recommended for the early detection of mental health problems in persons with ID.
Author Zeilinger, Elisabeth L.
Haveman, Meindert J.
Weber, Germain
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Issue 6
Keywords ABC
Intellectual disability
PAS-ADD Checklist
Challenging behavior
Mental health
Psychiatric disorder
Handicap
Questionnaire
Psychometrics
Developmental disorder
German
Mental retardation
Behavioral disorder
Test validation
Intellectual deficiency
Mental disorder
Community
Language English
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Snippet ► Evaluation of the German version of ABC-Community and PAS-ADD Checklist. ► Norms of ABC-Community and PAS-ADD Checklist were created. ► Parallel analysis was...
Aim: The aim of the present study was to standardize and generate psychometric evidence of the German language versions of two well-established English...
The aim of the present study was to standardize and generate psychometric evidence of the German language versions of two well-established English language...
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SubjectTerms ABC
Adolescent
Adolescents
Adult
Adult and adolescent clinical studies
Age Factors
Aged
Aged, 80 and over
Biological and medical sciences
Challenging behavior
Check Lists
Checklists
Comparative Analysis
Correlation
Developmental Disabilities
Developmental Disabilities - diagnosis
Developmental Disabilities - epidemiology
Developmental Disabilities - psychology
Disability Evaluation
English language
Factor Structure
Factor structures
Female
German
Germany
Humans
Identification
Incidence
Intellectual deficiency
Intellectual disability
Intellectual Disability - diagnosis
Intellectual Disability - epidemiology
Intellectual Disability - psychology
Language Tests - standards
Language Tests - statistics & numerical data
Male
Measures (Individuals)
Medical sciences
Mental Disorders
Mental Disorders - diagnosis
Mental Disorders - epidemiology
Mental Disorders - psychology
Mental Health
Mental Retardation
Middle Aged
PAS-ADD Checklist
Prevalence
Psychiatric disorder
Psychiatric disorders
Psychiatric Status Rating Scales - standards
Psychiatric Status Rating Scales - statistics & numerical data
Psychology. Psychoanalysis. Psychiatry
Psychometric properties
Psychometrics
Psychometrics - methods
Psychometrics - standards
Psychometrics - statistics & numerical data
Psychopathology. Psychiatry
Reliability
Simulation
Social Behavior
Young Adult
Title Psychometric properties and norms of the German ABC-Community and PAS-ADD Checklist
URI https://dx.doi.org/10.1016/j.ridd.2011.07.017
http://eric.ed.gov/ERICWebPortal/detail?accno=EJ942689
https://www.ncbi.nlm.nih.gov/pubmed/21824747
https://www.proquest.com/docview/1023093541
https://www.proquest.com/docview/897814305
Volume 32
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