Pervasive Developmental Disorders Rating Scale
Development and Construct Validity
Bibliographic Data
| ID | 13652852 |
|---|---|
| Authors | Thomas O Williams (Virginia Tech, corresponding author), Ronald C Eaves (Auburn University) |
| Year | 2005 |
| Volume | 97 |
| Issue | 1 |
| Pages | 245-257 |
| Publication date | 2005-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychological Reports (JOURNAL) |
| Journal identifiers | ISSN: 0033-2941 • E-ISSN: 1558-691X |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.2466/pr0.97.1.245-257 |
| PMID | 16279331 |
| OpenAlex | W2050538150 |
| Language | EN |
| References cited | 12 |
The Pervasive Developmental Disorders Rating Scale was designed for use in screening of pervasive developmental disorders. This paper describes the rationale and development of the scale and assesses its construct validity with ratings from a sample of 362 children ranging in age from 1 to 12 years and diagnosed with autistic disorder. The hypothesized heirarchical factor model and two competing models were examined through confirmatory factor analysis. The analysis supported the factor structure of the hypothesized model in this particular sample of children with autistic disorder. Limitations and areas for research are discussed
Autism · Confirmatory factor analysis · Construct (python library · Construct validity · Developmental disorder · Developmental psychology · Pervasive developmental disorder · Psychometrics · Rating scale · Sample (material · Scale (ratio · Statistics · Structural equation modeling · Test validity · Autism Spectrum Disorder Research · Behavioral and Psychological Studies · Clinical Psychology · Family and Disability Support Research · Psychology
Multivariate data analysis
Factor Analysis and AIC
A Reliability Coefficient for Maximum Likelihood Factor Analysis
Factor Analysis and AIC
Single Sample Cross-Validation Indices for Covariance Structures
Structural Model Evaluation and Modification
Significance tests and goodness of fit in the analysis of covariance structures
| Highly cited | No |
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