The development and factor structure of the Functional Assessment for multiple causaliTy (FACT)
Autor: | Dennis R. Dixon, Noha F. Minshawi, Johnny L. Matson, Julia D. Lott, Christopher L. Cooper, Ashvind N. Singh, Melissa A. Luke, Carrie J. Malone, David E. Kuhn, Rinita B. Laud, Michael L. Matson, Stephen B. Mayville |
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Rok vydání: | 2003 |
Předmět: |
Adult
Male Adolescent Psychometrics media_common.quotation_subject Test validity Factor structure Severity of Illness Index Developmental psychology Adult education Behavior Therapy Intellectual Disability Surveys and Questionnaires Intervention (counseling) Developmental and Educational Psychology Humans Child Function (engineering) Aged media_common Aged 80 and over Mental Disorders Reproducibility of Results Middle Aged Causality Clinical Psychology Female Factor Analysis Statistical Psychology Functional analysis (psychology) Cognitive psychology |
Zdroj: | Research in Developmental Disabilities. 24:485-495 |
ISSN: | 0891-4222 |
DOI: | 10.1016/j.ridd.2003.07.001 |
Popis: | Since behavioral intervention is linked to the findings of a functional assessment, the reality of behaviors maintained by multiple functions is a frequent and troublesome issue for clinicians and researchers. Current methods of functional assessment provide little help in the way of providing information useful for prioritizing intervention strategies for problematic behaviors maintained by multiple functions. In an effort to account for this deficiency, we developed the Functional Assessment for multiple CausaliTy (FACT). The FACT is an informant-based, forced-choice measure designed to identify the most prominent function associated with the occurrence of problem behaviors. In the present study, we describe the factor structure and internal consistency of the FACT. Suggestions are provided for future validation strategies. |
Databáze: | OpenAIRE |
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