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Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)

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Developing and validating the "composite measure of problem behaviors".

Jessica Kingston¹, Sue Clarke, Timothy Ritchie

¹University of Southampton. Kingston_jessica@hotmail.com

Journal of Clinical Psychology

|March 30, 2011

Summary

This summary is machine-generated.

A new Composite Measure of Problem Behaviors was developed to assess various harmful behaviors like self-harm and addiction. This validated scale identifies a common underlying factor linking these diverse, yet co-occurring, behavioral issues.

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Area of Science:

Psychology
Behavioral Science
Psychometrics

Background:

Clinicians frequently encounter diverse problem behaviors, including self-harm, eating disorders, substance misuse, and addiction.
These behaviors often co-occur, but a unified measurement tool is lacking.
Existing measures do not capture the concurrent nature of these varied behaviors.

Purpose of the Study:

To design and validate a composite measure for concurrently assessing a range of problem behaviors.
To investigate the underlying structure and psychometric properties of this new measure.
To explore the potential for a common factor underlying diverse problem behaviors.

Main Methods:

Development of the Composite Measure of Problem Behaviors using exploratory factor analysis on initial samples (N = 691, N = 53).
Validation of the measure through confirmatory factor analysis on combined samples (N = 691, N = 740).
Statistical analysis to identify a common higher-order factor explaining behavioral covariation.

Main Results:

The Composite Measure of Problem Behaviors demonstrated good psychometric properties.
Exploratory and confirmatory factor analyses supported the measure's structure.
A significant common higher-order factor was identified, accounting for the covariance between disparate problem behaviors.

Conclusions:

The Composite Measure of Problem Behaviors is a psychometrically sound tool for assessing multiple concurrent problem behaviors.
Findings suggest a shared underlying functional mechanism may drive the co-occurrence of diverse problem behaviors.
This measure can aid clinicians in understanding and addressing the complex interplay of these behaviors.