Psychometric properties of the Child Anxiety and Depression Life Interference Scale – Young Adult version
Objectives A life interference measure specifically designed for young adults with anxiety and depressive symptoms does not currently exist. This paper describes the development and psychometric evaluation of a brief self‐report measure of life interference associated with young adult anxiety and de...
Gespeichert in:
Veröffentlicht in: | British journal of clinical psychology 2024-11, Vol.63 (4), p.558-572 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Objectives
A life interference measure specifically designed for young adults with anxiety and depressive symptoms does not currently exist. This paper describes the development and psychometric evaluation of a brief self‐report measure of life interference associated with young adult anxiety and depression, the Child Anxiety and Depression Life Interference Scale – Young Adult version (CADLIS‐YA).
Design
Cross‐sectional, correlational and exploratory factor analysis (EFA).
Methods
Five‐hundred and thirty‐two participants aged 18–24 years recruited from an undergraduate and community sample completed the CADLIS‐YA.
Results
An EFA supported a three‐factor model describing the impact of young adult anxiety and depression on social life, family and daily life interference. Test–retest reliability and internal consistency were good to excellent. Convergent validity was demonstrated, and the scale differentiated between young adults with and without elevated anxiety and depressive symptoms. Support for divergent validity was limited.
Conclusions
The CADLIS‐YA is a reliable and valid life interference measure for young adults with symptoms of anxiety and depression. It is potentially suitable for administration in low‐resource research settings and it has promise for use in clinical settings; however, it needs validation in a clinical sample. |
---|---|
ISSN: | 0144-6657 2044-8260 |
DOI: | 10.1111/bjc.12486 |