Scott, Michael, Caltabiano, Marie, and Sinnamon, Grant (2014) Validation of the tripartite model of anxiety and depression using the PANAS and PH-PANAS-C measures: exploring age and gender differences. In: Abstracts from the 13th Australian Conference on Personality and Individual Differences. p. 44. From: ACPID 2014: 13th Australian Conference on Personality and Individual Differences, 28-29 November 2014, Newcastle, NSW, Australia.

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Abstract

The tripartite model of anxiety and depression (TRAD model) which differentiates disordered affect through three independent dimensions (positive affect:PA, negative affect :NA and physiological hyperarousal:PH) is used extensively. Issues raised recently in the literature relate to the independence of the TRAD dimensions, cross loading of items, poor model fit across varied samples and sex differences in adolescent samples. In Australia, TRAD-based instruments are widely used in adult and child samples, though the psychometric integrity of these instruments remains largely unexamined. The present study investigated the psychometric validity of two of the most widely used TRAD measures – the adult PANAS and child PH-PANAS-C in Australian adults (n=184) and children (n=115), gender and age-related differences. Principal components analysis supported the integrity of the TRAD model and the age-specific requirements of separate measures for use in adults and younger populations. No sex differences in adolescents were found for NA on the PH-PANAS-C.

Item ID:	37597
Item Type:	Conference Item (Abstract / Summary)
Keywords:	tripartite model, anxiety, depression
Related URLs:	Organisation
Date Deposited:	26 Aug 2015 04:30
FoR Codes:	17 PSYCHOLOGY AND COGNITIVE SCIENCES > 1701 Psychology > 170106 Health, Clinical and Counselling Psychology @ 100%
SEO Codes:	92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 40% 92 HEALTH > 9202 Health and Support Services > 920209 Mental Health Services @ 40% 92 HEALTH > 9205 Specific Population Health (excl. Indigenous Health) > 920501 Child Health @ 20%
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