| Autor: |
Stull SW; Department of Biobehavioral Health., Mogle J; Edna Bennett Pierce Prevention Research Center., Bertz JW; Intramural Research Program., Burgess-Hull AJ; Intramural Research Program., Panlilio LV; Intramural Research Program., Lanza ST; Department of Biobehavioral Health., Preston KL; Intramural Research Program., Epstein DH; Intramural Research Program. |
| Jazyk: |
angličtina |
| Zdroj: |
Psychological assessment [Psychol Assess] 2022 Oct; Vol. 34 (10), pp. 966-977. Date of Electronic Publication: 2022 Aug 18. |
| DOI: |
10.1037/pas0001160 |
| Abstrakt: |
In intensive longitudinal studies using ecological momentary assessment, mood is typically assessed by repeatedly obtaining ratings for a large set of adjectives. Summarizing and analyzing these mood data can be problematic because the reliability and factor structure of such measures have rarely been evaluated in this context, which-unlike cross-sectional studies-captures between- and within-person processes. Our study examined how mood ratings (obtained thrice daily for 8 weeks; n = 306, person moments = 39,321) systematically vary and covary in outpatients receiving medication for opioid use disorder (MOUD). We used generalizability theory to quantify several aspects of reliability, and multilevel confirmatory factor analysis (MCFA) to detect factor structures within and across people. Generalizability analyses showed that the largest proportion of systematic variance across mood items was at the person level, followed by the person-by-day interaction and the (comparatively small) person-by-moment interaction for items reflecting low arousal. The best-fitting MCFA model had a three-factor structure both at the between- and within-person levels: positive mood, negative mood, and low-arousal states (with low arousal considered as either a separate factor or a subfactor of negative mood). We conclude that (a) mood varied more between days than between moments and (b) low arousal may be worth scoring and reporting separately from positive and negative mood states, at least in a MOUD population. Our three-factor structure differs from prior analyses of mood; more work is needed to understand the extent to which it generalizes to other populations. (PsycInfo Database Record (c) 2022 APA, all rights reserved). |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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