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Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment 3/2016

16-02-2016

Measuring Outcome Expectancies for Specific Coping Behaviors: the Coping Expectancies Scale (CES)

Auteurs: Dara G. Friedman-Wheeler, Jo Ellyn Pederson, Hilda M. Rizzo-Busack, David A. F. Haaga

Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment | Uitgave 3/2016

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Abstract

Outcome expectancies for specific coping strategies may help explain why people vary in their choices of coping strategies (e.g., whether to smoke a cigarette or talk to a friend). These choices have relevance to both physical and mental health. The current study evaluated the psychometric properties of a new measure of mood regulation expectancies for specific explicit coping strategies, the Coping Expectancies Scale (CES). 552 adults completed the CES and other measures online. Factor analysis of the CES using Maximum Likelihood Extraction with promax rotation revealed three factors: Expectancies for Passive/Avoidant Coping, Expectancies for Active Behavioral Coping, and Expectancies for Active Cognitive Coping. Concurrent, discriminant, and predictive validity for these factors were strong, as was retest reliability. The CES enables researchers to measure expectancies for specific coping strategies, which may in turn help to explain people’s choices of strategies. In addition, the ability to measure these expectancies may allow for the development of treatment interventions that directly target them, ultimately enabling clients to adjust their expectancies and their choices of coping behavior, with implications for health and well-being.
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Voetnoten
1
Six minute minimum used because median time to complete (for all 592 adults) was 13 min (25th%ile = 10, 75th%ile = 17), and it was deemed that those completing the study in six or fewer minutes were likely not reading the questions carefully; 60 min maximum chosen because it was deemed that individuals taking more than 1 h to complete the study were likely not completing it uninterrupted. Time to complete the study was not related to age or to version of the study completed.
 
2
None of the participants who completed time 2 was Hispanic/Latino, whereas 9 % of those invited to complete time 2 were Hispanic/Latino (X 2  = 8.2, p = .004). There were no differences between those who were invited and those who completed time 2, with respect to age or race, or any of the CES subscales at baseline.
 
3
Of course, an alternative way of capturing this variability would be to analyze each vignette separately. We chose an intermediate level of aggregation (aggregating across vignettes and into factor scores, but not into a total score), to provide specificity with respect to the constructs of interest (expectancies for types of coping) without making the scoring and interpretation of CES data excessively cumbersome.
 
4
We excluded participants from specific analyses (pairwise deletion) if they did not provide sufficient data on a relevant measure (i.e., if more than 10 % of a scale or subscale was missing).
 
5
In parallel analysis, random data sets are generated that are parallel to the actual data set, in that they contain the same number of observations and variables. If the eigenvalues for a given factor are greater from the random data than from the actual data, the factor is not retained.
 
6
Omega-hierarchical cannot be calculated for 2-item scales (expectancies for active cognitive coping, in the present study). In such cases, ω h is considered to be equal to alpha (W. Revelle, personal communication, June 30, Revelle 2010).
 
7
Spearman’s rho used because age was not normally distributed.
 
8
We also examined concurrent validity for a 10-item version of the CES (combining the items that loaded on the three retained factors). Concurrent validity correlations of the 10-item total score with the criterion variables were in every case between the correlation for the passive/avoidant factor and the two active coping factors, and in every case closer in absolute value to the correlation involving the passive/avoidant factor. Performing more like the passive-avoidant factor makes sense because that factor contributed more items (5) to the truncated CES than did the active behavioral (3) or active cognitive (2) factors. Nonetheless, we believe that the factor correlations are more illuminating than an aggregate version collapsing across them. To take one example, the 10-strategy CES showed a weak nonsignificant correlation (−.09) with the Coping Attitude Scale, but that result masks medium-sized, significant relations in opposing directions for passive-avoidant (r = −.30) vs. active-behavioral (.40) and active-cognitive (.23) factors. The 10-item version of the CES was also uncorrelated with social desirability (r = .04, p = .68). Full results available upon request.
 
9
In fact, distraction loaded by itself on a fourth factor, and exercise and spirituality loaded on a fifth factor, but these factors were not retained, per results of parallel analysis.
 
10
Indeed, projected use of passive/avoidant coping was higher for women (1.66) than for men (1.21), in the current study (t(83) = −2.28, p = .03).
 
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Metagegevens
Titel
Measuring Outcome Expectancies for Specific Coping Behaviors: the Coping Expectancies Scale (CES)
Auteurs
Dara G. Friedman-Wheeler
Jo Ellyn Pederson
Hilda M. Rizzo-Busack
David A. F. Haaga
Publicatiedatum
16-02-2016
Uitgeverij
Springer US
Gepubliceerd in
Journal of Psychopathology and Behavioral Assessment / Uitgave 3/2016
Print ISSN: 0882-2689
Elektronisch ISSN: 1573-3505
DOI
https://doi.org/10.1007/s10862-016-9539-9

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