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Journal of Psychopathology and Behavioral Assessment

Gepubliceerd in:

01-03-2010

Ruminating on Rumination: are Rumination on Anger and Sadness Differentially Related to Aggression and Depressed Mood?

Auteurs: Maya Peled, Marlene M. Moretti

Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment | Uitgave 1/2010

Abstract

Rumination is a risk factor for aggression and depression, yet few studies have incorporated both aggression and depression in a unitary model that reflects how rumination predicts these distinct conditions. The current study examined rumination on anger and sadness to assess their unique relations with aggression and depressed mood, respectively. Analogous anger rumination and sadness rumination questionnaires were used to minimize measurement variance, and were completed by 226 undergraduate students. Factor analysis suggested one general rumination factor comprised of two distinct sub-factors of anger rumination and sadness rumination. Path analysis confirmed unique relations between anger rumination and aggression, and sadness rumination and depressed mood. Further, anger rumination and anger were independent predictors of aggression. Results supported the conceptualization of anger rumination and sadness rumination as distinct constructs and underscore the importance of pursuing research that incorporates both forms of rumination to better understand how they impact development, mental health, and behavior.

vorige artikel Separation Anxiety and Oppositional Defiant Behavior: Perceived Comorbidity Resulting from Ambiguous Behavioral Items

volgende artikel Assessment of Behavior Problems in Childhood and Adolescence as Predictors of Early Adult Depression

The results of factor analysis (FA; pattern matrix) rather than principal components analysis (PCA) were reported because FA is recommended when the goal of the analysis is to detect structure whereas PCA is preferred as a method of data reduction (see Floyd and Widaman 1995). Direct oblimin rotation was performed because this is the standard method for non-orthogonal solutions (i.e., the factors are allowed to be correlated). It is important to note that other methods (e.g., PCA with varimax rotation; maximum likelihood factoring with oblimin rotation) yielded the same factor structure as principal axis factoring with oblimin rotation.

The chi-square value should not be significant if there is good model fit. For the RMSEA, Hu and Bentler (2001) have suggested values less than or equal to .06 as the cutoff for good model fit, and .08 as the cutoff for adequate fit. The CFI ranges from 0 to 1, with values closer to 1 indicating better fit.

Two highly correlated predictors, such as rumination on anger and sadness, could potentially pose problems associated with collinearity, whereby estimates of individual regression weights would not be reliable. However, the accuracy of the predictions would not be affected. Further, the TOL (.46), VIF (2.20) and Condition Indices (1; 8.6; 13) indicated that collinearity was not a problem in this study. Indicators of collinearity problems would be TOL < .1; VIF > 10; and Condition Index >15.

For GLM, covariates can be used with dependent variables to define a regression model.

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Titel: Ruminating on Rumination: are Rumination on Anger and Sadness Differentially Related to Aggression and Depressed Mood?
Auteurs: Maya Peled
Marlene M. Moretti
Publicatiedatum: 01-03-2010
Uitgeverij: Springer US
Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment / Uitgave 1/2010
Print ISSN: 0882-2689
Elektronisch ISSN: 1573-3505
DOI: https://doi.org/10.1007/s10862-009-9136-2

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