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Gepubliceerd in: Child Psychiatry & Human Development 4/2009

01-12-2009 | Original Article

Personality Symptoms and Self-Esteem as Correlates of Psychopathology in Child Psychiatric Patients: Evaluating Multiple Informant Data

Auteurs: Sarah S. W. De Pauw, Ivan Mervielde, Barbara J. De Clercq, Filip De Fruyt, Sabine Tremmery, Dirk Deboutte

Gepubliceerd in: Child Psychiatry & Human Development | Uitgave 4/2009

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Abstract

Research on adulthood posits personality and self-esteem as important predictors of psychopathology. In childhood, however, the study of these relationships is complicated by the lack of consensus on how to combine data from multiple informants of child behavior. This study evaluates the relationships among personality symptoms, self-esteem and psychopathology in 60 child psychiatric patients (M age = 10.6) using principal component analysis (PCA) to aggregate data from multiple informants and compares this strategy with a single informant approach. When predictor and criterion measures were rated by a single informant, strong and differential relationships between personality symptoms, self-esteem and psychopathology are found. When multiple informant data were combined into composite scores by PCA, correlations decreased but remained significant. Hierarchical regression analyses affirm the robustness of the following pattern: Emotional Instability, Introversion and Global Self-Esteem are associated with internalizing whereas Disagreeableness and Behavioral Conduct primarily relate to externalizing problems.
Voetnoten
1
In the present sample, the ratio of N to the number of observed variables involved in the research problem (p) equals 30:1 (=60:2) and hence more than meets the varying guidelines recommending that this ratio should be in the 2:1–20:1 range to guarantee stable PCA solutions [4750]. Recent research, however, demonstrates the limited value of these traditional rules-of-thumb and points to the critical role of communalities across the p variables in order to achieve a stable recovery of population components [4850]. More in particular, it is specified that when communalities are high (benchmark set at 0.6), recovery of population factors from sample data is normally very good, even for samples much smaller than traditionally recommended [4850]. Because the communalities across all eleven pairs included in the PCA are consistently high (all greater than 0.6), the included sample size can be considered as more than adequate for conducting principal component analysis.
 
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Metagegevens
Titel
Personality Symptoms and Self-Esteem as Correlates of Psychopathology in Child Psychiatric Patients: Evaluating Multiple Informant Data
Auteurs
Sarah S. W. De Pauw
Ivan Mervielde
Barbara J. De Clercq
Filip De Fruyt
Sabine Tremmery
Dirk Deboutte
Publicatiedatum
01-12-2009
Uitgeverij
Springer US
Gepubliceerd in
Child Psychiatry & Human Development / Uitgave 4/2009
Print ISSN: 0009-398X
Elektronisch ISSN: 1573-3327
DOI
https://doi.org/10.1007/s10578-009-0140-2

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