The multiple face(t)s of state conscientiousness: Predicting task performance and organizational citizenship behavior

Debusscher, Jonas; Hofmans, Joeri; Fruyt, Filip De

doi:10.1016/j.jrp.2016.06.009

Cited by 55 publications

(44 citation statements)

References 43 publications

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“…Hence, the use of a convenience sample would have resulted in more conservative estimates of the relationships between the variables under study. In addition, convenience samples are less problematic in within-person studies since employees are compared with themselves rather than to others (see Debusscher et al, in press for a similar reasoning).…”

Section: Discussionmentioning

confidence: 99%

Psychological Detachment Mediating the Daily Relationship between Workload and Marital Satisfaction

Germeys

Gieter

2017

Front. Psychol.

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Scholars already demonstrated that psychologically detaching from work after workhours can diminish or avoid the negative effects of job demands on employees' well-being. In this study, we examined a curvilinear relationship between workload and psychological detachment. Moreover, we investigated the moderating influence of an employee's work-home segmentation preference on the relation between detachment and marital satisfaction. In addition, we applied and extended the stressor-detachment model by examining detachment as a mediator of the relation between workload and marital satisfaction. A total of 136 employees participated in our daily diary survey study during 10 consecutive working days. The results of the Bayesian 2-level path analyses revealed a negative linear and curvilinear relationship between workload and psychological detachment on a daily basis. Daily detachment positively related to marital satisfaction, with one's preference to segment work from home reinforcing this relationship. Moreover, psychological detachment fully mediated the daily relationship between workload and marital satisfaction. Implications for practice and suggestions for future research are discussed.

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Section: Discussionmentioning

confidence: 99%

Psychological Detachment Mediating the Daily Relationship between Workload and Marital Satisfaction

Germeys

Gieter

2017

Front. Psychol.

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“…There is another prominent approach to separate general from specific abilities: the bifactor model [13]. Although its introduction dates way back, the bifactor model is recently and increasingly applied in studies predicting criterion variables by general and specific factors, not only in the area of cognitive abilities and school performance measures (e.g., [14,15,16,17,18,19,20,21,22,23,24]), but also in different other areas of psychological research such as motivation and engagement (e.g., [25,26,27]), clinical psychology (e.g., [28,29,30]), organizational psychology (e.g., [31]), personality psychology (e.g., [32,33]), and media psychology (e.g., [34]). The multitude of recently published studies using the bifactor model shows that it has become a standard model for predicting criterion variables by general and specific components.…”

Section: Introductionmentioning

confidence: 99%

Bifactor Models for Predicting Criteria by General and Specific Factors: Problems of Nonidentifiability and Alternative Solutions

et al. 2018

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The bifactor model is a widely applied model to analyze general and specific abilities. Extensions of bifactor models additionally include criterion variables. In such extended bifactor models, the general and specific factors can be correlated with criterion variables. Moreover, the influence of general and specific factors on criterion variables can be scrutinized in latent multiple regression models that are built on bifactor measurement models. This study employs an extended bifactor model to predict mathematics and English grades by three facets of intelligence (number series, verbal analogies, and unfolding). We show that, if the observed variables do not differ in their loadings, extended bifactor models are not identified and not applicable. Moreover, we reveal that standard errors of regression weights in extended bifactor models can be very large and, thus, lead to invalid conclusions. A formal proof of the nonidentification is presented. Subsequently, we suggest alternative approaches for predicting criterion variables by general and specific factors. In particular, we illustrate how (1) composite ability factors can be defined in extended first-order factor models and (2) how bifactor(S-1) models can be applied. The differences between first-order factor models and bifactor(S-1) models for predicting criterion variables are discussed in detail and illustrated with the empirical example.

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“…They therefore promote an integration of both trait and state principles when studying personality and individual differences (e.g. Beckmann, Beckmann, Minbashian, & Birney, 2013;Beckmann & Wood, 2017, 2020Wood, Beckmann, Birney, Beckmann, Minbashian, & Chau, 2019;Debusscher, Hofmans, & De Fruyt, 2017;Fleeson, 2001;Fleeson & Jayawickreme, 2015;Fleeson & Leicht, 2006;Mischel & Shoda, 1998).…”

Section: Trait-relevant Personality Statesmentioning

confidence: 99%

More than meets the ear: Individual differences in trait and state willingness to communicate as predictors of language learning performance in a Chinese EFL context

Zhang

Beckmann²,

Beckmann

2020

Language Teaching Research

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Chinese students are frequently seen as passive learners because of their apparent reluctance to speak, particularly in English classrooms. However, this impression seems to reflect a stereotype which is likely to confound willingness to communicate (WTC) and communication behaviour. In this article we argue for more attention to be paid to individual differences to complement culture-related explanations of differences in WTC. Self-report data on WTC at both trait and state levels and personality characteristics were analysed in relation to L2 language learning performance in a sample of 103 university students. Individual differences in WTCL1 were found to be strongly related to extraversion; whilst individual differences in WTCL2 were associated with openness to experience, conscientiousness, and agreeableness, rather than extraversion. Moreover, this study differentiates state WTCL2 from communication behaviour, and provides evidence for both trait and state WTCL2 being important predictors of L2 learning performance despite being differently related to personality. Our results overall suggest that exclusively relying on observable communication behaviour is likely to overlook effective antecedences of learning and performance. This study pleads for a more differentiated perspective on WTC and its personality correlates at both trait and state levels. It provides further evidence that WTC is a useful construct in working towards a better understanding of language learning processes.

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The multiple face(t)s of state conscientiousness: Predicting task performance and organizational citizenship behavior

Cited by 55 publications

References 43 publications

Psychological Detachment Mediating the Daily Relationship between Workload and Marital Satisfaction

Psychological Detachment Mediating the Daily Relationship between Workload and Marital Satisfaction

Bifactor Models for Predicting Criteria by General and Specific Factors: Problems of Nonidentifiability and Alternative Solutions

More than meets the ear: Individual differences in trait and state willingness to communicate as predictors of language learning performance in a Chinese EFL context

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