Shared stressors and core self-evaluations: A trait activation perspective on employee performance

2021 ◽  
Vol 131 ◽  
pp. 103-111
Author(s):  
Nidhi S. Bisht ◽  
Ashish Mahajan
2016 ◽  
Vol 35 (5) ◽  
pp. 623-635 ◽  
Author(s):  
Scott L Boyar ◽  
Teresa A. Wagner ◽  
Amanda Petzinger ◽  
Ronald B. McKinley

Purpose – The purpose of this paper is to examine two important family roles, financial and caregiver, and their impact on four relevant outcome variables: absenteeism, partial absences, employee performance, and life satisfaction; they also explore the intervening impact of core self-evaluations (CSE) among these relationships. Design/methodology/approach – Data are collected using a questionnaire and actual employee performance data. Hypotheses were assessed in a structural model using LISREL. Findings – The results demonstrate the impact of family roles on important outcomes, such as absenteeism and life satisfaction, as well as limited support of the moderating impact of CSE. Further, life satisfaction was significantly impacted by family roles and influenced job performance. Research limitations/implications – Although the measures were self-reported, actual job performance data were collected from company records; such a design should limit the risk of common method variance (Podsakoff et al., 2003). Practical implications – Two family roles were shown to impact life satisfaction and these were positively moderated by CSE. Therefore, organization can develop family-friendly programs and policies to support employee’s multiple family roles in an effort to increase employee’s levels of life satisfaction and job performance. Incorporating CSE in the hiring process or providing employees with the skills and abilities to enhance their level of CSE should impact job performance. Originality/value – The study contributes by assessing family roles using gender-neutral measures that assess level of role engagement. It also incorporates a dispositional variable, CSE, and its relation to family roles and job performance.


Author(s):  
Bjarne Schmalbach ◽  
Markus Zenger ◽  
Michalis P. Michaelides ◽  
Karin Schermelleh-Engel ◽  
Andreas Hinz ◽  
...  

Abstract. The common factor model – by far the most widely used model for factor analysis – assumes equal item intercepts across respondents. Due to idiosyncratic ways of understanding and answering items of a questionnaire, this assumption is often violated, leading to an underestimation of model fit. Maydeu-Olivares and Coffman (2006) suggested the introduction of a random intercept into the model to address this concern. The present study applies this method to six established instruments (measuring depression, procrastination, optimism, self-esteem, core self-evaluations, and self-regulation) with ambiguous factor structures, using data from representative general population samples. In testing and comparing three alternative factor models (one-factor model, two-factor model, and one-factor model with a random intercept) and analyzing differential correlational patterns with an external criterion, we empirically demonstrate the random intercept model’s merit, and clarify the factor structure for the above-mentioned questionnaires. In sum, we recommend the random intercept model for cases in which acquiescence is suspected to affect response behavior.


2011 ◽  
Author(s):  
Qiang Wang ◽  
Hai Yan Li ◽  
Nathan A. Bowling
Keyword(s):  

2010 ◽  
Author(s):  
Won Jun Kwak ◽  
Christine Jackson ◽  
Stephen G. Green

2010 ◽  
Author(s):  
Tae-Yeol Kim ◽  
Robert C. Liden ◽  
Lin Bian ◽  
Sang-Pyo Kim
Keyword(s):  

2011 ◽  
Author(s):  
Amber N. Schroeder ◽  
Patrick J. Rosopa
Keyword(s):  

2010 ◽  
Author(s):  
Sarah M. Haynes ◽  
Jane A. Halpert ◽  
Brian J. Marentette ◽  
Micah D. Lueck

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