Meta-Analytic Investigation Into The Predictors Of Expatriate Job Performance

2006 ◽  
Author(s):  
Marise Ph. Born ◽  
Stefan T. Mol
Keyword(s):  
Job Performance ◽  
Analytic Investigation

A Meta-Analytic Investigation of the Relationship Between State Affect, Discrete Emotions, and Job Performance

2012 ◽  
Vol 25 (5) ◽  
pp. 377-411 ◽  
Author(s):  
Kristen M. Shockley ◽  
Dan Ispas ◽  
Michael E. Rossi ◽  
Edward L. Levine
Keyword(s):  
Job Performance ◽  
Discrete Emotions ◽  
Analytic Investigation ◽  
State Affect ◽  
The Relationship

On the role of positive and negative affectivity in job performance: A meta-analytic investigation.

2009 ◽  
Vol 94 (1) ◽  
pp. 162-176 ◽  
Author(s):  
Seth Kaplan ◽  
Jill C. Bradley ◽  
Joseph N. Luchman ◽  
Douglas Haynes
Keyword(s):  
Job Performance ◽  
Negative Affectivity ◽  
Analytic Investigation ◽  
Positive And Negative Affectivity

Why does self-reported emotional intelligence predict job performance? A meta-analytic investigation of mixed EI.

2015 ◽  
Vol 100 (2) ◽  
pp. 298-342 ◽  
Author(s):  
Dana L. Joseph ◽  
Jing Jin ◽  
Daniel A. Newman ◽  
Ernest H. O'Boyle
Keyword(s):  
Emotional Intelligence ◽  
Job Performance ◽  
Analytic Investigation

Clinical Update: Functional Capacity Evaluations—An Update

1999 ◽  
Vol 4 (5) ◽  
pp. 4-7 ◽  
Author(s):  
Laura Welch
Keyword(s):  
Job Performance ◽  
Functional Capacity ◽  
Injury Risk ◽  
Disability Evaluation ◽  
Time Period ◽  
Submaximal Effort ◽  
Lack Of Sleep ◽  
Overall Performance ◽  
Time Required ◽  
Specific Limitation

Abstract Functional capacity evaluations (FCEs) have become an important component of disability evaluation during the past 10 years to assess an individual's ability to perform the essential or specific functions of a job, both preplacement and during rehabilitation. Evaluating both job performance and physical ability is a complex assessment, and some practitioners are not yet certain that an FCE can achieve these goals. An FCE is useful only if it predicts job performance, and factors that should be assessed include overall performance; consistency of performance across similar areas of the FCE; consistency between observed behaviors during the FCE and limitations or abilities reported by the worker; objective changes (eg, blood pressure and pulse) that are appropriate relative to performance; external factors (illness, lack of sleep, or medication); and a coefficient of variation that can be measured and assessed. FCEs can identify specific movement patterns or weaknesses; measure improvement during rehabilitation; identify a specific limitation that is amenable to accommodation; and identify a worker who appears to be providing a submaximal effort. FCEs are less reliable at predicting injury risk; they cannot tell us much about endurance over a time period longer than the time required for the FCE; and the FCE may measure simple muscular functions when the job requires more complex ones.

Daily Fluctuations in Work Engagement

2014 ◽  
Vol 19 (4) ◽  
pp. 227-236 ◽  
Author(s):  
Arnold B. Bakker
Keyword(s):  
Job Performance ◽  
Work Engagement ◽  
Research Evidence ◽  
Organizational Outcomes ◽  
Reciprocal Relationship ◽  
Proactive Behavior ◽  
Negative Events ◽  
Daily Work ◽  
Work Pressure ◽  
Diary Research

This article presents an overview of the literature on daily fluctuations in work engagement. Daily work engagement is a state of vigor, dedication, and absorption that is predictive of important organizational outcomes, including job performance. After briefly discussing enduring work engagement, the advantages of diary research are discussed, as well as the concept and measurement of daily work engagement. The research evidence shows that fluctuations in work engagement are a function of the changes in daily job and personal resources. Particularly on the days that employees have access to many resources, they are able to cope well with their daily job demands (e.g., work pressure, negative events), and likely interpret these demands as challenges. Furthermore, the literature review shows that on the days employees have sufficient levels of job control, they proactively try to optimize their work environment in order to stay engaged. This proactive behavior is called job crafting and predicts momentary and daily work engagement. An important additional finding is that daily engagement has a reciprocal relationship with daily recovery. On the days employees recover well, they feel more engaged; and engagement during the day is predictive of subsequent recovery. Finding the daily balance between engagement while at work and detachment while at home seems the key to enduring work engagement.

A Meta-Analytic Investigation of the Relationship Between Scale-Item Length, Label Format, and Reliability

Methodology ◽  
2016 ◽  
Vol 12 (3) ◽  
pp. 89-96 ◽  
Author(s):  
Tyler Hamby ◽  
Robert A. Peterson
Keyword(s):  
Item Response ◽  
Big Five ◽  
Rating Scales ◽  
Category Label ◽  
Response Category ◽  
Analytic Investigation ◽  
Scale Item ◽  
Item Characteristics ◽  
The Relationship ◽  
Reliability Coefficients

Abstract. Using two meta-analytic datasets, we investigated the effect that two scale-item characteristics – number of item response categories and item response-category label format – have on the reliability of multi-item rating scales. The first dataset contained 289 reliability coefficients harvested from 100 samples that measured Big Five traits. The second dataset contained 2,524 reliability coefficients harvested from 381 samples that measured a wide variety of constructs in psychology, marketing, management, and education. We performed moderator analyses on the two datasets with the two item characteristics and their interaction. As expected, as the number of item response categories increased, so did reliability, but more importantly, there was a significant interaction between the number of item response categories and item response-category label format. Increasing the number of response categories increased reliabilities for scale-items with all response categories labeled more so than for other item response-category label formats. We explain that the interaction may be due to both statistical and psychological factors. The present results help to explain why findings on the relationships between the two scale-item characteristics and reliability have been mixed.

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