Keywords

Employee engagement, job attitudes, performance, behavioral engagement

Abstract

Although the commercially-popular construct of employee engagement has gained attention in scholarly work in recent years, several questions about the construct remain unresolved. In the current paper, I addressed several issues with previous engagement research by (a) meta-analyzing the relationship between employee engagement, task performance, contextual performance, absenteeism, and turnover, (b) using these meta-analytic estimates to fit a series of models in which engagement predicts both specific and broadly-defined work behaviors, and (c) estimating the unique predictive validity of engagement above and beyond job attitudes. Several regression equations and structural equation models were tested using a combination of previous meta-analytic correlations (k = 95) and original meta-analytic correlations (k = 12). Results of the study found that engagement does offer unique incremental validity over several work-related behaviors (task performance, ∆R2 = .037; contextual performance, ∆R2 = .025; turnover, ∆R2 = .083), however this incremental validity has been over-stated in previous research. Results also found that the A-factor (higher order attitudinal construct) is strongly related to behavioral engagement (higher order behavioral construct) (Γ = .62) suggesting that when attitudes and behaviors are examined on the same level of specificity there is a strong predictive relationship between the two. These results suggest that although engagement may not be as unique as previous research has implied it does offer utility in the sense that it acts as a proxy for the A-factor

Notes

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Graduation Date

2013

Semester

Summer

Advisor

Fritzsche, Barbara

Degree

Doctor of Philosophy (Ph.D.)

College

College of Sciences

Department

Psychology

Degree Program

Psychology; Industrial and Organizational

Format

application/pdf

Identifier

CFE0004873

URL

http://purl.fcla.edu/fcla/etd/CFE0004873

Language

English

Release Date

August 2016

Length of Campus-only Access

3 years

Access Status

Doctoral Dissertation (Open Access)

Subjects

Dissertations, Academic -- Sciences, Sciences -- Dissertations, Academic

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