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Predicting Work Engagement: A Quanti...

Bryniak, Krystyna.

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Predicting Work Engagement: A Quantitative Analysis of Entrepreneurial Psychological Capital.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predicting Work Engagement: A Quantitative Analysis of Entrepreneurial Psychological Capital./
Author:	Bryniak, Krystyna.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	237 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-11, Section: A.
Contained By:	Dissertations Abstracts International81-11A.
Subject:	Quantitative psychology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27957215
ISBN:	9798641900452

Predicting Work Engagement: A Quantitative Analysis of Entrepreneurial Psychological Capital.
Bryniak, Krystyna.

Predicting Work Engagement: A Quantitative Analysis of Entrepreneurial Psychological Capital. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 237 p.

Source: Dissertations Abstracts International, Volume: 81-11, Section: A.

Thesis (Ph.D.)--Grand Canyon University, 2020.

This item must not be sold to any third party vendors.

Employee engagement is a major interest for Industrial-Organizational Psychology researchers and practitioners. Prior to this study it remained unknown if, or to what extent the personal resources of hope, efficacy, resilience and optimism also known as psychological capital (PsyCap) could predict work engagement (WE) in a population of U.S. based entrepreneurs. This quantitative, correlational design study with survey data captured the relationship between PsyCap and WE with this population. The PCQ-24 was used to measure the predictor variable (PsyCap) and the UWES-9 was used to measure the criterion variable (WE). The Job Demand-Resource Model provided the theoretical foundation by describing work experiences as being in a continuous flux between positive resources and negative demands in a work environment. Qualtrics was utilized to gather survey data online from a pool of U.S. based entrepreneurs. The data was analyzed in SPSS. A linear regression model showed a statistically strong predictive relationship between PsyCap and WE, F (1, 67) = 52.81, p < .001, and R2 = .441. A multiple regression model demonstrated the subconstruct of hope was on its own a predictor of WE (B = 0.86, t = 3.98, p < .001). However, efficacy (B = 0.27, t = 1.13, p =.264), resilience (B = -.11, t = -0.39, p =.700) and optimism (B = .19, t = 0.89, p =.377) were found not to be predictors of WE. The study presents new empirical data on the relationship PsyCap has on WE.

ISBN: 9798641900452Subjects--Topical Terms:

2144748
Quantitative psychology.
Subjects--Index Terms:

Entrepreneurs

Predicting Work Engagement: A Quantitative Analysis of Entrepreneurial Psychological Capital.
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300 $a 237 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-11, Section: A.
500 $a Advisor: Sherlin, Leslie.
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520 $a Employee engagement is a major interest for Industrial-Organizational Psychology researchers and practitioners. Prior to this study it remained unknown if, or to what extent the personal resources of hope, efficacy, resilience and optimism also known as psychological capital (PsyCap) could predict work engagement (WE) in a population of U.S. based entrepreneurs. This quantitative, correlational design study with survey data captured the relationship between PsyCap and WE with this population. The PCQ-24 was used to measure the predictor variable (PsyCap) and the UWES-9 was used to measure the criterion variable (WE). The Job Demand-Resource Model provided the theoretical foundation by describing work experiences as being in a continuous flux between positive resources and negative demands in a work environment. Qualtrics was utilized to gather survey data online from a pool of U.S. based entrepreneurs. The data was analyzed in SPSS. A linear regression model showed a statistically strong predictive relationship between PsyCap and WE, F (1, 67) = 52.81, p < .001, and R2 = .441. A multiple regression model demonstrated the subconstruct of hope was on its own a predictor of WE (B = 0.86, t = 3.98, p < .001). However, efficacy (B = 0.27, t = 1.13, p =.264), resilience (B = -.11, t = -0.39, p =.700) and optimism (B = .19, t = 0.89, p =.377) were found not to be predictors of WE. The study presents new empirical data on the relationship PsyCap has on WE.
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