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Using Hierarchical Multiple Regressi...

Daughtry, Perry N.

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Using Hierarchical Multiple Regression to See if a Balanced Time Perspective Predicts Job Satisfaction when Controlling for Subjective Well-being.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Using Hierarchical Multiple Regression to See if a Balanced Time Perspective Predicts Job Satisfaction when Controlling for Subjective Well-being./
Author:	Daughtry, Perry N.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	167 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.
Contained By:	Dissertation Abstracts International79-08B(E).
Subject:	Occupational psychology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10748203
ISBN:	9780355779714

Using Hierarchical Multiple Regression to See if a Balanced Time Perspective Predicts Job Satisfaction when Controlling for Subjective Well-being.
Daughtry, Perry N.

Using Hierarchical Multiple Regression to See if a Balanced Time Perspective Predicts Job Satisfaction when Controlling for Subjective Well-being. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 167 p.

Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.

Thesis (Ph.D.)--Northcentral University, 2018.

In this study, the researcher explored job satisfaction in terms of time perspective. Business leaders can benefit from a better understanding of the factors that contribute to job satisfaction as job satisfaction is associated with various organizational outcomes. The guiding theoretical perspective for this study comes from the concept of a balanced time perspective. The idea is that a person with a balanced time perspective is more flexible in coping with the temporal demands of life. There is evidence in research involving subjective well-being that a balanced time perspective is important to the development of high levels of happiness and life satisfaction. In addition, the researcher looked at each of the five factors individually as well as combined using multiple regression analysis. College instructors completed the Zimbardo Time Perspective Inventory, the Satisfaction with Live Scale and the Job Description Inventory. Using hierarchical regression, entering subjective well-being in the first step and entering the indicator for balanced time perspective in the second step, balanced time perspective was not found to be predictive of job satisfaction when controlling for subjective well-being. To see if the five factors of the Zimbardo Time Perspective Inventory were predictive of job satisfaction, all five factors were entered using the enter method. The five factors were predictive of job satisfaction. A linear combination of the five indicators of time perspective of the Zimbardo Time Perspective Inventory was predictive of job satisfaction but a balanced time perspective derived from the five factors is not. There was a strong ceiling effect observed in job satisfaction which may have influenced the outcomes. Future researchers should look to populations where there is a greater variance in job satisfaction.

ISBN: 9780355779714Subjects--Topical Terms:

2122852
Occupational psychology.

Using Hierarchical Multiple Regression to See if a Balanced Time Perspective Predicts Job Satisfaction when Controlling for Subjective Well-being.
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