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Perceived Connectivity, Perceived Internal Locus of Control, and Age as Predictors of Persistence in Online Master's Degree Programs.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Perceived Connectivity, Perceived Internal Locus of Control, and Age as Predictors of Persistence in Online Master's Degree Programs./
Author:	Burnside, Michelle A.
Description:	1 online resource (118 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-07, Section: A.
Contained By:	Dissertations Abstracts International85-07A.
Subject:	Psychology. -
Online resource:	click for full text (PQDT)
ISBN:	9798381387308

Perceived Connectivity, Perceived Internal Locus of Control, and Age as Predictors of Persistence in Online Master's Degree Programs.
Burnside, Michelle A.

Perceived Connectivity, Perceived Internal Locus of Control, and Age as Predictors of Persistence in Online Master's Degree Programs. - 1 online resource (118 pages)

Source: Dissertations Abstracts International, Volume: 85-07, Section: A.

Thesis (Ph.D.)--Walden University, 2024.

Includes bibliographical references

Persistence in distance learning has become problematic. This quantitative nonexperimental study examined whether perceived connectivity, perceived internal locus of control, and age predict persistence in online master's degree programs. Rotter's locus of control theory, Moore's transactional distance theory, and Rovai's composite persistence model provided the theoretical and conceptual frameworks. A sample of 68 participants completed a survey comprised of the Online Student Connectedness Survey, the Internal Control Index, the Grit Scale, and demographic questions. The findings of the multiple linear regression indicated that the predictor variables, connectivity, internal locus of control, and age, had a statistically significant relationship with the criterion variable, persistence. The R square value indicated that 27.9% of the variability in the criterion variable was explained by the combination of the predictor variables. The effect size for the regression model, the adjusted R square value, indicated that 24.5% of the variability of the criterion variable was explained by the combination of the three predictor variables. The findings of the Independent Samples t-Test indicated that the means varied for the three predictor variables between the two completed education levels, bachelor's degree, and master's degree, respectively. Persisting until completion of an advanced online degree program benefits learners and postsecondary institutions, as well as society. Advanced online degree completion promotes positive social change. It enhances the employment prospects of individuals from diverse backgrounds. Moreover, individuals who complete their advanced online degree programs gain the requisite knowledge and skills needed to improve conditions within their communities.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798381387308Subjects--Topical Terms:

555998
Psychology.
Subjects--Index Terms:

ConnectivityIndex Terms--Genre/Form:

554714
Electronic books.

Perceived Connectivity, Perceived Internal Locus of Control, and Age as Predictors of Persistence in Online Master's Degree Programs.
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520 $a Persistence in distance learning has become problematic. This quantitative nonexperimental study examined whether perceived connectivity, perceived internal locus of control, and age predict persistence in online master's degree programs. Rotter's locus of control theory, Moore's transactional distance theory, and Rovai's composite persistence model provided the theoretical and conceptual frameworks. A sample of 68 participants completed a survey comprised of the Online Student Connectedness Survey, the Internal Control Index, the Grit Scale, and demographic questions. The findings of the multiple linear regression indicated that the predictor variables, connectivity, internal locus of control, and age, had a statistically significant relationship with the criterion variable, persistence. The R square value indicated that 27.9% of the variability in the criterion variable was explained by the combination of the predictor variables. The effect size for the regression model, the adjusted R square value, indicated that 24.5% of the variability of the criterion variable was explained by the combination of the three predictor variables. The findings of the Independent Samples t-Test indicated that the means varied for the three predictor variables between the two completed education levels, bachelor's degree, and master's degree, respectively. Persisting until completion of an advanced online degree program benefits learners and postsecondary institutions, as well as society. Advanced online degree completion promotes positive social change. It enhances the employment prospects of individuals from diverse backgrounds. Moreover, individuals who complete their advanced online degree programs gain the requisite knowledge and skills needed to improve conditions within their communities.
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