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Predicting Academic Major Satisfacti...
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Schenkenfelder, Mary.
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Predicting Academic Major Satisfaction Using Environmental Factors and Self-Determination Theory.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Predicting Academic Major Satisfaction Using Environmental Factors and Self-Determination Theory./
Author:
Schenkenfelder, Mary.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:
98 p.
Notes:
Source: Masters Abstracts International, Volume: 56-05.
Contained By:
Masters Abstracts International56-05(E).
Subject:
Counseling Psychology. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10271005
ISBN:
9781369884265
Predicting Academic Major Satisfaction Using Environmental Factors and Self-Determination Theory.
Schenkenfelder, Mary.
Predicting Academic Major Satisfaction Using Environmental Factors and Self-Determination Theory.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 98 p.
Source: Masters Abstracts International, Volume: 56-05.
Thesis (M.S.)--Iowa State University, 2017.
Environmental factors (faculty integration and student integration) and self-determination theory factors (perceived autonomy, perceived competence, and perceived relatedness) were used to predict academic major satisfaction. It was hypothesized that environmental factors and self-determination factors would directly predict major satisfaction. In line with this, it was predicted that a path model which included environmental factors would prove to be a better fit than a model that did not. It was also predicted that environmental factors would directly predict self-determination factors, and that self-determination factors would mediate the relation between environmental factors and major satisfaction. Path analysis was used to test the hypotheses. In a sample of 332 college students, it was found that environmental factors did not directly predict major satisfaction, and a path model which included environmental factors was not a better fit. Environmental factors did indirectly predict major satisfaction, with self-determination factors as a mediator. Self-determination factors were directly predicted by environmental factors, and did directly predict major satisfaction. Implications, limitations, and future directions are discussed. Keywords: academic major satisfaction, perceived autonomy, perceived competence, perceived relatedness, perceived autonomy, faculty integration, student integration.
ISBN: 9781369884265Subjects--Topical Terms:
2122842
Counseling Psychology.
Predicting Academic Major Satisfaction Using Environmental Factors and Self-Determination Theory.
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Environmental factors (faculty integration and student integration) and self-determination theory factors (perceived autonomy, perceived competence, and perceived relatedness) were used to predict academic major satisfaction. It was hypothesized that environmental factors and self-determination factors would directly predict major satisfaction. In line with this, it was predicted that a path model which included environmental factors would prove to be a better fit than a model that did not. It was also predicted that environmental factors would directly predict self-determination factors, and that self-determination factors would mediate the relation between environmental factors and major satisfaction. Path analysis was used to test the hypotheses. In a sample of 332 college students, it was found that environmental factors did not directly predict major satisfaction, and a path model which included environmental factors was not a better fit. Environmental factors did indirectly predict major satisfaction, with self-determination factors as a mediator. Self-determination factors were directly predicted by environmental factors, and did directly predict major satisfaction. Implications, limitations, and future directions are discussed. Keywords: academic major satisfaction, perceived autonomy, perceived competence, perceived relatedness, perceived autonomy, faculty integration, student integration.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10271005
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