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Gail I. Hudson

Researcher at Arkansas State University

Publications -  15
Citations -  862

Gail I. Hudson is an academic researcher from Arkansas State University. The author has contributed to research in topics: Academic achievement & Business education. The author has an hindex of 10, co-authored 15 publications receiving 788 citations.

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Academic Performance of College Students: Influence of Time Spent Studying and Working

TL;DR: In this paper, the authors examined the effect of both time spent studying and time spent working on academic performance and found that nonability variables like motivation and study time significantly interact with ability to influence academic performance.
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Performance of College Students: Impact of Study Time and Study Habits

TL;DR: Krohn and O'Conner as mentioned in this paper investigated the influence of a third variable, study habits, and found that some study habits had a positive direct relationship on student performance but others had a negative direct relationship.
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Influence of perceived control over time on college students' stress and stress-related outcomes

TL;DR: In this article, the influence of perceived time management (operationalized as perceived control over time) as a stress coping strategy among college students was investigated, and the influence on valued student outcomes such as academic performance, problem-solving ability, and health were also investigated.
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Where Does the Time Go? A Diary Approach to Business and Marketing Students’ Time Use:

TL;DR: In this paper, the authors used a diary approach to explore business and marketing students' time use encompassing all student activities, not just study or work, and found that CCS achieved higher semester and cumulative grade point averages and perceived academic performance than LCS.
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College student's blood donation behavior: relationships to demographics, perceived risk, and incentives.

TL;DR: A study was undertaken to empirically investigate whether the student market could be further segmented into blood donor and nondonor markets based on their demographic characteristics, perceived risks, and influence on non-monetary incentives.