A Study of the Relationship Between Academic Performance and Selected Variables
Author: Peggy Jane Hill
Publisher:
Published: 1990
Total Pages: 116
ISBN-13:
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Author: Peggy Jane Hill
Publisher:
Published: 1990
Total Pages: 116
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DOWNLOAD EBOOKAuthor: Curtis B. Hubert
Publisher:
Published: 1964
Total Pages: 126
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DOWNLOAD EBOOKAuthor: Wayne Gerald Siegel
Publisher:
Published: 1969
Total Pages: 170
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DOWNLOAD EBOOKAuthor: Joseph Marvin May
Publisher:
Published: 1971
Total Pages: 240
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DOWNLOAD EBOOKAuthor: Glen Howard Bennett
Publisher:
Published: 1988
Total Pages: 178
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DOWNLOAD EBOOKAuthor: Bienvenido D. Junasa
Publisher:
Published: 1982
Total Pages: 222
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DOWNLOAD EBOOKAuthor: Mickey T. Trockel
Publisher:
Published: 1998
Total Pages: 60
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DOWNLOAD EBOOKAuthor: M. Elizabeth Flum
Publisher:
Published: 1989
Total Pages: 148
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DOWNLOAD EBOOKAuthor: Mary Elizabeth McClelland
Publisher:
Published: 1969
Total Pages: 186
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DOWNLOAD EBOOKAuthor: Holly L. Breitkreutz
Publisher:
Published: 1980
Total Pages: 102
ISBN-13:
DOWNLOAD EBOOKThe study attempted to determine whether there was a significant relationship between date of application for admission to the University and academic achievement of freshmen at the University of Wisconsin-La Crosse. ACT data were utilized to determine whether early applicants possessed characteristics predictive of academic performance. The research explored whether or not date of application differentially related to grade point average and credit hours completed. It also attempted to ascertain whether earlier appliers for admission to college were higher achievers in high school, more decisive about future goals, and more involved in non-academic activities than later appliers. These variables were then examined in relationship to academic performance. All freshmen entering the University for the 1979-1980 academic year with complete ACT data on file were examined with reference to date of application for admission. The sample was comprised of 1,157 first-time, full-time, 18 year old students. Students were classified as earlier or later applicants based on their date of application to the University. Pearson Product Moment Correlations and Multiple Regression Analyses were applied to determine the relationship between date of application, first year grade point average and credit hours completed, and ACT profile variables. Significant relationships (p.