High School Transcript as a Set of "Nonreactive" Measures for Predicting College Success and Major Field.

Sexton, Dennis W.; Goldman, Roy D.

doi:10.1037/h0078668

Cited by 5 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…High school achievement and aptitude measures were significant contributors to the prediction equation (Houston, 1980;Ancis & Sedlacek, 1997). Additionally, gender differences in courses taken in high school were highly correlated with choices and achievement in college (Sexton & Goldman, 1975). Gender was not associated with academic achievement in graduate courses.…”

mentioning

confidence: 87%

“…Second, college preparation differs by gender. Though females earn higher GPAs in high school, males complete more math and science courses in high school as preparation for college-level work (Sexton & Goldman, 1975). Third, race and gender interact to influence predictive validity.…”

Section: Prediction Of Persistence With Gendermentioning

confidence: 99%

“…Analysis of variance (ANOVA) is rarely used in this field of study. ANOVA is useful for comparing students by major (Fletcher, Halpin, & Halpin, 1999), minority status (Eimers, 2001), or sex (Sexton & Goldman, 1975).…”

Section: Overall Summarymentioning

confidence: 99%

“…Discriminant function analysis, using high school courses as dependent variables, revealed two discriminant functions. Based on the discriminant functions and a plot of the centroids of the ten sex by college cells in two-dimensional discriminant space, Sexton and Goldman (1975) concluded males were more predictable in their college major selection. Females displayed wider variability and less predictability in their high school preparation patterns in relation to college major selected.…”

mentioning

confidence: 99%

See 3 more Smart Citations

The Prediction of College Student Academic Performance and Persistence: The School to College Transition

Taylor¹

2003

PsycEXTRA Dataset

View full text Add to dashboard Cite

~lPublic reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send commeciTs regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Sc-rvices, Directorate tor Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Offrce of Management and Budget, Papcwork Reduction Prc, AUTHOR(S)MAJ TAYLOR HAROLD A FUNDING NUMBERS PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)UNIVERSITY OF LOUISVILLE PERFORMING ORGANIZATION REPORT NUMBERCI02-1226 This dissertation addresses the prediction of college student academic performance and persistence of Jefferson County Public School graduates at the University of Louisville. Using multiple regression and discriminant analysis, the research design assesses the predictive potential of six Commonwealth Accountability Testing System (CATS) scores and five college preparation variables beyond the predictive contribution of control variables established by the literature. The control variables are high school GPA, ACT score, race, sex, and socioeconomic status. The criterion variables are first semester college GPA, first year college GPA, and persistence to the sophomore year. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)THEHigh school GPA and socioeconomic status were statistically significant contributors to each prediction equation. CATS scores accounted for a significant proportion of variance in first year college GPA with control variables already in the equation.This dissertation is divided into five chapters. Chapter I provides an overview of Kentucky's recent education reforms, the purpose of the study, and the three research questions. Chapter II is a review of the literature. The literature includes research on the "Approved for Public Release Distribution Unlimited . This dissertation is divided into five chapters. Chapter I provides an overview of Kentucky's recent education reforms, the purpose of the study, and the three research questions. Chapter II is a review of the literature. The literature includes research on the prediction of college GPA and persistence, prediction relative to nontraditional students, race, and gender, and information supply chain management. Information supply chain management is a business concept informative to this dissertation for its modeling of information flow between educational institutions. Chapter III describes the methodology. Statistical analysis includes descriptive statistics, hierarchical muhiple regression analyses, and discriminant analysis.Chapter IV is a summary of the results. The regression models accounted for 20.1% (p < .01) of the variance in first semester college GPA and 31.4% (/? < .01) of the variance in first year college G...

show abstract

mentioning

confidence: 87%

Section: Prediction Of Persistence With Gendermentioning

confidence: 99%

Section: Overall Summarymentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

The Prediction of College Student Academic Performance and Persistence: The School to College Transition

Taylor¹

2003

PsycEXTRA Dataset

View full text Add to dashboard Cite

show abstract

“…The psychological analysis of planning has focused primarily on motivational and cognitive factors (e.g. Super, 1957Super, , 1973Miller, Galanter, and Pribram, 1960;Gribbons and Lohnes, 1965;Sexton and Goldman, 1975;Schmitt and Reeves, 1975;Janis and Mann, 1977;Hayes-Roth and Hayes-Roth, 1979;Reed, 1981).…”

Section: Introductionmentioning

confidence: 99%

Long-range course planning by college students

Cooper

Fobian

1987

High Educ

View full text Add to dashboard Cite

A group of 633 college students at a large midwestern public university was asked fifteen questions pertaining to personal long-term course planning. The results indicated that only 48% of the students sketched out a tentative listing of at least two courses per term for one or more subsequent semesters when first planning courses for the current semester. Long-range planning was positively correlated with the number of years students had already spent in college and with students' perception of the following factors: course planning utility, degree of certainty about pursuing one's current first choice of career, and degree of commitment in using college coursework as a means of achieving a career goal (all p < 0.001). Long-range planning was negatively correlated with the anticipation of a possible change in academic interests. Such planning was not significantly correlated with students' entrance examination aptitude scores or grade point averages. Thus, students' long-range planning of courses was associated more strongly with career commitment than with recent academic per[brmance or aptitude.

show abstract

An Analysis of Rates of Change in Community Per Capita Income by Discriminant Analysis

Murray

1978

J. Agric. Appl. Econ.

View full text Add to dashboard Cite

Statistical methods for estimation, hypothesis testing, and confidence statements are based typically on exact specification of the response variates. In the applied sciences another kind of multivariate problem is common in which an observation must be assigned in some optimal fashion to one of several populations. Classification rules based on an index called the linear discriminant function provide a method for such assignment.Use of the linear discriminant function is relatively new to regional economics. Previously it has been used in such disciplines as botany to classify a new specimen as belonging to one of several recognized species of a flower, in educational psychology to develop rules for admitting applicants to college programs, in routine banking to aid credit officers in evaluating loan applications, and in agricultural economics to determine producer plans for changes in hog marketings and to identify factors associated with watershed development.

show abstract

High School Transcript as a Set of "Nonreactive" Measures for Predicting College Success and Major Field.

Cited by 5 publications

References 12 publications

The Prediction of College Student Academic Performance and Persistence: The School to College Transition

The Prediction of College Student Academic Performance and Persistence: The School to College Transition

Long-range course planning by college students

An Analysis of Rates of Change in Community Per Capita Income by Discriminant Analysis

Contact Info

Product

Resources

About