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Showing 1 to 15 of 20 results Save | Export
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Gökçearslan, Sahin; Karademir, Tugra; Korucu, Agah Tugrul – Journal of Educational Computing Research, 2017
Technological Pedagogical Content Knowledge, one of the frameworks proposed in order to popularize the use of technology in a classroom environment, has been customized and has taken the form of Web Pedagogical Content Knowledge. The Relational Screening Model was used in this study. It aims to determine whether a profile of preservice teachers…
Descriptors: Foreign Countries, Preservice Teachers, Knowledge Level, Pedagogical Content Knowledge
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Goldstein, Susan B. – Frontiers: The Interdisciplinary Journal of Study Abroad, 2015
Since the early 1960s, there has been a steady increase in the number of students enrolled in institutions of higher education outside of their home countries. This study contributes to the information available to study abroad professionals seeking to guide students in selecting programs that are best suited to their individual characteristics…
Descriptors: Study Abroad, Predictor Variables, Preferences, Models
Lin, Jien-Jou – ProQuest LLC, 2013
Every year a group of graduates from high schools enter the engineering programs across this country with remarkable academic record. However, as reported in numerous studies, the number of students switching out of engineering majors continues to be an important issue. Previous studies have suggested various factors as predictors for student…
Descriptors: Success, Prediction, Predictive Measurement, Predictive Validity
Smith, Regina E. – ProQuest LLC, 2012
This study examined the relationships between concept of word development and other early literacy measures (rhyme awareness, beginning sound awareness, alphabet knowledge, letter sound knowledge, spelling, and word recognition in isolation) using data from the PALS-K. Supporting previous research by using a much larger data set than had been used…
Descriptors: Kindergarten, Correlation, Word Recognition, Emergent Literacy
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Traverso, Joaquin; Roman, Marisa; Gonzalez, Rosario – Higher Education Review, 2012
Obtaining competitive advantage has become a recurrent necessity, in successful organisational management. Nowadays, intangibles represent an excellent opportunity to attain these advantages. Given its social impact, the organisational image is one of the most important intangibles to work with. In this research, a model based on the determination…
Descriptors: Stakeholders, Change Strategies, Strategic Planning, Institutional Advancement
Roark, Deborah Jo – ProQuest LLC, 2013
This research study was specifically designed to examine the relationship of a learning communities program, as a standard treatment effect, on the academic performance and retention of college freshmen during the Fall 2008 through Fall 2011 academic semesters, and specifically for a university comprised of higher levels of underrepresented…
Descriptors: College Freshmen, Student Participation, Communities of Practice, Academic Achievement
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Lampropoulos, Georgios K.; Schneider, Mercedes K.; Spengler, Paul M. – Journal of Counseling & Development, 2009
Despite the existence of counseling dropout research, there are limited predictive data for counseling in training clinics. Potential predictor variables were investigated in this archival study of 380 client files in a university counseling training clinic. Multinomial logistic regression, predictive discriminant analysis, and classification and…
Descriptors: Dropout Research, Dropouts, Predictor Variables, Discriminant Analysis
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Remus, William; Isa, Debra – College Student Journal, 1983
Illustrates the use of discriminant analysis to identify the background factors among accepted applicants that best predict actual attendance. An illustration for MBA programs at the University of Hawaii showed the applicant's residence and tuition status were the best predictors. (JAC)
Descriptors: College Applicants, College Attendance, Discriminant Analysis, Enrollment Influences
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Finch, W. Holmes; Schneider, Mercedes K. – Educational and Psychological Measurement, 2006
This study compares the classification accuracy of linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), logistic regression (LR), and classification and regression trees (CART) under a variety of data conditions. Past research has generally found comparable performance of LDA and LR, with relatively less research on QDA and…
Descriptors: Classification, Sample Size, Effect Size, Discriminant Analysis
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Bruno, James E.; Nelken, Ira – Educational Administration Quarterly, 1975
Examines the propensity of teachers to strike and, using a logit model, how this propensity can be affected by certain decision variables, notably a teacher's political leaning, sex, cynicism, moonlighting, colleague orientation, orientation to the public, age, teaching load, total family income, morale, and attitude toward peer evaluation.…
Descriptors: Discriminant Analysis, Elementary Secondary Education, Models, Multiple Regression Analysis
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Eder, Sheila; And Others – Evaluation and Program Planning: An International Journal, 1985
An alternative approach for program evaluation of small, specialized programs when comparison groups are not available is described. This application is illustrated by presenting the results of an analysis of data from Project Talent, a national manpower study, and discussing its application to the evaluation of a medical training program.…
Descriptors: Comparative Analysis, Control Groups, Discriminant Analysis, Higher Education
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Stark, Joan S.; And Others – Journal of Experimental Education, 1985
This study examined career teachers' allocation of extra work time within a conceptual framework influencing time use. Distinct groups prefering instructional tasks; student, or parent, counseling; or committee activities were identifiable in a prediction model. Teachers selected professional time uses congruent with their perceived skills and…
Descriptors: Discriminant Analysis, Elementary Secondary Education, Models, Predictive Validity
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Mulvaney, John Philip – Library Quarterly, 1992
Describes a study that examined quantifiable characteristics of library schools to construct a model that predicts a judgment of perceived quality of library schools. Two perception studies conducted by Herbert White are discussed, statistical methods used are explained, and recommendations for further research are given. (34 references) (LRW)
Descriptors: Correlation, Discriminant Analysis, Higher Education, Institutional Characteristics
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Hutchison, Jerry E.; Johnson, A.E., Jr. – NASPA Journal, 1980
Multiple discriminant analysis is an effective research tool to approach the problem of student attrition. Using this method, the small, liberal arts college can more accurately identify students who are likely to persist. Academic achievement and nonacademic variables are coupled to enhance the power of discriminant analysis. (RC)
Descriptors: Academic Achievement, Academic Persistence, College Students, Discriminant Analysis
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Fadem, Barbara H.; And Others – Journal of Medical Education, 1984
A discriminant analysis of objective and subjective measures from the records of students who graduated from the University of Medicine and Dentistry of New Jersey-New Jersey Medical School over a six-year period was used to generate a model for the prediction of medical specialty choice. (Author/MLW)
Descriptors: Career Choice, Discriminant Analysis, Graduates, Higher Education
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