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Nelson, C. Van; Nelson, Jacquelyn S.; Malone, Bobby G. – 2000
In this study, models were constructed for eight academic areas, including applied sciences, communication sciences, education, physical sciences, life sciences, humanities and arts, psychology, and social sciences, to predict whether or not an at-risk graduate student would be successful in obtaining a master's degree. Records were available for…
Descriptors: Academic Achievement, Admission Criteria, Graduate Students, Graduate Study
Cho, Bok Hee; Lee, Jin Sook; Lee, Hong Sook; Ahn, Sun Hee – 1999
This study investigated Koreans' understanding of and agreement with Korean proverbs concerning the parent-child relationship. Ninety-five proverbs were selected from literature and categorized into nine areas: value of a child, affection toward a child, boy-preference, positive or negative affection toward a daughter, importance of a child's…
Descriptors: Attitude Change, Child Rearing, Foreign Countries, Parent Child Relationship
Piesse, Andrea; Rust, Keith – National Center for Education Statistics, 2003
The Progress in International Reading Literacy Study (PIRLS) is a large international comparative study of the reading literacy of young students. The student population for the U.S. 2001 PIRLS (hereafter simply referred to as PIRLS) was the set of all fourth-graders in the United States, corresponding to the grade in which the highest proportion…
Descriptors: Elementary School Students, Comparative Analysis, Predictor Variables, Regression (Statistics)
Peer reviewedMolnar, George E.; Delauretis, Robert J. – Journal of Counseling Psychology, 1973
This study determines the efficiency of a system containing aptitude, achievement, and noncognitive data, and a measure of college performance in predicting the long-range educational-vocational decisions of engineering students. Noncognitive data best predicts between intellectually homogeneous student groupings whereas first-semester grade point…
Descriptors: Academic Achievement, Career Development, College Students, Curriculum Research
Peer reviewedTraub, Ross E.; Hambleton, Ronald K. – Educational and Psychological Measurement, 1973
Descriptors: Grade 8, Guessing (Tests), Multiple Choice Tests, Pacing
Peer reviewedTolle, David L.; And Others – Personnel Psychology, 1972
Results of this study point to the importance of using a differential validity model in industrial validation research not only for aptitude measures, but also for personality and personal history data. (Authors)
Descriptors: Aptitude, Biographical Inventories, Job Applicants, Minority Groups
Peer reviewedWood, Donald A.; Langevin, Michael J. – Journal of Educational Measurement, 1972
Intent of this study was to examine an ability and achievement battery used in college engineering freshmen prediction for possible moderating effects in an attempt to enhance overall prediction. (Authors)
Descriptors: Achievement Rating, Aptitude Tests, College Freshmen, Engineering
Peer reviewedThomas, L. Eugene – Adolescence, 1973
Purpose of this study was to seek some index which would be useful in identifying those members of the current youth cohort who are most likely to have adopted a new set of attitudes and values, so that social scientists might have a useful tool for further study. (Author/CB)
Descriptors: Clothing, College Students, Individual Characteristics, Predictor Variables
Peer reviewedLin, Y.; McKeachie, W. J. – British Journal of Educational Psychology, 1973
Three studies of prediction of academic achievement in introductory psychology courses are reported. The Achiever Personality scale of Fricke's Opinion, Attitude and Interest Survey and Brown and Holtzman's Survey of Study Habits and Attitudes made independent contributions beyond intelligence in the prediction of course grades in two of these…
Descriptors: Academic Achievement, Comparative Analysis, Measurement Instruments, Personality Assessment
Peer reviewedKing, Ethel M.; Friesen, Doris T. – Alberta Journal of Educational Research, 1972
Early readers came from higher socio-economic levels and smaller families, their mothers had more education, they spent more time in sedentary activities, and they received a variety of kinds of help. (Authors)
Descriptors: Early Experience, Early Reading, Family Characteristics, Intelligence Differences
Peer reviewedLoftus, Elizabeth F.; Suppes, Patrick – Journal of Educational Psychology, 1972
Analysis showed that a word problem is difficult to solve if: it is of a different type from the problem that preceded it; its solution requires a large number of different operations; its surface structure is complex; it has a large number of words; or it requires a conversion of units. (Authors)
Descriptors: Computer Assisted Instruction, Difficulty Level, Factor Structure, Grade 6
Peer reviewedSharon, Amiel T. – Educational and Psychological Measurement, 1972
Social Studies was the best predictor in the two-year colleges whereas Literature was the most predictive of success in the four-year colleges. (Author)
Descriptors: College Students, Data Analysis, Equivalency Tests, Grade Point Average
Peer reviewedBorich, Gary D.; Wunderlich, Kenneth W. – Educational and Psychological Measurement, 1973
Descriptors: Analysis of Covariance, Computer Programs, Homogeneous Grouping, Input Output
Peer reviewedFishelson, Gideon – Socio-Economic Planning Sciences, 1972
This study attempts to explain the observed distribution of students among university departments. A general model describing the student's initial choice of department is constructed. The decisions made by a sample of students were then explained by multiple regression analysis, where students' socio-economic characteristics are the explanatory…
Descriptors: Career Choice, Departments, Educational Planning, Majors (Students)
Peer reviewedAyers, Jerry B.; Rohr, Michael E. – Educational and Psychological Measurement, 1972
Study was designed to examine the validity of the Sixteen Personality Factor Questionnaire in predicting achievement of college sophomores majoring in Education. (Authors)
Descriptors: Academic Achievement, College Students, Factor Analysis, Personality Assessment


