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Peer reviewedSchau, Candace Garrett; Heyward, Vivian H. – American Educational Research Journal, 1987
Stepwise multiple regression was used to develop salary prediction equations, one from each of two faculty samples used most frequently used in this type of research. An analysis of the model found that on average women were paid significantly less than men. (RB)
Descriptors: College Faculty, Models, Multiple Regression Analysis, Predictive Measurement
Peer reviewedAvery, Lillian Markos – Journal of Vocational Behavior, 1986
Describes the interest and concern of the membership of the Personnel Testing Council of Southern California in what may be the most critical issue in personnel testing today--the implications of using or not using g-loaded tests. Describes the events that led to the scheduling of a major conference on the g factor. Also describes audience…
Descriptors: Ability, Factor Analysis, Intelligence, Occupational Tests
Peer reviewedYergan, John; And Others – Journal of Medical Education, 1988
A study to develop an easy-to-use prediction rule that would identify students at risk for failing the National Board of Medical Examiners Part I examination is reported. The predictors were limited to the students' academic performance in medical school. (MLW)
Descriptors: Courses, Grades (Scholastic), Higher Education, Licensing Examinations (Professions)
Peer reviewedEmbretson, Susan E. – Intelligence, 1987
Three studies of dynamic testing of spatial aptitude were performed with training on the physical analogue of the mental task between the pre-test and the post-test. A total of 129 college students participated. Training increased spatial ability. Other experiments indicated that construct validity was influenced by dynamic testing. (SLD)
Descriptors: Aptitude Tests, College Students, Construct Validity, Performance Tests
Peer reviewedMilner, Joel S.; And Others – Journal of Consulting and Clinical Psychology, 1986
To provide cross-validation data for the Child Abuse Potential Inventory, classification rates were determined for 220 physical child abusers and matched control subjects. Using all protocols, a discriminant analysis indicated the Abuse scale correctly classified 85.4% of the subjects, with 82.7% of the abusers and 88.2% of the control subjects…
Descriptors: Child Abuse, Classification, High Risk Persons, Identification
Peer reviewedFlannery, Raymond B., Jr. – Journal of Clinical Psychology, 1986
Hypothesized that both major life events and daily hassles would be associated with anxiety and depression symptomatology. While the results partially support the hypothesis, the inconsistent findings suggest methodological flaws in each life stress measure. Reviews these limitations and presents the use of the semi-structured interview as one…
Descriptors: Anxiety, Coping, Depression (Psychology), Health
Peer reviewedNeuman, Shoshana; Ziderman, Adrian – Journal of Human Resources, 1986
Utilizing individual data drawn from the Israel labor mobility survey and assigning workers to primary and secondary sectors on the basis of occupational prestige scores, earnings functions are estimated and compared for the two sectors. Results strongly suggest that the dual labor market hypothesis may be relevant for Israel. (Author/CT)
Descriptors: Data Analysis, Income, Labor Market, Models
Johanson, Roger P.; Vopava, Judy R. – Journal of College Student Personnel, 1985
Developed and validated an instrument to assess high school students' attitudes toward college. Used the instrument to examine college attendance plans in a sample of disadvantaged students in two experiments. Results showed that students' attitudes toward college, as measured by the instrument, were manipulatable. (Author/BH)
Descriptors: College Attendance, Economically Disadvantaged, High School Students, Predictive Measurement
Peer reviewedFrazier, Robert – Action in Teacher Education, 1984
Trends noted in four literary works discussing the future are discussed. Works include (1) "The People Puzzle" (Morris Massey); (2) "Megatrends" (John Naisbitt); (3) "The Third Wave" (Alvin Toffler); and (4) "A Vision" (William B. Yeats). (CJB)
Descriptors: Cultural Pluralism, Educational Trends, Futures (of Society), Predictive Measurement
Peer reviewedGati, Itamar – Journal of Vocational Behavior, 1984
Examined the structure of occupations based on judgments of similarity, compared this structure with those derived from subjects' (N=26) responses to interest inventories, and compared the circular and hierarchical models. Results indicated that a combination of the circular and hierarchical models is preferable to either model alone. (LLL)
Descriptors: College Students, Foreign Countries, Higher Education, Models
Peer reviewedPerry, Ronald F.; Rumpf, David L. – Research in Higher Education, 1984
The collection and analysis of survey data directed toward eliciting those characteristics of the institution, applicant, and applicant's family which affect the matriculation decision are reported. Ways in which the results may influence recruiting activities so that limited resources may yield more matriculants are provided. (Author/MLW)
Descriptors: College Admission, College Applicants, Discriminant Analysis, Higher Education
Occupational Outlook Quarterly, 1984
Describes the methods used by the Bureau of Labor Statistics to make occupational and economic projections and presents highlights of the forecast for 1995. (SK)
Descriptors: Business Cycles, Economic Factors, Employment Patterns, Employment Projections
Peer reviewedRand, Per – Scandinavian Journal of Educational Research, 1973
In this paper an effort is made to seek within John W. Atkinson's own thinking on achievement motivation a more parsimonious explanation of the assumed curvilinearity between motive strength and performance. (Author/RK)
Descriptors: Academic Achievement, Elementary School Students, Interaction, Models
Van Druff, John C. – MATYC Journal, 1974
Descriptors: Achievement, Calculus, College Mathematics, Grade Prediction
Peer reviewedHenderson, Norman B.; And Others – Journal of Educational Psychology, 1973
Descriptors: Black Youth, Elementary School Students, Intelligence Tests, Predictive Measurement


