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Showing 1 to 15 of 19 results Save | Export
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Chodzinski, Raymond T.; Randhawa, Bikkar S. – Educational and Psychological Measurement, 1983
This study investigated the factor structure of the 10 subtests of the Career Maturity Inventory (CMI). Although two principal factors emerged, the CMI Competence and Attitude subtests did not load distinctly on the two separate factors. Results also tended to indicate that the discriminant validity of the CMI may be minimal. (PN)
Descriptors: Age Differences, Factor Structure, High Schools, Intelligence Differences
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Woodfin, Mary Jo – Educational and Psychological Measurement, 1972
Initial standing in language, reading, intelligence, socioeconomic status, and sex differences did not predict writing ability of third grade children any more accurately for structured than for nonstructured teaching methods, although children who did not spell or read as well as others were able to produce more volume in their writing when…
Descriptors: Intelligence Differences, Intermode Differences, Predictor Variables, Sex Differences
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Wolf, Thomas M.; And Others – Educational and Psychological Measurement, 1982
A factor analysis of the Children's Nowicki-Strickland Locus of Control Scale was conducted with a biracial sample of children over a wide age range. Three factors (personal control and helplessness, achievement and friendship, and luck) had sufficient item loadings to be interpretable. (Author/GK)
Descriptors: Age Differences, Elementary Secondary Education, Factor Structure, Locus of Control
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Zbaracki, Jacqueline U.; And Others – Educational and Psychological Measurement, 1985
The 121-item Children's Interest Inventory was administered to 517 children in grades four through six. Teachers also rated each child's scholastic, social, and creative ability. Factor analysis revealed nine boys' factors and eight girls'. Interests were not related to ability ratings, somewhat related to grade, and highly related to gender.…
Descriptors: Age Differences, Childhood Interests, Elementary School Students, Factor Structure
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Payne, David A.; And Others – Educational and Psychological Measurement, 1971
Descriptors: Graduate Study, Predictive Measurement, Predictor Variables, Sex Differences
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Covert, Robert W.; Chansky, Norman M. – Educational and Psychological Measurement, 1975
Correlation coefficients between graduate grade point average and each of three predictor variables, consisting of Graduate Record Examinations-Verbal score, Graduate Record Examination-Quantitative score, and undergraduate grade point average, were calculated for each of the six subgroups. Results showed differential predictability across the…
Descriptors: Achievement Tests, Grade Point Average, Graduate Students, Higher Education
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Ignatz, Milton – Educational and Psychological Measurement, 1982
This study set out to determine the relationship of each of 12 selected cognitive factors to physics achievement at the high school level. Multiple regression analysis indicated that the most promising predictors for boys were divergent production measures; convergent production for the girls. (Author/GK)
Descriptors: Academic Achievement, High Schools, Models, Physics
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Li, Andrew; Bagger, Jessica – Educational and Psychological Measurement, 2007
The Balanced Inventory of Desirable Responding (BIDR) is one of the most widely used social desirability scales. The authors conducted a reliability generalization study to examine the typical reliability coefficients of BIDR scores and explored factors that explained the variability of reliability estimates across studies. The results indicated…
Descriptors: Reliability, Generalization, Social Desirability, Scores
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Omizo, Michael M.; And Others – Educational and Psychological Measurement, 1981
Two purposes of this study were to determine the relationship between scores on five scales of the Dimensions of Self-Concept (DOSC) and academic success, and to ascertain the differential validity of the DOSC scales in comparing Mexican-American junior high school males and females. (Author/GK)
Descriptors: Academic Achievement, Grade 7, Junior High Schools, Mexican Americans
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Corlett, Donna – Educational and Psychological Measurement, 1974
Descriptors: Academic Achievement, Attitudes, College Freshmen, Higher Education
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Larson, James R., Jr.; Scontrino, M. Peter – Educational and Psychological Measurement, 1976
This study examines the validity of high school grade point average (GPA) and of the verbal and mathematical portions of the Scholastic Aptitude Test of the College Entrance Examination Board, as predictors of college performance over an eight year period. (Author/DEP)
Descriptors: College Entrance Examinations, Grade Point Average, Higher Education, Longitudinal Studies
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Ayers, 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
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DeBoer, George E. – Educational and Psychological Measurement, 1981
A path analytic model is hypothesized and tested to explain the effect of a series of intellective and nonintellective student attributes on high school achievement and college achievement. Patterns of predictability for male and female students are compared. (Author/GK)
Descriptors: Academic Achievement, Academic Aptitude, Higher Education, Hypothesis Testing
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Pines, Sylvia F. – Educational and Psychological Measurement, 1981
This study was designed to identify those females who are predicted to fall substantially below their male counterparts in mathematical participation and performance (female potential underachievers) and who are most in need of intervention procedures early in their college career. (Author/CE)
Descriptors: College Mathematics, Females, Higher Education, Mathematics Achievement
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Neely, Margery A.; Johnson, Craig W. – Educational and Psychological Measurement, 1981
An examination of the performance of Grade 10 boys and girls on six Career Development Inventory subscales (dependent variables) through use of a three-way multivariate analysis of variance (MANOVA) on sex, father's education, and father's occupation (independent or classificatory variables) is presented. (Author/AL)
Descriptors: Academic Achievement, Correlation, Employment Level, Fathers
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