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Showing 1 to 15 of 48 results Save | Export
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Papazoglou, Sofia; Mylonas, Kostas – Educational and Psychological Measurement, 2017
The purpose of this study is to compare alternative multidimensional scaling (MDS) methods for constraining the stimuli on the circumference of a circle and on the surface of a sphere. Specifically, the existing MDS-T method for plotting the stimuli on the circumference of a circle is applied, and its extension is proposed for constraining the…
Descriptors: Multidimensional Scaling, Comparative Analysis, Stimuli, Geometric Concepts
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Wang, Qiu; Diemer, Matthew A.; Maier, Kimberly S. – Educational and Psychological Measurement, 2013
This study integrated Bayesian hierarchical modeling and receiver operating characteristic analysis (BROCA) to evaluate how interest strength (IS) and interest differentiation (ID) predicted low–socioeconomic status (SES) youth's interest-major congruence (IMC). Using large-scale Kuder Career Search online-assessment data, this study fit three…
Descriptors: Bayesian Statistics, Socioeconomic Status, Student Interests, Gender Differences
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Dumenci, Levent; Yates, Phillip D. – Educational and Psychological Measurement, 2012
Estimation problems associated with the correlated-trait correlated-method (CTCM) parameterization of a multitrait-multimethod (MTMM) matrix are widely documented: the model often fails to converge; even when convergence is achieved, one or more of the parameter estimates are outside the admissible parameter space. In this study, the authors…
Descriptors: Correlation, Models, Multitrait Multimethod Techniques, Matrices
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Linnenbrink-Garcia, Lisa; Durik, Amanda M.; Conley, AnneMarie M.; Barron, Kenneth E.; Tauer, John M.; Karabenick, Stuart A.; Harackiewicz, Judith M. – Educational and Psychological Measurement, 2010
Three studies were conducted to develop and validate scores on a new measure appropriate for assessing adolescents' situational interest (SI) across various academic settings. In Study 1 (n = 858), a self-report questionnaire was administered to undergraduates in introductory psychology. Confirmatory factor analyses (CFA) supported a three-factor…
Descriptors: Adolescents, Interest Inventories, Student Interests, Context Effect
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Donnellan, M. Brent – Educational and Psychological Measurement, 2008
The properties of the achievement goal inventories developed by Grant and Dweck (2003) and Elliot and McGregor (2001) were evaluated in two studies with a total of 780 participants. A four-factor specification for the Grant and Dweck inventory did not closely replicate results published in their original report. In contrast, the structure of the…
Descriptors: Academic Achievement, Psychometrics, Program Validation, Achievement Rating
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Olejnik, Stephen; Porter, Andrew C. – Educational and Psychological Measurement, 1975
The four scoring strategies compared were: lamda coefficients, chi-square weights, and two applications of multiple discriminant analysis. No significant differences were found when applied to the Kuder Occupational Interest Survey. (RC)
Descriptors: Analysis of Variance, Comparative Analysis, Discriminant Analysis, Interest Inventories
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Johnson, Richard W.; And Others – Educational and Psychological Measurement, 1975
The predictive validity of the old and new men's Pharmacist scales and the new women's Pharmacist scale on the Strong Vocational Interest Blank was investigated for male and female pharmacy students. Each of the three scales significantly differentiated between graduates and nongraduates from the pharmacy program. (Author/BJG)
Descriptors: College Students, Dropouts, Graduates, Higher Education
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Belcastro, Frank P. – Educational and Psychological Measurement, 1975
A multiple regression analysis was performed on all Edwards Personal Preference Schedule (EPPS) and Strong Vocational Interest Blank (SVIB) scales to determine those scales which could be used to predict success in a secondary teacher preparation program for females and males. Significant discriminant function equations were obtained. (Author/BJG)
Descriptors: Age, Grade Point Average, Higher Education, Intelligence Quotient
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Simono, R. B. – Educational and Psychological Measurement, 1978
Previous research indicating that males entering the clergy tend to have "feminine" profiles on psychological tests is challenged. A sample of entering clergy students were administered two personality measures. Results did not support the previous research. (JKS)
Descriptors: Clergy, Females, Femininity, Higher Education
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Morgan, Ronald R. – Educational and Psychological Measurement, 1976
Investigates the importance of using levels of intellectual ability as a control variable in studies of nonintellectual factors in academic achievement and determines the utility of the Edwards Personal Preference Schedule as a supplement to academic aptitude test scores in the prediction of success in college. (Author/DEP)
Descriptors: Academic Achievement, College Students, Grade Point Average, Higher Education
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Highhouse, Scott; Doverspike, Dennis – Educational and Psychological Measurement, 1987
This study investigated the relationship between cognitive style, occupational preference, and learning modes. Kolb's Revised Learning Style Inventory (1985), the Group Embedded Figures Test, and the Vocational Choice Inventory were administered to 111 undergraduate students. (Author/GDC)
Descriptors: Career Choice, Cognitive Style, Cognitive Tests, Construct Validity
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Parker, Randall M.; Green, Donald – Educational and Psychological Measurement, 1987
Scores of 135 community college students on the Occupational Aptitude Survey and Interest Schedule (OASIS) were compared with different academic majors. A series of 18 one-way analyses of variance provided evidence for the construct validity of the OASIS Interest Schedule. (Author/GDC)
Descriptors: Construct Validity, Interest Inventories, Majors (Students), Two Year Colleges
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Munson, J. Michael; McQuarrie, Edward F. – Educational and Psychological Measurement, 1987
A shortened version of Zaichkowsky's 20-item Personal Involvement Inventory was created, removing four items which might be difficult to understand for noncollege-educated populations. The 16-item modified version had acceptable internal consistency; test-retest reliability; and factorial and predictive validity. (Author/GDC)
Descriptors: Factor Structure, Higher Education, Interest Inventories, Personality Measures
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Knapp-Lee, Lisa J.; Michael, William B. – Educational and Psychological Measurement, 1985
Construct validity was demonstrated for sixteen career subclusters through factor analysis of an occupational inventory based on interests in professional level job activities. (Author/LMO)
Descriptors: Careers, Cluster Grouping, Factor Analysis, Factor Structure
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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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