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Tartaglia, Stefano – Journal of Community Psychology, 2006
Although Sense of Community (SOC) is usually defined as a multidimensional construct, most SOC scales are unidimensional. To reduce the split between theory and empirical research, the present work identifies a multifactor structure for the Italian Sense of Community Scale (ISCS) that has already been validated as a unitary index of SOC. This…
Descriptors: Psychological Patterns, Community, Relationship, Affective Measures
Dudczak, Craig A.; And Others – 1992
A study assessed the predictive validity of two substantially different instruments (a questionnaire or a philosophy statement) which may be used to predict critics' ballot behavior in Cross Examination Debate Association (CEDA) debate. Questionnaires were distributed to 29 debate tournaments across the United States for completion by critics…
Descriptors: Comparative Analysis, Debate, Evaluation Methods, Higher Education
Hughey, Jim D. – 1984
Four studies were conducted to investigate the relationship between communication and predictive accuracy. Subjects, students enrolled in various college speech and communication classes, completed the Allport-Vernon-Lindzey Study of Values, first in terms of their own values and then in terms of how they believed a specified target would respond.…
Descriptors: Behavior Patterns, College Students, Communication Research, Higher Education
Khan, Sar B. – Journal of College Student Personnel, 1974
Correlations between predicted averages and actual grades in four universities were compared with those based on current data. A loss on the average of .10 occured in the accuracy of the correlation. The author recommends that prediction studies should not be done every year but on an as-needed basis. (Author)
Descriptors: Criterion Referenced Tests, Grade Prediction, Measurement Techniques, Predictive Validity
Prediger, Dale J. – 1976
Two approaches to interest inventory validation are considered. The choice between the two depends on the use being validated. The first approach assumes that interest inventories are to be used in predicting which occupations counselees will enter or prefer. The second assumes that interest inventories are to used in suggesting occupations for…
Descriptors: Career Guidance, Evaluation Criteria, Group Membership, Interest Inventories
Pugh, Richard C.; And Others – 1969
The purpose of this study was to determine the relative effectiveness of the College Entrance Examination Board (CEEB) Mathematics Achievement Test, Level I, as an instrument for placing students in beginning college mathematics courses. For this purppse it was compared with several other variables as predictors of success in the specific courses;…
Descriptors: Achievement, College Mathematics, Predictive Measurement, Predictive Validity
Ayers, Jerry B. – 1973
The purpose of this study involving predicting academic success in a teacher education program was to determine the relationship among the following factors; scores on the Mooney Problem Checklist (MPC), Kuder Preference Record Vocational (KPSV), Survey of Study Habits and Attitudes (SSHA), American College Test (ACT), and National Teacher…
Descriptors: Academic Achievement, Predictive Measurement, Predictive Validity, Predictor Variables
Peer reviewedMorgan, Robert G.; And Others – Journal of Education for Business, 1985
A study was conducted to find some quantitative predictors of student success in Intermediate Accounting I that an advisor can use as an aid in student counseling. The AICPA Level I Form C test and the average grade in principles courses proved to be reasonable predictors of success. (CT)
Descriptors: Academic Achievement, Accounting, Counseling Techniques, Higher Education
Peer reviewedLinn, Robert L. – Journal of Educational Measurement, 1984
The common approach to studies of predictive bias is analyzed within the context of a conceptual model in which predictors and criterion measures are viewed as fallible indicators of idealized qualifications. (Author/PN)
Descriptors: Certification, Models, Predictive Measurement, Predictive Validity
Moderator Subgroups for the Estimation of Educational Performance: A Comparison of Prediction Models
Peer reviewedLissitz, Robert W.; Schoenfeldt, Lyle F. – American Educational Research Journal, 1974
The purpose of this study was to compare five predictor models, including two least-square procedures, two probability weighting (semi-Bayesian) methods, and a Bayesian model developed by Lindley. (See also TM 501 088, TM 501 089, and TM 501 090) (Author/NE)
Descriptors: Bayesian Statistics, College Freshmen, Models, Multiple Regression Analysis
Peer reviewedGross, Alan L. – Psychometrika, 1973
Expressions for the expected value, density, and distribution function (DF) of GS (gain from selection) are derived and studied in terms of sample size, number of predictors, and the prior distribution assigned to the population multiple correlation. (Author/RK)
Descriptors: Academic Achievement, College Admission, Item Sampling, Predictive Measurement
Peer reviewedConger, Anthony J.; Jackson, Douglas N. – Educational and Psychological Measurement, 1972
Paper discusses the nature of the suppressor variable, constraints upon the degree of gain in predictability by the addition of a suppressor, and the distinct aims of prediction and of construct measurement. (Authors/MB)
Descriptors: Correlation, Definitions, Prediction, Predictive Validity
Miller, Wilma H. – Illinois School Research, 1972
To individualize instruction in reading, a system of diagnostic measures must be used to establish needs areas. Author examines a number of such measures and proposes subsequent study culminating in a Predictive Index. (Editor/MB)
Descriptors: Diagnostic Tests, Evaluation, Grade 1, Measurement Instruments
Halinski, Ronald S.; Feldt, Leonard S. – J Educ Meas, 1970
Four commonly employed procedures were repeatedly applied to computer-simulated samples to provide comparative data pertaining to two questions: (a) which procedure can be expected to produce and equation that yields the most accurate predictions for the population, and (b) which procedure is most likely to identify the optimal set of independent…
Descriptors: Correlation, Multiple Regression Analysis, Prediction, Predictive Measurement
Peer reviewedBelka, David E. – Perceptual and Motor Skills, 1981
Multiple regression equations were generated to predict cognitive achievement for 40 children (ages 57 to 68 months) one year after administration of a battery of six perceptual and perceptual-motor tests to determine if previous results from Toledo could be replicated. (Author)
Descriptors: Academic Achievement, Kindergarten Children, Perceptual Motor Coordination, Predictive Validity

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