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Bishop, John B.; Sharf, Richard S. – Journal of College Student Personnel, 1981
Investigated 11 variables used by 9 intake counselors to predict the number of counseling sessions a client would attend. Results indicated that the judged severity of personal problems was the most prominent variable, although the variables studied accounted for only 38 percent of the variance. Intercorrelations among all the variables studied…
Descriptors: Counselor Attitudes, Counselor Client Relationship, Counselors, Evaluation Criteria
Peer reviewedUllman, Douglas G.; And Others – Journal of Consulting and Clinical Psychology, 1981
Investigated diagnostic policies for hyperactivity used by (N=16) experienced clinical psychologists. Individual analyses were made on each clinician's set of diagnoses of children described in terms of 19 cues. Clinicians' diagnoses were intercorrelated but substantial individual differences existed. Suggests little professional consensus on the…
Descriptors: Clinical Diagnosis, Clinical Psychology, Decision Making, Hyperactivity
Peer reviewedJanssen, Rianne; De Boeck, Paul – Journal of Educational Measurement, 1996
Multiple regression analysis shows that both a response-production component and an evaluation component are involved in answers to a free-response synonym task by 299 Belgian college students. Format differences between the multiple choice evaluation task and the synonym task are explained in terms of verbal abilities measured. (SLD)
Descriptors: College Students, Evaluation Methods, Higher Education, Multiple Choice Tests
Peer reviewedZemsky, Robert – Liberal Education, 1990
The article reports preliminary observations on data from six colleges on application of a regression model to help explain observed differences in instructional efficiencies of specific curricula. A major finding was that the most efficient distribution of students is in the humanities and social sciences. Tentative explanations for this finding…
Descriptors: Curriculum, Educational Economics, Efficiency, Evaluation Methods
Peer reviewedStage, Frances K. – Research in Higher Education, 1988
A study demonstrated the use of logistic regression in conjunction with a new structural equations modeling technique for a university attrition study. The results and their methodological implications are discussed. (MSE)
Descriptors: Academic Persistence, College Freshmen, Comparative Analysis, Higher Education
Peer reviewedSummers, Susan R.; And Others – Journal of Education Finance, 1995
Examines supplantation and redistribution effects of lottery allocations to the 28-member Florida community college system. Florida community colleges incurred four adverse consequences from being earmarked for lottery profits. Receiving lottery profits was accompanied by a drop in college expenditures, fewer spending dollars, supplanted general…
Descriptors: Community Colleges, Educational Finance, Postsecondary Education, Public Education
Peer reviewedHsu, Louis M. – Journal of Consulting and Clinical Psychology, 1995
Focuses on regression effects that arise from measurement error, and examines methods used to evaluate pre- to post-therapy score changes that attempt to take these regression effects into account. Discusses statistical and practical problems, identifies and analyzes specific examples, and distinguishes objectives of these methods from other…
Descriptors: Error of Measurement, Measurement, Prediction, Psychological Evaluation
Peer reviewedMixon, Franklin G., Jr.; Hsing, Yu – Economics of Education Review, 1994
Measures determinants of out-of-state enrollments in institutions of higher learning throughout the United States. Tobit regression results suggest that college size, status, selectivity, collegiate sports participation, and other factors significantly influence a university's percentage of nonresident student enrollments. The economics of college…
Descriptors: College Students, Enrollment Influences, Higher Education, Human Capital
Peer reviewedHedeker, Donald; And Others – Journal of Consulting and Clinical Psychology, 1994
Proposes random-effects regression model for analysis of clustered data. Suggests model assumes some dependency of within-cluster data. Model adjusts effects for resulting dependency from data clustering. Describes maximum marginal likelihood solution. Discusses available statistical software. Demonstrates model via investigation involving…
Descriptors: Cluster Grouping, Computer Software Evaluation, Junior High School Students, Models
Peer reviewedJones, Molly M.; Jackson, Kirby L. – Journal of Early Intervention, 1992
This paper encourages the use of multiple logistic analysis in early intervention research, to assess the degree of association of multiple factors (such as subject or situational characteristics) with a dichotomous outcome (such as benefitting or not benefitting from an intervention) and to estimate the probability of each outcome. (JDD)
Descriptors: Disabilities, Early Intervention, Multiple Regression Analysis, Prediction
Peer reviewedBecker, Betsy Jane – Journal of Educational Statistics, 1992
Combining information to estimate standardized partial regression coefficients in a linear model is discussed. A combined estimate obtained from the pooled correlation matrix is proposed, and its large sample distribution is obtained. The method is generalized to handle a random effects model in which correlation parameters vary across studies.…
Descriptors: Correlation, Equations (Mathematics), Estimation (Mathematics), Hypothesis Testing
Peer reviewedPaterson, Lindsay; Goldstein, Harvey – British Educational Research Journal, 1991
Describes developments in multilevel modeling of educational and other social data. Suggests that such a technique be used for school effectiveness studies, political opinion surveys, and area-based studies. Recommends that the inherent hierarchical structure of social science data be reflected in statistical models. Argues that multilevel…
Descriptors: Cluster Analysis, Computer Software, Higher Education, Models
Peer reviewedBarker, Theodore A.; And Others – Reading Research Quarterly, 1992
Examines the contribution of orthographic processing skills to individual differences on five types of reading measures for third grade children. Finds that orthographic skills contributed significantly to each type of reading. Finds that significant variation still remains after print exposure is partialed out of the regression. (RS)
Descriptors: Grade 3, Oral Reading, Primary Education, Reading Research
Peer reviewedHenriksen, Melvin, Ed.; Wagon, Stan, Ed. – American Mathematical Monthly, 1991
Using a graphical analysis of the linear best fit for a set of Cartesian data points, the drawbacks of the least-squares method for determining this best fit are discussed. The Wald Line, which utilizes a variation of the geometric mean, is proposed as the best alternative to the least-squares regression line particularly when the data contain…
Descriptors: College Mathematics, Goodness of Fit, Higher Education, Least Squares Statistics
Peer reviewedMurphy, Robert G.; Trandel, Gregory A. – Economics of Education Review, 1994
Examines the extent that a university's success in intercollegiate athletics affects the number of applications received for undergraduate admittance. The sample included 55 universities belonging to 1 of 6 major college football conferences. Econometric results show that a university football team's winning football record is positively (and…
Descriptors: College Athletics, College Choice, Econometrics, Football


