NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 11,776 to 11,790 of 16,469 results Save | Export
Jiang, Ying Hong; Mok, Doris; Weaver, Robert R. – 2003
The purpose of this study was to use data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 database for public use (version 2.9.2.1; Westat, 2000) to examine a sample of Head Start children and families to predict kindergarten and first grade success, The study controlled family variables of income level, family…
Descriptors: Academic Achievement, Economically Disadvantaged, Grade 1, Kindergarten
Lingzhu, Ji – 2003
This paper asserts that while predicting in listening is a very important listening skill and listening habit, English language learners are often reluctant to use prediction. It recommends that teachers should work to cultivate students' predicting ability so that the students can form a natural and effective listening habit and can predict based…
Descriptors: Cognitive Processes, English (Second Language), Grammar, Listening Skills
Kester, Donald L.; Linton, Thomas H.; Sullivan, Lynn R. – 2002
This study compared two statistical approaches, predictive discriminant function analysis and binary logistic regression analysis, to determine the characteristics of at-risk students who succeeded in comparison with those who did not succeed in a project-based alternative high school program. The study also investigated true positive hit rates…
Descriptors: High Risk Students, High School Students, High Schools, Prediction
Ben-Yashar, Ruth; Nitzan, Shmuel; Vos, Hans J. – 2001
This paper compares the determination of optimal cutoff points for single and multiple tests in the field of personnel selection. Decisional skills of predictor tests composing the multiple test are assumed to be endogenous variables that depend on the cutting points to be set. The main result specifies the condition that determines the…
Descriptors: Cutting Scores, Decision Making, Educational Testing, Personnel Selection
Soderstrom, Irina R.; Leitner, Dennis W. – 1997
While it is imperative that attempts be made to assess the predictive accuracy of any prediction model, traditional measures of predictive accuracy have been criticized as suffering from "the base rate problem." The base rate refers to the relative frequency of occurrence of the event being studied in the population of interest, and the…
Descriptors: Mathematical Models, Monte Carlo Methods, Prediction, Regression (Statistics)
Garrett, Mark D. – 2000
Using data from the 1986-1990 Cooperative Institutional Research Program (CIRP) dataset, this study examined the effect of college male athletic participation in the sports of football or basketball as compared to participation in other "minor" sports on academic performance as measured by grade point average. Results indicate that the type of…
Descriptors: Academic Achievement, Athletes, College Students, Grade Point Average
Melnick, Rob; Heffernon, Rick; Welch, Nancy – 2003
The approval of Proposition 301 by Arizona voters in November 2000 was a significant step toward a new foundation for the state's economic future by providing a long-term funding stream for science and technology investments. This new sales tax enabled the state to create an economic development strategy appropriate for the knowledge economy. This…
Descriptors: Economic Factors, Higher Education, Investment, Prediction
Everson, Howard T.; Weinstein, Claire E.; Laitusis, Vytas – 2000
The importance of learning and study strategies in fostering academic achievement has generated a demand for assessing these behaviors. The Learning and Study Strategies Inventory-High School version (LASSI-HS) is one of the most popular of these assessment devices. This study analyzed the second order latent structure of the inventory, using a…
Descriptors: Ability, Academic Achievement, Factor Structure, High School Students
Porter, Stephen R. – 2000
Annual funds face pressures to contact all alumni to maximize participation, but these efforts are costly. This paper uses a logistic regression model to predict likely donors among alumni from the College of Arts & Humanities at the University of Maryland, College Park. Alumni were grouped according to their predicted probability of donating…
Descriptors: Alumni, Donors, Fund Raising, Mathematical Models
Wicker, Frank W.; Turner, Jeannine E.; Reed, JoyLynn H.; McCann, Erin J.; Do, Seung Lee – 1999
Consistent with prior research, expected performance on a midterm examination decreased for 48 college students as the test approached in time, as did grade-level goal and perceived adequacy of effort, although indices of goal value and of motivation to achieve the goal remained constant. Changes were generally monotonic across three occasions.…
Descriptors: College Students, Expectation, Grades (Scholastic), Higher Education
Hess, Brian – 1999
Latent growth modeling (LGM) has emerged as a flexible analytic technique for modeling change over time because it can describe individual variability in terms of initial status and in growth. LGM methodology can also provide a means for testing the contribution of other variables in order to explain variability in those initial levels and growth…
Descriptors: Change, Drug Use, Evaluation Methods, Evaluators
Peer reviewed Peer reviewed
DeMyer, Marian K.; And Others – Journal of Autism and Childhood Schizophrenia, 1973
Descriptors: Autism, Biological Influences, Children, Emotional Disturbances
Peer reviewed Peer reviewed
Simensen, R. J. – Journal of Clinical Psychology, 1974
It was the purpose of this study to demonstrate the need for additional analysis of the correlates of the Bender Visual Motor Gestalt Test. (Author)
Descriptors: Correlation, Data Collection, Mental Retardation, Methods
Peer reviewed Peer reviewed
Schoenfeldt, Lyle F.; Lissitz, Robert W. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 088, TM 501 090.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction
Peer reviewed Peer reviewed
Novick, Melvin R. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 088, and TM 501 089.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction
Pages: 1  |  ...  |  782  |  783  |  784  |  785  |  786  |  787  |  788  |  789  |  790  |  ...  |  1098