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Showing 1 to 15 of 24 results Save | Export
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Corrigan, Matthew J. – Journal of Alcohol and Drug Education, 2017
This study sought to develop a short version of the ADSI, and investigate its psychometric properties. Methods: This is a secondary analysis. Analysis to determine the Cronbach's Alpha, correlations to determine concurrent criterion validity and known instrument validity and a logistic regression to determine predictive validity were conducted.…
Descriptors: Psychometrics, Correlation, Screening Tests, Statistical Analysis
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Van den Branden, Sigrid; Van den Broucke, Stephan; Leroy, Roos; Declerck, Dominique; Hoppenbrouwers, Karel – Health Education Journal, 2015
Objective: This study aimed to test the predictive validity of the Theory of Planned Behaviour (TPB) when applied to the oral health-related behaviours of parents towards their preschool children in a cross-sectional and prospective design over a 5-year interval. Methods: Data for this study were obtained from parents of 1,057 children born…
Descriptors: Preschool Children, Prediction, Parents, Health Behavior
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Knowlden, Adam P.; Sharma, Manoj; Bernard, Amy L. – Journal of Primary Prevention, 2012
The purpose of this study was to operationalize the constructs of the Theory of Planned Behavior (TPB) to predict the sleep intentions and behaviors of undergraduate college students attending a Midwestern University. Data collection spanned three phases. The first phase included a semi-structured qualitative interview (n = 11), readability by…
Descriptors: Prediction, Theories, Undergraduate Students, Content Validity
LeRoux, Mindy J. – ProQuest LLC, 2012
The purpose of this study was to analyze the relationship between oral reading fluency (ORF) and Maze, two common Curriculum-Based Measures (CBMs), and the statewide large-scale assessment of reading in Oregon, the Oregon Assessment of Knowledge and Skills- Reading (OAKS-R). A sample of three cohorts of eighth-grade students in an Oregon school…
Descriptors: Curriculum Based Assessment, Grade 8, Reading Tests, Oral Reading
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Culhane, Scott E.; Morera, Osvaldo F. – Hispanic Journal of Behavioral Sciences, 2010
This project tested the State-Trait Anger Expression Inventory-2 (STAXI-2) and the Novaco Anger Scale-Provocation Inventory (NAS-PI) in a sample of U.S. Hispanic (n = 257) and U.S. non-Hispanic White (n = 246) undergraduate students. Internal consistency, subscale correlations, convergent validity with the Multidimensional Anger Inventory (MAI),…
Descriptors: Undergraduate Students, Ethnic Groups, Predictive Validity, Reliability
Luna, Andrew L.; Brennan, Kelly A. – Association for Institutional Research (NJ1), 2009
This study uses a regression model to determine if a significant difference exists between the actual budget allocation that an academic department received and the model's predicted budget allocation for that same department. Budget data from a Southeastern Master's/Comprehensive state university were used as the dependent variable, and the…
Descriptors: Budgeting, Resource Allocation, Multiple Regression Analysis, Departments
Seethaler, Pamela M. – ProQuest LLC, 2008
The purpose of this study was to examine the reliability, validity, and predictive utility of 3 measures for screening kindergarten students for risk for math difficulty (MD). The screening measures assessed number sense and computational fluency, constructs central to typical early mathematical development. Conceptual and operational outcomes…
Descriptors: Prediction, Kindergarten, Grade 1, Predictive Validity
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Brooks, Gordon P.; Barcikowski, Robert S. – Mid-Western Educational Researcher, 1996
Analyzes advantages and disadvantages of methods of selecting sample sizes in multiple regression. Discusses importance of cross-validity to prediction studies. Describes categories of sample size selection methods: cross-validation approaches, rules of thumb, and statistical power methods. Uses multiple examples to present the precision power…
Descriptors: Multiple Regression Analysis, Power (Statistics), Prediction, Predictive Validity
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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
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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
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Musgrove, Walter J.; Musgrove, Glenn J. – Journal of Employment Counseling, 1979
This study attempts to determine the relationship between the subtests of the General Education Performance Index (GEPI) and the revised version of the General Educational Development Test (GED), and reports a technique whereby performance on the GEPI may be used to predict performance on the GED. (Author)
Descriptors: Adults, Correlation, High School Equivalency Programs, Multiple Regression Analysis
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Lissitz, 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
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
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Roblyer, M. D.; Davis, Lloyd – Online Journal of Distance Learning Administration, 2008
Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…
Descriptors: Prediction, Predictor Variables, Success, Virtual Classrooms
Miller, Douglas E.; Kunce, Joseph T. – Measurement and Evaluation in Guidance, 1973
An empirical study of statistical overkill investigated the generalizability of multiple regression equations as a function of the subject/variable ratio. Data from various-sized groups of rehabilitation clients were used to develop the equations. Findings showed that equations developed on samples with less than a 10 to 1 ratio failed to…
Descriptors: Generalization, Multiple Regression Analysis, Prediction, Predictive Validity
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