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Fernandes Malaquias, Rodrigo; de Oliveira Malaquias, Fernanda Francielle – Turkish Online Journal of Distance Education, 2014
The objective of this study was to validate a scale for assessment of academic projects. As a complement, we examined its predictive ability by comparing the scores of advised/corrected projects based on the model and the final scores awarded to the work by an examining panel (approximately 10 months after the project design). Results of…
Descriptors: Predictive Measurement, Predictive Validity, Predictor Variables, Test Construction
Alcaraz, Saul; Torregrosa, Miquel; Viladrich, Carme – Research Quarterly for Exercise and Sport, 2015
Purpose: The purpose of the present research was to test how behavioral regulations are mediated between basic psychological needs and psychological well-being and ill-being in a sample of team-sport coaches. Based on self-determination theory, we hypothesized a model where satisfaction and thwarting of the basic psychological needs predicted…
Descriptors: Well Being, Psychological Needs, Athletic Coaches, Motivation
Camilleri, Liberato; Cefai, Carmel – World Journal of Education, 2013
Multiple linear regression and ANOVA models are widely used in applications since they provide effective statistical tools for assessing the relationship between a continuous dependent variable and several predictors. However these models rely heavily on linearity and normality assumptions and they do not accommodate categorical dependent…
Descriptors: Regression (Statistics), Models, Predictor Variables, Predictive Measurement
Siegle, Del; McCoach, D. Betsy; Shea, Kelly – Roeper Review, 2014
Factors associated with motivation and satisfaction aid in understanding the processes that enhance achievement and productivity. Siegle and McCoach (2005) proposed a motivational model for understanding student achievement and underachievement that included self-perceptions in three areas (meaningfulness [goal valuation], self-efficacy, and…
Descriptors: Job Satisfaction, Academically Gifted, Talent, Predictive Measurement
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
Peer reviewedO'Brecht, Michael; And Others – Research in Higher Education, 1989
Survey data from 458 former health science graduate students were examined for correlations between variables that might be used in selecting research training award recipients and successful training outcome defined as a highly productive research career. Four variables that showed promise as useful indicators of posttraining research are…
Descriptors: Academic Achievement, Discriminant Analysis, Factor Analysis, Grades (Scholastic)
Coburn, James Minton – 1969
The purpose of this research was to compile data for use as related information in the education of drivers, and to derive a formula for computing a hazard index for rail-highway intersections. Data for the study were compiled from: (1) all crossings on which field data were collected, (2) reports of 642 accidents, and (3) data collected from…
Descriptors: Accident Prevention, Doctoral Dissertations, Driver Education, Factor Analysis
Friedman, David – 1972
Arguments which suggest that improved prediction of multiple criteria can be achieved employing pattern scoring of responses, as opposed to conventional methods, are examined. Models for improving prediction of single and multiple criteria were examined. The findings are: (1) simple linear combinations of predictor variables perform as well…
Descriptors: Academic Achievement, Achievement Tests, Factor Analysis, Factor Structure
SUPPES, PATRICK; AND OTHERS – 1966
A LEARNING MODEL TO IDENTIFY FACTORS CONTRIBUTING TO THE DIFFICULTY OF A PROBLEM ITEM WAS SUPPORTED EMPIRICALLY, AND INDICATED THAT THE NUMBER OF STEPS REQUIRED TO SOLVE A PROBLEM WAS THE MOST IMPORTANT VARIABLE IN PREDICTING BOTH ERROR PROBABILITY AND RESPONSE LATENCY. THE MODEL, IN ORDER TO ESTABLISH DIFFERENTIAL PREDICTIONS OF DIFFICULTY IN…
Descriptors: Arithmetic, Cognitive Processes, Computer Assisted Instruction, Concept Formation

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