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The Complex Route to Success: Complex Problem-Solving Skills in the Prediction of University Success
Stadler, Matthias J.; Becker, Nicolas; Greiff, Samuel; Spinath, Frank M. – Higher Education Research and Development, 2016
Successful completion of a university degree is a complex matter. Based on considerations regarding the demands of acquiring a university degree, the aim of this paper was to investigate the utility of complex problem-solving (CPS) skills in the prediction of objective and subjective university success (SUS). The key finding of this study was that…
Descriptors: Success, Predictive Validity, Predictor Variables, Problem Solving
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Cheema, Jehanzeb R.; Zhang, Bo – International Journal of Education and Development using Information and Communication Technology, 2013
This study looked at the effect of both quantity and quality of computer use on achievement. The Program for International Student Assessment (PISA) 2003 student survey comprising of 4,356 students (boys, n = 2,129; girls, n = 2,227) was used to predict academic achievement from quantity and quality of computer use while controlling for…
Descriptors: Academic Achievement, Computer Use, Educational Quality, Incidence
Peer reviewedPassmore, David L.; Irvin, Donald E. – Journal of Industrial Teacher Education, 1974
The generation of empirically-based equations is within the grasp of most researchers in occupational education. This paper was designed to develop a sensitivity to the need for cross-validation in these circumstances. Program CROSVAL is a means of bridging the gap between the need for, and mechanization of, cross validation. (Author/DS)
Descriptors: Decision Making, Educational Research, Predictive Measurement, Predictive Validity
WEITZ, HENRY – 1967
COUNSELORS OFTEN ADMINISTER TESTS OF QUESTIONABLE VALIDITY. IN RELIABILITY STUDIES, EVERY PRECAUTION IS TAKEN TO STABILIZE THE STIMULUS SITUATION. IN ASSESSING VALIDITY, CONCERN CENTERS ON BEHAVIOR UNDER DIFFERENT STIMULUS CONDITIONS. CRONBACH'S THEORETICAL LIMIT FOR A VALIDITY COEFFICIENT OF A TEST IS THE SQUARE ROOT OF THE RELIABILITY…
Descriptors: Aptitude Tests, Career Counseling, Counseling, Counseling Objectives

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