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Developing an Instrument to Assess Student Readiness for Online Learning: A Validation Study
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Dray, Barbara J.; Lowenthal, Patrick R.; Miszkiewicz, Melissa J.; Ruiz-Primo, Maria Araceli; Marczynski, Kelly – Distance Education, 2011
Given the continued growth in online learning as well as reports of high attrition rates in it, understanding student readiness for online learning is necessary. Over the years several surveys have been developed to assess student readiness as a predictor of success in online programs; however, a review of the literature yielded limited results of…
Descriptors: Predictive Validity, Self Evaluation (Individuals), Test Construction, Readiness
Towards Identifying Factors Underlying Readiness for Online Learning: An Exploratory Study.
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Smith, Peter J.; Murphy, Karen L.; Mahoney, Sue E. – Distance Education, 2003
Describes a test of the potential value of McVay's (2000) Readiness for Online Learning questionnaire on 107 undergraduates in the United States and Australia. Discusses results of a reliability analysis and a factor analysis, which indicated the instruments' usefulness for research and practice and suggests further work to establish predictive…
Descriptors: Factor Analysis, Foreign Countries, Higher Education, Learning Readiness
The Development of a Questionnaire for Predicting Online Learning Achievement
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Bernard, Robert M.; Brauer, Aaron; Abrami, Philip C.; Surkes, Mike – Distance Education, 2004
The study reported here concerns the development and predictive validation of an instrument to assess the achievement outcomes of DE/online learning success. A 38-item questionnaire was developed and administered to 167 students who were about to embark on an online course. Factor analysis indicated a four-factor solution, interpreted as "general…
Descriptors: Test Construction, Predictive Validity, Online Courses, Grade Point Average
Student Drop-Out in Distance Education: An Application of Tinto's Model.
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Sweet, Robert – Distance Education, 1986
Describes a survey of 356 adult students enrolled in university-level courses at the Open Learning Institute which was conducted to assess the predictive validity of Tinto's theoretical model of student dropout. It was found that, overall, the Tinto model appears to be a useful framework for such investigations. (Author/LRW)
Descriptors: Adult Dropouts, Correlation, Discriminant Analysis, Distance Education