Computers in the Schools Volume 25, Number 1, ISSN 0738-0569
This article reports the results of a study examining the predictive validity of a computer attitude instrument. The researchers attempted to determine the extent to which this instrument predicts student learning. Data from two universities were collected using this instrument over a nine-year period and were sorted into three sets with a random n of 400 in each. Three procedures were performed. First, one set of data was used to develop a base model of prediction. Second, this model was used to calculate the predicted learning achievement scores for the other two sets of data. Finally, in those two sets of data, the means of the predicted and observed learning achievement scores were compared using inferential statistics. The predictive validity of the instrument was confirmed, as no significant differences were found between the mean predicted and observed learning outcome scores. (Contains 1 figure and 2 tables.)
Liu, L. & Maddux, C. (2008). Examining the Predictive Validity of an Instrument: Technology Attitudes and Learning. Computers in the Schools, 25(1), 145-158. Retrieved March 23, 2019 from https://www.learntechlib.org/p/104762/.
Swapna Kumar, University of Florida, Gainesville, United States; Katya Vigil, Boston University, MA, United States
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2010 (Oct 18, 2010) pp. 1908–1913
Using Research Modeling Methods to Enhance Teacher Education Students’ Practice in Technology Integration
Leping Liu, University of Nevada, Reno, United States
Society for Information Technology & Teacher Education International Conference 2008 (Mar 03, 2008) pp. 1174–1179
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