Abstract—This article describes the use of IBM SPSS Text Analytics for Surveys to analyze students’ written responses to a teacher leadership dilemma. The purpose of this study was to examine the accuracy of the categories generated by IBM SPSS Text Analytics for Surveys. Our findings from the correlation analyses indicate that a significant inter rater reliability existed between the text mining method from IBM SPSS Text Analytics for Surveys and human ratings.
Index Terms—Technology in education, text mining, teacher leadership dilemma, IBM SPSS text analytics for surveys.
The authors are with the College of Education, Murray State University, Murray, KY 42071 USA (e-mail: yxu@murraystate.edu).
Cite: Yuejin Xu and Noah Reynolds, "Using Text Mining Techniques to Analyze Students’Written Responses to a Teacher Leadership Dilemma," International Journal of Computer Theory and Engineering vol. 4, no. 4, pp. 575-578, 2012.
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