Quantitative Article

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Quantitative Article Review
While researching the quantitative article, “Professor’s Role in Motivating Students to Attend Class,” the purpose of the study is to get readers to understand how a college teacher motivates students within a class to learn. The researcher used correlational research design, with 156 graduate and undergraduate students. The researcher tried to select adequate samples form the students enrolled. Students in each of the classrooms were randomly placed into one of two groups by either using a random table of numbers or by flipping a coin. However the study employed an approach of survey questionnaire developed by Burgess (1998) was used in this study. A t-test was used to compare the means between each of the items on the motivated to attend and unmotivated to attend surveys to check for significant differences. A multivariate analysis of variance (MANOVA) was used to determine whether or not significant interactions between the following factors existed: (a) motivated versus unmotivated survey scores, (b) graduate versus undergraduate students, (c) students’ gender, (d) evaluated teachers’ gender, (e) HRD curriculum versus IS curriculum, (f) required versus elective courses, and (g) students’ working status. If significant differences between mean scores on the surveys existed, small-scale generalizations were made about why students were motivated or not motivated to continue attending college classes because of teacher attributes.
After the surveys data was analyzed with the descriptive statistics, the t-test, and the MANOVA, the study findings were compiled. Therefore a MANOVA indicated that the only significant correlation in the study was between the scores on Motivated to attend and unmotivated to attend surveys. In conclusion the t-test for equality of mean between motivated and unmotivated surveys the results of this…...

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