An Analysis of the Distribution Map of Physical Education Learning Motivation through Rasch Modeling in Elementary School

Abstract

The distribution map of physical education learning motivation could provide information about the electability of motivational items (questionnaires) distributed to several elementary school students. In more detail, this study would analyze the grouping of the electability level of physical education learning motivation items in elementary schools through a combination of standard deviation (SD) values and logit mean scores. Twenty-one students aged 13-14 years participated in this study by filling out a motivation to learn physical education questionnaire. The data analysis technique was performed through Rasch modeling assisted by the Winsteps 3.75 application. The results indicated that there were variations in the level of electability of physical education learning motivation items. The grouping was based on several item categories, including extremely difficult to get elected item category with a logit value greater than + 1SD; difficult to get elected item category with a value of 0.0 logit +1 SD; easy to get elected item category with a value of 0.0 logit -1 SD; and extremely easy to get elected item category with a value smaller than –SD. An ideal set of motivation items could identify the various motivations of students with diverse levels of motivation