The Analysis of Distribution Map of Physical Education Learning Motivation through Rasch Modeling towards Elementary School Students L Nur (a)*, E A Mashudi (a), R N Ramdhani (a), A Yulianto (a), A Budiman (a), E Nur’aeni (a), R Giyartini (a), A Mulyadiprana (a), A A Malik (b)
a) Universitas Pendidikan Indonesia, Jl. Dr. Setiabudhi 229, Bandung 40154,
Jawa Barat, Indonesia
*lutfinur[at]upi.edu
b) Universitas Siliwangi, Jl. Siliwangi 24, Tasikmalaya 46115, Jawa Barat, Indonesia
Abstract
The distribution map of students’ motivation in Physical Education learning was able to provide information about the electability of motivation items (questionnaires) which were distributed to a number of elementary school students. In more detail, this study analysed the classification of the electability level of physical education learning motivation items in elementary schools which were adopted from [1] by combining the standard deviation (SD) values and logit average values (Mean). The data analysis technique was carried out through Rasch modeling assisted by the Winsteps 3.75 application (dichotomous data processing). The results of this analysis indicated that there were variations in the level of electability of physical education learning motivation items. The classification included: difficult item category selected with greater logit value + 1SD; difficult item category to be selected with a value of 0.0 logit +1 SD; easily selected item category with a value of 0.0 logit -1 SD; easily selected item category with lower value than –SD. A good set of motivational items could identify the various motivations of students with varied levels of motivation.
Keywords: distribution map; motivation; physical education; rasch modeling; elementary school