The Analysis of Student Response Patterns to Physical Education Learning Motivation through Rasch Modeling in Elementary Schools L Nur (a)*, S Juditya (b), E Kastrena (c), R N Ramdhani (a), A Budiman (a), H Y Muslihin (a), A Yulianto (a), R Wibowo (a), T Haryono (a), R Giyartini (a), A A Malik (d)
(a) Universitas Pendidikan Indonesia, Jl. Dr. Setiabudhi 229, Bandung 40154, West Java, Indonesia
*lutfinur[at]upi.edu
(b) STKIP Pasundan, Jl. Permana No.32B, Cimahi 40512, West Java, Indonesia
(c) Universitas Suryakancana, Jl. Pasirgede Raya, Cianjur 43216, West Java, Indonesia
(d) Universitas Siliwangi, Jl. Siliwangi 24, Tasikmalaya 46115, West Java, Indonesia
Abstract
The analysis of the students’ responses to physical education learning motivation was able to provide information about the effectiveness of the learning implementation. In more detail, this study identified and analysed the students’ motivation level in learning Physical Education by filling out the Physical Education learning motivation questionnaire items. The data analysis technique was carried out through Rasch modeling assisted by the winsteps 3.75 application (dichotomous data processing), in which the information classification on the students motivation level to learn physical education could be seen through the standard deviation (SD) value and the starting point of the logit person average value [1]. From the results of this analysis, the students motivation to learn Physical Education was obtained, namely: high, medium, and low. The results of this classification were based on the SD value (standard deviation = 0.51) and the MEAN value (0.67). The classifications were ranged as follows: If the motivation to learn Physical Education> SD (0.51) then the students have high motivation to learn Physical Education; if SD (0.51) <motivation to learn Physical Education <Mean (0.67) then the student has medium motivation to learn Physical Education; If the motivation to learn Physical Education <Mean (0.91) then students have low motivation to learn Physical Education. In addition, the results of this analysis were able to see inappropriate response pattern employed by the students in filling out the Physical Education learning motivation items based on the students motivation to learn Physical Education.
