Dataset of Intrinsic Motivation Students while Online Learning in South Sumatera, Indonesia.
Description
Students' intrinsic motivation is one component that impacts the success of online learning in higher education. Understanding the powers of intrinsic motivation is critical for accomplishing successful schooling. Based on their gender, age, and level of education, this research gives data to assess students' intrinsic motivation in South Sumatera. There are 22 items in the data set, with 1037 respondents. The respondents came from various parts of Indonesia's South Sumatera region. The Rasch model will analyze 1,037 data respondents with Winsteps Version 3.73 Application. The Rasch model formula raises the data's quality. This data can be used to produce students' intrinsic motivation and build a recommender for policy learning in South Sumatera, Indonesia.
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The method for obtaining data that fit is using the Rasch model. Some fit indexes pro-vided in the Rasch analysis are ZSTD Person Infit, ZSTD Person Outfit, MNSQ Infit Person, MNSQ Person Outfit, ZSTD Infit Item, ZSTD Outfit Item, MNSQ Infit Item, MNSQ Outfit Item. From 1037 out of total respondents were analyzed. The respondents who met the criteria. 1. Outfit Mean Square (MNSQ) received: 0.5 < MNSQ < 1.5 2. Z-Standard Outfit (ZSTD) value received: –2.0 < ZSTD < + 2.0 3. Outfit Point Value Correlation (Pt Mean Corr.) Value: 0.4 < Pt Measure Corr. < 0.85. So, if fit data are collected, there are 599 fit total respondents. The rest of the respondents who did not fit were 438 people consisting of 2 people indicated as outliers (one people from the maximum extreme score group and one person from the minimum extreme score group), 1 person were indicated not filling in the questionnaire. 435 entered the most misfitting responses and the most unexpected responses. Then, 599 respondents were grouped according to their level of motivation based on demographic data.