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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) REiD (Research and Evaluation in Education) JMM (Jurnal Masyarakat Mandiri) JUPE : Jurnal Pendidikan Mandala Jurnal Pendidikan dan Kewirausahaan International Journal of Mathematics and Mathematics Education (IJMME)
Ismail, Raoda
Cenderawasih University
Education Mathematics Social Sciences Other

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Optimal Scale Points for Reliable Measurements: Exploring the Impact of Scale Point Variation Ismail, Raoda; Retnawati, Heri; Sugiman, Sugiman; Setiawati, Farida Agus; Imawan, Okky Riswandha; Santoso, Purwoko Haryadi
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol. 13 No. 1 (2024): JP3I
Publisher : FAKULTAS PSIKOLOGI UIN SYARIF HIDAYATULLAH JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v13i1.34173

Abstract

Ensuring reliable measurements is crucial for minimising errors in assessments. The assessmentcommunity commonly employs the evaluation of reliability coefficients to estimate the dependability oftest scores. Despite its significance, limited research has explored the relationship between the estimated reliability coefficient and the number of scale points utilised. This study aims to provide valuable insights to practitioners by investigating the optimal number of scale points required for the most accurate reliability coefficient estimation. Using simulated data, the research scrutinises scales with varying points, ranging from 2 to 11. The results reveal a substantial impact of the number of scale points on reliability estimation. The most accurate estimate of reliability is obtained for scales with 8 points. This study helps us understand the optimal number of scale points for reliable measurements and guides future assessment improvements.
Cluster analysis of the national examination: School grouping to maintain the sustainability of high school quality Ismail, Raoda; Retnawati, Heri; Imawan, Okky Riswandha
REID (Research and Evaluation in Education) Vol. 8 No. 1 (2022)
Publisher : Graduate School of Universitas Negeri Yogyakarta & Himpunan Evaluasi Pendidikan Indonesia (HEPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/reid.v8i1.45872

Abstract

This study aims to classify high schools in Papua Province, Indonesia, based on the 2019 National Examination scores so they can be considered in maintaining the sustainability of school quality in Papua. In this study, all senior high schools in Papua Province were grouped into three clusters: Cluster 1 (high), Cluster 2 (medium), and Cluster 3 (low clusters) using the K-Means Algorithm on the 2019 National Examination data. The data were obtained through the website official Center of Educational Assessment of the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia. Clarification was done by grouping data on national examination scores from each school based on the similarity of the data with data from other schools. The results of the high school clustering using the K-Means Algorithm show that 18 schools are in Cluster 1, 58 schools in Cluster 2, and 68 schools in Cluster 3. The results of the analysis of the K-Means Algorithm show an R2 value of 0.723 and a Silhouette score of 0.42.
Co-Authors Farida Agus Setiawati Febriani Safitri Heri Retnawati Mayor M.H. Manurung Okky Riswandha Imawan Purwoko Haryadi Santoso Sugiman Sugiman