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Teacher’s Achievement in Curriculum 2013 Training: A Hierarchical Linear Model

Correspondent author, Universitas Negeri Yogyakarta, Indonesia, [email protected], Junaidin Junaidin, Sugiyono Sugiyono, Prof. Dr. M.Pd., Universitas Negeri Yogyakarta, Indonesia, [email protected], Yoyon Suryono, Prof. Dr. MS., Universitas Negeri Yogyakarta, Indonesia, [email protected], Komalasari Komalasari, Central Kalimantan Province Education Quality Assurance Agency (LPMP), Ministry of Education and Culture, Indonesia, [email protected]

2021International Journal of Instruction10 citationsDOIOpen Access PDF

Abstract

This study develops an Hierarchical Linear Model (HLM) model in order to identify the predictors that have an effect on teachers' achievement in curriculum 2013 training. It is a two-level model with teacher's characteristics as Level 1 variables and facilitators characteristics as Level 2 variables. The analysis in this study uses secondary data. The Indonesian Central Kalimantan Province Education Quality Assurance Institute has implemented education and training for the 2013 curriculum, and has a post test score document. The HLM analysis model is applied, with stages: zero model analysis, finalization of level-1, level-2, and final analysis model for teachers and facilitators. The results of the analysis for the teacher level, that the PRIA-B predictor has a direct positive effect on the results, C13ACH. Meanwhile, GENDER has a negative effect on C13ACH. The Facilitator, GENDER, and P_MEAN have a direct positive effect on C13ACH while GENDER is also found interacting with PRIAB that leads to the outcome variable, C13ACH. The interaction between GENDER and the slope of PRIAB is a positive one. The results of the model variance components indicate that the final full model explains about 46% of the total available variance.

Topics & Concepts

Multilevel modelFacilitatorCurriculumPsychologyVariance (accounting)Mathematics educationLinear modelVariablesIndonesianAnalysis of varianceStatisticsMathematicsPedagogySocial psychologyAccountingBusinessLinguisticsPhilosophyMathematics Education and PedagogyEducational Research and MethodsData Mining and Machine Learning Applications
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