Ridwan Maulana, Stéfanie André, Michelle Helms-Lorenz, James Ko, Seyeoung Chun, Abid Shahzad, Yulia Irnidayanti, Okhwa Lee, Thelma de Jager, Thys Coetzee, Nurul Fadhilah
Effective teaching is a key factor in educational effectiveness and improvement. To facilitate the knowledge exchange regarding effective teaching in secondary education internationally, there has been a growing interest in using classroom observation measures. However, little is known regarding the comparability of observation measures across various national contexts (measurement invariance). Consequently, comparing effective teaching behaviour across contexts is compromised by issues of construct and measurement equivalence. In the present study, we investigated measurement invariance of the International Comparative Analysis of Learning and Teaching (ICALT) for measuring teaching behaviour across various national contexts including the Netherlands, South Korea, South Africa, Indonesia, Hong Kong-China, and Pakistan. Results showed that ICALT indicates full strict invariance in four out of the six countries, which provides a possibility to compare teaching behaviour in the Netherlands, South Korea, South Africa, and Indonesia. South Korea indicated the highest quality of teaching behaviour, while Indonesia indicated the lowest. © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Department of Teacher Education, University of Groningen, Groningen, Netherlands; Department of Sociology, Radboud University, Nijmegen, Netherlands; Department of Education Policy and Leadership, The Education University of Hong Kong, Hong Kong; Department of Education, Chungnam National University, Daejeon, South Korea; Department of Education, The Islamia University of Bahawalpur, Bahawalpur, Pakistan; Department of Biology and Biology Education, State University of Jakarta, Jakarta, Indonesia; Department of Education, Chungbuk National University, Cheongju, South Korea; Department Educational Foundation, Tshwane University of Technology, Pretoria, South Africa; Department of Biostatistic and Population, University of Indonesia, Jakarta, Indonesia
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