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| Abstract : Universiti Pendidikan Sultan Idris |
| ATLAS.ti 24 software can be applied to analyse data collection systematically. This study aims to analyse the Malay essay questions of Sijil Pelajaran Malaysia (SPM) to develop the main keywords. Research data using real SPM Malay essay questions, repeat SPM Malay essay questions and experimental SPM Malay essay questions from 2010 to 2020. The NCT Friese Model procedure consists of Noticing things, Collecting things and Thinking about things, and components are applied to the seven phases of Frieses Thematic Content Analysis (TCA) to detail the analysis process. The Research Question Development Tool (RQDT) is PICo representing Population, Interest and Context and was adapted as the basis of theme development in the analysis using ATLAS.ti software 24. Based on this research, a systematic ATLAS.ti analysis procedure was built. In addition, SPM essay questions can be categorized into four main aspects, with an additional Form category, PICoB. Additionally, six main keywords represent the Population theme, three main keywords represent the Focus theme, and 19 main keywords represent the Context theme. This sharing of analysis procedures guides subsequent researchers to improve analysis using ATLAS.ti software. The results of this research are also expected to generate innovation in teachers in the process of analysing material and help students write essays to focus on the requirements of the question. Universiti Putra Malaysia Press. |
| References |
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