An Exploratory Factor Analysis on Generating of Quality of Science Teacher Attributes From Malaysian Science Teacher Perspectives

Ahmad Nazri Kosni

International Journal of Academic Research in Business and Social Sciences, 2017, vol. 7, issue 3, 613-623

Abstract: This study is to develop and establish the reliability attributes of quality science teacher from Malaysian science teacher perspectives. This paper discusses the validity and reliability of quality science teacher attributes obtained through the Exploratory Factor Analysis (EFA) process using IBM SPSS Version 21. The design of quantitative survey method used in this study to collect data through attributes of quality science teacher instrument (AQSTI) which has been generated from the previous studies. AQSTI consist of 68 item under three constructs namely value, skill and knowledge were put together to form a questionnaire using a 5-point Likertscaled. Participants consisted of 230 science teacher in secondary school. The instrument was representing indicators for quality science teacher attributes. The internal consistency using Cronbach’s coefficient alpha for every construct is greater than 0.800. For the overall instrument using the 68 items that comprised the three constructs, internal consistency reliability revealed a Cronbach’s coefficient alpha of 0.900. From the analysis, 42 items of quality science teachers generate where 19 items retained under values attributes, six item for skills attribute and, 17 item for knowledge attributes. However, there were 26 items absent from the original questionnaire, thus the items were discarded because they were found inappropriate for representing constructs proposed. Consequently, a total of 42 items representing indicators for these attributes of a quality science teacher. Furthermore, all the attributes used to collecting data to develop attributes of quality science teacher for the real study to improve the quality of student teachers, in terms of values, skills and knowledge.

Keywords: Exploratory factor analysis; attributes; quality science teacher; values; skills; knowledge (search for similar items in EconPapers)
Date: 2017
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