Development and Validation of Psychometric Properties of the 10 IB Learner Profile Instrument (10IBLP-I): A Combination of the Rasch and Classical Measurement Model
Miftahuljanah Kamaruddin and
Mohd Effendi Ewan Mohd Matore
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Miftahuljanah Kamaruddin: Research Centre of Educational Planning and Policy, Faculty of Education, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
Mohd Effendi Ewan Mohd Matore: Research Centre of Educational Planning and Policy, Faculty of Education, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
IJERPH, 2021, vol. 18, issue 12, 1-20
Abstract:
Background: The International Baccalaureate Middle Years Programme (IBMYP) aims to produce a holistic transformation with creative and critically minded students. However, very little attention has been paid to the development of an instrument to measure the IB learner profile with good psychometric properties. Purpose: This study aims to develop an instrument with good psychometric properties, based on the Rasch measurement model and confirmatory factor analysis. Methods: The study consists of two phases of pilot and field studies involving 597 year four students from IBWS MOE. Results: The findings from the Rasch measurement model analysis have shown that 54 items meet the criteria of the item fit, unidimensionality, and reliability index. Meanwhile, confirmatory factor analysis found that 44 items have shown a valid item fit index. Conclusions: The combination of both analyses has shown the strength of 10IBLP-I psychometric properties that cover the aspects of validity and reliability. The findings also provide an implication to the theory, with empirical evidence that the IB learner profile consists of 10 constructs. Besides, the evidenced 10IBLP-I comprises good psychometric properties, which can be used to measure the level of IB learner profile among IBWS MOE students to assess the effectiveness of the implementation of IBMYP in Malaysia.
Keywords: instrument development; 10 IB learner profile instrument (10IBLP-I); psychometric; Rasch measurement model; confirmatory factor analysis; validity and reliability (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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