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    Intention to dropout and study satisfaction: Testing item bias and structural invariance of measures for South African first-year university students

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    Mostert_K. et al_2023.pdf (2.142Mb)
    Date
    2023
    Author
    Mostert, Karina
    Van Rensburg, Clarisse
    Machaba, Reitumetse
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    Abstract
    Purpose – This study examined the psychometric properties of intention to drop out and study satisfaction measures for first-year South African students. The factorial validity, item bias, measurement invariance and reliability were tested. Design/methodology/approach – A cross-sectional design was used. For the study on intention to drop out, 1,820 first-year students participated, whilst 780 first-year students participated in the study on satisfaction with studies. Confirmatory factor analysis (CFA), differential item functioning (DIF), measurement invariance and internal consistency were used to test the scales. Findings – A one-factor structure was confirmed for both scales. For the intention to drop out scale, Items 3 and 4 were identified with statistically significant item bias; however, these differences had no practical impact. Except for scalar invariance for language, sufficient measurement invariance was established. No problematic items were identified for the study satisfaction scale. Practical implications – In essence, this study provides evidence of two short measures that are culturally sensitive that could be used as short and valid measures across contextual boundaries as practically valuable tools to measure intention to drop out and study satisfaction in diverse and multicultural contexts. Originality/value – This study contributes to limited research on bias and invariance analyses for scales that can be used in interventions to identify students at risk of leaving the university and utilising psychometric analyses to ensure the applicability of these two scales in diverse and multicultural settings.
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    http://hdl.handle.net/10394/42570
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    • Faculty of Economic and Management Sciences [1428]

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