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All Journal JPMI (Jurnal Pembelajaran Matematika Inovatif) Conference Proceedings International Conference on Education Innovation and Social Science
Filiestianto, Gerry
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Education Mathematics Social Sciences

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Unveiling Causal Complexity in Mathematics Achievement: A Research Design using Fuzzy-Set Qualitative Comparative Analysis (FS/QCA) Filiestianto, Gerry
Proceedings International Conference on Education Innovation and Social Science 2025: Proceedings International Conference on Education Innovation and Social Science
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Mathematics achievement is a critical indicator of educational success and a key determinant for future STEM careers. However, national assessments in Indonesia reveal persistent challenges and significant learning gaps in student numeracy. Existing research has identified a multitude of influencing factors, yet predominantly relies on linear models (e.g., regression, SEM) that estimate the 'net effect' of each variable in isolation. This approach overlooks the complex causal configurations where different factors interact synergistically. This paper addresses this methodological gap by proposing a research design that employs fuzzy-set Qualitative Comparative Analysis (fs/QCA). The study will utilize secondary data from the Indonesian National Assessment to analyze how combinations of school, family, and student-level conditions lead to high mathematics achievement. The expected contribution is the identification of multiple, distinct pathways-or 'causal recipes'-to success, offering a more nuanced foundation for developing targeted and context-specific educational policies.
Mengungkap kompleksitas kausal: Tinjauan sistematis dan kritik terhadap pendekatan linear dalam penelitian prestasi matematika Filiestianto, Gerry; Kusumah, Yaya Sukjaya
JPMI (Jurnal Pembelajaran Matematika Inovatif) Vol. 8 No. 6 (2025): JPMI
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jpmi.v8i6.28747

Abstract

However, the current body of research is dominated by linear approaches that possess a limited capacity to uncover how various factors interact in complex ways. This study aims to address this need through a Systematic Literature Review. The methodology followed the PRISMA 2020 guidelines, involving a systematic search of the Scopus and Google Scholar databases, which resulted in 40 core studies for final synthesis. The findings reveal that student-internal psychological and affective variables are the most dominant focus of current research. Methodologically, the field heavily relies on quantitative approaches, particularly Structural Equation Modeling (SEM). The most significant finding is a consistent research gap regarding the lack of understanding of the complex, configurational interactions among multiple factors, as most studies employ linear-based analyses. This review concludes that there is an urgent need for research using configurational approaches, such as fs/QCA, to uncover the multiple causal pathways to mathematics achievement. The primary contribution of this study is the presentation of a critical framework that offers a configurational perspective as an alternative to linear models for a more holistic understanding of student success.
Co-Authors Yaya S. Kusumah