NUMERICAL (Jurnal Matematika dan Pendidikan Matematika)
Vol. 10 No. 1 (2026)

Model Regresi Moderasi pada Hubungan Kecemasan Matematika dan Kompetensi Statistika Mahasiswa

Yusrina Nur Dianati (Universitas Islam Negeri Salatiga)
Dewi Kurnia Sari (Politeknik Kesehatan Wira Husada Nusantara Malang)
Dewi Susanawati (Universitas Darunnajah)



Article Info

Publish Date
02 Jun 2026

Abstract

This research aims to examine the effect of mathematics anxiety on students’ statistical competence, the influence of mathematics self-efficacy on statistical competence, and the moderating role of self-efficacy in the relationship between these two variables. The study employed a quantitative approach with an explanatory research design. The participants consisted of 93 undergraduate students enrolled in a statistics course in a mathematics education program. Data were collected using a Likert-scale questionnaire and analyzed through Moderated Regression Analysis (MRA) with mean-centering and bootstrapping techniques. The findings indicate that mathematics anxiety does not have a significant direct effect on statistical competence, whereas mathematics self-efficacy has a positive and significant effect. Furthermore, self-efficacy significantly moderates the relationship between mathematics anxiety and statistical competence by weakening the negative impact of anxiety. These results suggest that self-efficacy functions as a protective factor in statistics learning. Therefore, strengthening students’ self-efficacy should be a key consideration in designing effective statistics instruction.

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