Self-Efficacy, Numerical Literacy, and Problem-Solving Skills in Statistics: A Quantitative Study in Jayapura
DOI:
https://doi.org/10.56393/melior.v5i2.3662Keywords:
Problem Solving, Statistics, Self-Efficacy, Numerical Literacy, Development EconomicsAbstract
Problem-solving skills in statistics are crucial for development economics students as a foundation for analytical thinking and evidence-based decision-making. This study analyzes students’ problem-solving abilities and examines the influence of two internal factors: self-efficacy and numerical literacy. Using a descriptive quantitative approach with inferential analysis through SEM-PLS assisted by SmartPLS 4, data were collected from 200 purposively selected students in the third to fifth semesters. Instruments included a problem-solving test based on Pólya’s four-step model, a Likert-scale questionnaire, and limited interviews to complement the findings. Results show that self-efficacy (β = 0.244; p < 0.01) and numerical literacy (β = 0.186; p < 0.05) significantly influence problem-solving skills, while the R² value (0.119) indicates that other factors also play a role. These results align with Bandura’s (1997) Social Cognitive Theory, emphasizing that belief systems affect effort and cognitive performance. This study integrates affective (self-efficacy) and cognitive (numerical literacy) factors in one analytical framework, which remains underexplored in Development Economics education. The novelty lies in mapping both psychological and cognitive predictors of problem-solving simultaneously. Practically, the study recommends contextual, problem-based learning, the integration of statistical software (SPSS, Stata, R), and strategies to enhance students’ academic confidence. Overall, the findings contribute to improving statistical education aligned with Sustainable Development Goals (SDG 4 – Quality Education and SDG 8 – Inclusive Economic Growth) and strengthening students’ readiness for digital transformation and data-driven policy environments
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