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Data · dataset · 2025

The Dual Pathways of Proportional Reasoning on Mathematics Achievement: The Mediating Role of Whole Number Arithmetic and Latent Profile Analysis

Listed in Teesside University Research Data Repository

Research Hypothesis: We hypothesized that proportional reasoning (PR) directly supports general math achievement (GMA) and indirectly through whole-number arithmetic (WNA).

Description

We also expected to find distinct student subgroups with different performance profiles. Data & Methodology: Data was gathered from 123 second-graders (age ~7.9) in China.

Participants completed three tasks: A computer-based proportional reasoning task (choosing equivalent ratios). A paper-and-pencil whole-number arithmetic test. A comprehensive general math achievement test.

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We used path analysis to test the mediation model and latent profile analysis (LPA) to identify subgroups. Notable Findings: Dual Pathways: Path analysis confirmed our model. PR had a significant direct effect on GMA (β = 0.328, p<.001) and a significant indirect effect via WNA (β = 0.143, p=.005).

The model explained 47% of the variance in math achievement. Two Subgroups: LPA identified two distinct profiles: High-Performers (95%): Strong, balanced skills across all areas. Low-Performers (5%): Showed significant difficulties in PR, WNA, and GMA.

Interpretation & Use: Proportional reasoning is a foundational skill that boosts math achievement directly and by enhancing arithmetic. The small but distinct low-performing group highlights the need for early identification and intervention to address broad mathematical difficulties, potentially linked to a "whole number bias." Educators should integrate proportional concepts early into instruction using visual and contextualized examples.

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