PISA 2022 Ireland Student Data: ANOVA Results by Socioeconomic Status

5,521 student records from Ireland's PISA 2022 assessment form the basis for a moderated mediation analysis of mathematical problem-solving ability. The dataset, created by Yongzhao Wang and last updated in March 2026, contains results from a one-way ANOVA examining heterogeneity across economic, social, and cultural status (ESCS). It supports the study's findings on how intellectual curiosity, self-efficacy, and perseverance interact to influence math performance.

Use Cases

• Replicate the moderated mediation analysis of intellectual curiosity, self-efficacy, and perseverance on math problem-solving ability.
• Conduct multi-group analysis to examine gender-based heterogeneity in the psychological pathways to math performance.
• Investigate differences in learning mechanisms between students with high and low economic, social, and cultural status (ESCS).
• Validate findings related to self-determination theory and social cognitive theory within a standardized educational assessment context.

Strengths

• Data is sourced from the standardized PISA 2022 assessment, providing a consistent measurement framework.
• The analysis is based on a sample of 5,521 students from Ireland, offering a national-scale perspective.
• Specific statistical results are reported, such as a 45.40% indirect effect of intellectual curiosity through self-efficacy.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.
• The dataset is very small at 5.5 KB, indicating it likely contains summary or processed results rather than raw student-level data.

Provenance

Source

PISA 2022 data from Ireland.

Collection Method

Likely contains processed statistical results (ANOVA) derived from the original PISA assessment data.

Time Range

2022

Freshness

Last updated 2026-03-19 17:39:07; freshness should be verified.

Geography

Ireland