Pre-test and Post-test Scores for 90 Freshman Students in Athletic Study

Figshare hosts a dataset for within-group comparison of pre-test and post-test scores. The data involves 90 freshman students and examines the impact of blended learning approaches, including mobile applications and guided extracurricular training, on basic athletic abilities. It was authored by Xilin Liang and last updated in March 2026.

Use Cases

• Analyze the Significant Difference between pre-test and post-test scores for the Control Group and Treatment Group.
• Evaluate the effect of Integrating Mobile Applications on Described Exercise Motivation scores over a Week Period.
• Compare Basic Athletic Abilities improvement between students Following Traditional Instruction and those in Guided Extracurricular Training.

Strengths

• Dataset is licensed under CC BY 4.0, allowing for flexible reuse and sharing.
• Focuses on a specific cohort of 90 freshman students for a controlled study.
• Explicitly tags key study elements like Treatment Group, Control Group, and Significant Difference for clear identification.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope and potentially few variables or records.
• No column names or sample data are provided, making the exact structure and available features unknown.
• The description is minimal, offering little context on the specific tests, scoring methods, or full study design.

Provenance

Source

Figshare, authored by Xilin Liang.

Collection Method

Likely collected from an educational study involving pre- and post-test assessments of athletic abilities.

Freshness

Last updated on 2026-03-23.