Cognitive Model Revision Data for Middle School Chemistry, 752 Students

A 216 KB PDF document published on figshare in May 2026 by Shiwei Lin. It describes a mixed-method study revising a cognitive model for middle school chemistry content using structural equation modeling. The analysis is based on valid response data from 752 students.

Use Cases

• Evaluating cognitive model fit based on student response data
• Applying structural equation modeling techniques for educational assessment
• Comparing qualitative and quantitative approaches to model revision
• Studying the disciplinary connotation of 'Composition and Structure of Substances' in chemistry education

Strengths

• The study incorporates expert judgments on disciplinary connotations, avoiding purely data-driven bias
• The dataset size is explicitly stated as 752 student responses
• The revision method is described as achieving improved model fit

Limitations

• The dataset is a PDF document (216 KB), not a raw data file; actual data tables are not provided
• Row count and column-level documentation are unknown, limiting suitability assessment
• The description notes drawbacks related to measurement error and sample generalizability

Provenance

Source

figshare

Collection Method

Mixed-method structural equation modeling analysis of student response data

Freshness

Last updated 2026-05-18 05:43:07