Checklist 4: reporting evidence of reliability and construct validity¶

Element · All elements
Evidence · no claims cited

Description¶

The fourth checklist prompts researchers to report "evidence of the reliability and construct validity of the measures." It directs authors to document the psychometric evidence supporting the measures used, so readers can judge whether scores are dependable and measure the intended constructs. It is the fourth component of the brief's five-checklist framework for complete reporting of education research measures.

Design Implications¶

Context¶

Requirements¶

• Reliability and validity evidence for the measures must be available to report

Constraints¶

Target Learners¶

• education researchers preparing reports of studies using measures

Target Learning Goals¶

• reporting reliability and construct validity evidence for measures

Affordances¶

• Five Checklist Measures Reporting Guide

Related Elements¶

• Checklist 2: reporting data collection training and quality
• Checklist 1: describing the study's measures
• Checklist 5: reporting missing data and descriptive statistics
• Checklist 3: reporting reference population, study sample, and measurement timing
• AMOVA Cluster Axiom for Manifold Consistency

Examples¶

• Use the checklists against a draft methods and results section to check completeness of reporting

Key Sources¶

• Kimberly Boller, Ellen Eliason Kisker. (2014). Reporting What Readers Need to Know About Education Research Measures: A Guide. Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance. https://www.mathematica.org/publications/reporting-what-readers-need-to-know-about-education-research-measures-a-guide