Checklist 5: reporting missing data and descriptive statistics¶

Element · All elements
Evidence · no claims cited

Description¶

The fifth checklist covers "missing data and descriptive statistics," prompting researchers to report how much data were missing and to provide descriptive statistics for their measures. As the final component of the brief's five-checklist framework, it addresses the baseline statistical information readers need to interpret the measures reported in an education research study.

Design Implications¶

Context¶

Requirements¶

• Descriptive statistics and missing data information must be computed for the study's measures

Constraints¶

Target Learners¶

• education researchers preparing reports of studies using measures

Target Learning Goals¶

• complete reporting of missing data and descriptive statistics

Affordances¶

• Five Checklist Measures Reporting Guide

Claims¶

Related Elements¶

• Checklist 2: reporting data collection training and quality
• Checklist 1: describing the study's measures
• Checklist 3: reporting reference population, study sample, and measurement timing
• Checklist 4: reporting evidence of reliability and construct validity

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