Related Experiment Video
Updated: Oct 6, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
Published on: September 11, 2021
Mastery measurement in mathematics and the goldilocks effect
Benjamin G Solomon1, Amanda M VanDerHeyden2, Emily C Solomon2
1Division of School Psychology.
This study confirms the reliability of math curriculum-based measurement (CBM) mastery measures. Short assessments (1-4 minutes) provide dependable data for student screening and educational support.
Area of Science:
- Educational Measurement
- Psychometrics
- Mathematics Education
Background:
- Curriculum-based measurement (CBM) is vital for educational decision-making, yet its reliability in mathematics requires further investigation, especially using advanced methods like generalizability (G) theory.
- Existing research on math CBM reliability is limited, particularly concerning mastery measures and diverse student populations.
- This study addresses the need for rigorous reliability analysis of math CBM, focusing on mastery measures across various grade levels.
Purpose of the Study:
- To investigate the generalizability and dependability of math mastery measure CBMs using rigorous methods.
- To extend prior research by including new grade levels, advanced math content, and novel methodological approaches.
- To evaluate the impact of different scoring methods and examine potential biases related to race and sex.
Main Methods:
- Conducted 17 concurrent generalizability (G) and dependability studies using a partially crossed design.
- Assessed 263 students in Grades K, 1, 3, 5, and 7, employing generated math measures.
- Analyzed score variance, probe form effects, replication across days, and reliability coefficients (G coefficients).
Main Results:
- Student-level variance was the primary contributor to overall score variance.
- Probe form effects explained less than 5% of the variance for most measures, with results showing consistency across days.
- Generalizability (G) coefficients surpassed .75 on the first trial for 14 out of 17 measures, indicating high reliability.
- Reliability thresholds were met with assessments as short as 1-4 minutes.
Conclusions:
- Math CBM mastery measures demonstrate strong reliability and dependability.
- The findings support the use of math CBM mastery measures as a precise tool for screening and multi-tiered systems of support.
- Short assessment durations are sufficient to achieve acceptable reliability levels for math CBM.
Related Concept Videos
Uncertainty in Measurement: Accuracy and Precision
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Ratio Level of Measurement
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
Uncertainty in Measurement: Reading Instruments
Interval Level of Measurement
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
Measures of Intelligence
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...

