Curriculum Based Measurement¶

Strategy · All strategies
Evidence · 3 claims (3 for) · 7 studies (4 quant-synthesis, 2 review, 1 causal), q2–q4 · 4 of 7 report an effect size

Description¶

Curriculum Based Measurement (CBM) is a set of standardized, brief (1–5 minute) fluency-based probes sampled from the annual curriculum — oral reading, math computation, spelling, writing — administered repeatedly (weekly or biweekly) to index student growth over time. Scores are graphed against an aim line so teachers can judge whether current instruction is sufficient or needs adjustment, making CBM a progress-monitoring tool rather than a one-shot test.

Design Implications¶

CBM operationalizes Assessment for Learning: frequent low-stakes data turns measurement into an instructional decision system rather than a summative judgment Frequent formative assessment improves achievement. [+S]. Its power comes from the decision rule, not the probe itself — teachers must compare graphed progress against a goal and change instruction when the trend falls short; monitoring without decision rules produces little benefit Feedback and data are most effective when they specify what to change at task and process levels. [+S].

Context¶

Requirements¶

• Standardized probe sets with equivalent difficulty, drawn from the actual curriculum taught across the year
• A baseline (3+ probes) and an annual goal to define the aim line
• A graphing and trend-analysis routine (paper or software such as AIMSweb or FastBridge)
• Explicit decision rules: e.g., if 4 consecutive points fall below the aim line, adjust instruction
• Time protected in the schedule for repeated administration and data review

Constraints¶

• Fluency probes capture speed and accuracy on constrained skills; they under-measure comprehension depth, reasoning, and transfer [~M]
• If teachers collect data but lack time, training, or authority to change instruction, CBM becomes documentation without benefit [-M]
• Probes sampled from a weak or misaligned curriculum faithfully measure the wrong things [-M]
• Over-reliance on trend lines can narrow instruction toward what the probe counts (teaching to the probe) [~M]

Implementation Variability¶

• CBM-I (CBM with instructional recommendations): probes are followed by skill analysis that suggests specific instructional changes — stronger effects than graphing alone
• Classroom-wide screening: monthly probes for all students to identify risk early, versus intensive weekly monitoring only for students in intervention
• Computer-administered CBM (AIMSweb, FastBridge, easyCBM) reduces administration burden and automates trend lines
• Student-graphed CBM: learners plot their own scores, adding a self-regulation component

Target Learners¶

• Struggling learners and students with disabilities in Tier 2/3 intervention, where weekly data drives instructional adjustment [+S]
• Early elementary students acquiring foundational skills (reading fluency, number sense), where fluency probes are most valid
• Less appropriate as a sole measure for advanced learners or complex, open-ended goals [~M]

Target Learning Goals¶

• Foundational skill fluency: decoding, math facts, spelling, writing output
• Growth monitoring toward annual, criterion-referenced goals
• Self-regulated learning when students graph and interpret their own progress

Instructions¶

1. Identify the annual curricular outcome and select a standardized probe family sampling it across the year.
2. Administer 3 baseline probes; set an end-of-year goal and draw the aim line on the graph.
3. Probe weekly (or biweekly), score with standardized rules, and plot each point.
4. Apply decision rules: above aim line — continue; below — analyze error patterns and adjust instruction (e.g., add Direct Instruction routines or increase Practice opportunities).
5. Review graphs with the student, moving toward student-managed graphing as responsibility fades Fading support promotes transfer of responsibility. [+M].

Related Strategies¶

• Formative assessment cycles — CBM is a specialized, high-frequency form of the assess-adjust loop
• Mastery-based progression — CBM data can gate advancement decisions
• Use one-minute timed grade-level passages to monitor oral reading fluency progress
• Combine formative assessment information with MAP Growth scores for instructional decisions

Examples¶

• AIMSweb / FastBridge (Pearson/Renaissance) — commercial CBM systems with digital probes, automated graphing, and norm comparisons (https://www.fastbridge.org)
• easyCBM (University of Oregon) — free and paid CBM screening and progress-monitoring tools (https://easyCBM.com)
• DIBELS — fluency-based early-literacy measures used in the same progress-monitoring role (https://dibels.uoregon.edu)
• A Grade 2 reading interventionist probes oral reading fluency weekly, graphs each student against the aim line, and regroups students whose 4-point trend falls below goal.

Key Sources¶

• Deno, S. L. (1985). Curriculum-based measurement: The emerging alternative. Exceptional Children, 52(3), 219–232. doi:10.1177/001440298505200303
• Stecker, P. M., Fuchs, D., & Fuchs, L. S. (2005). Using curriculum-based measurement to improve student achievement: Review of research. Psychology in the Schools, 42(8), 795–819. doi:10.1002/pits.20113
• Fuchs, L. S., & Fuchs, D. (2006). Introduction to curriculum-based measurement. In What every teacher should know about... (Pearson).
• Wayman, M. M., Wallace, T., Wiley, H. I., Tichá, R., & Espin, C. A. (2007). Literature synthesis on curriculum-based measurement in reading. Journal of Special Education, 41(2), 85–120. doi:10.1177/00224669070410020401