How studies are labeled
Study labelMeaning
Randomized trialStudents, classes, or schools assigned by chance. The strongest single-study design.
Lottery studyAdmission by lottery, which works like random assignment for those who applied.
Meta-analysisA combined analysis of many studies; only as strong as the studies inside it.
Comparison studyGroups compared without random assignment. Useful, but differences may come from who chose what.
Lab studyControlled experiment outside a regular classroom. Explains why; doesn't prove it works at scale.
CorrelationTwo things move together. Shows a link, never cause. Used only for "why it matters."
StudyDesignWhoCompared withFoundLimits
Nickow, Oreopoulos & Quan 2024(opens in a new tab)Meta-analysis of randomized trials89 trials, preK–12No tutoring0.29 SD average; largest with teachers or aides, early grades, 3+ days a week, during schoolMostly pre-pandemic, smaller programs
Guryan et al. 2023(opens in a new tab)Two randomized trials9th and 10th graders, Chicago; about 2,600 and 2,700 studentsBusiness as usualMath scores up 0.18 to 0.40 SD for participants; effects lasted into later yearsHigh school math only; one city
Kraft et al. 2024 (Nashville)(opens in a new tab)Experimental and quasi-experimental, at scaleOver 6,800 students across three yearsStudents not tutored, often getting other small-group helpReading up 0.04 to 0.09 SD; no average effect in math or gradesMany sessions before or after school; program changing as it scaled

The scale-up warning. Nashville is the honest counterweight. The authors suggest the gains were smaller partly because control students were also getting extra help, sessions were short-term, and expectations built on small studies were too high (Kraft et al.(opens in a new tab)). Schools should copy the design rules in the playbook, not just the label "tutoring."

What we don't know yet

How to keep the effects of small, well-run programs when serving thousands of students; how well virtual tutoring compares.

Change log

  1. First published.

3 studies behind this page

Sources

  1. Nickow, Oreopoulos & Quan 2024 (opens in a new tab)

    nssa.stanford.edu

  2. Guryan et al. 2023 (opens in a new tab)

    voices.uchicago.edu

  3. Kraft et al. 2024 (Nashville) (opens in a new tab)

    edworkingpapers.com