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Related Concept Videos

One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Group Design02:01

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
One-Way ANOVA: Unequal Sample Sizes01:15

One-Way ANOVA: Unequal Sample Sizes

One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.

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Related Experiment Video

Updated: Jun 4, 2026

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

How consistent are class size effects?

Spyros Konstantopoulos1

  • 1Program in Measurement and Quantitative Methods, 450 Erickson Hall, College of Education, Michigan State University, East Lansing, MI 48824, USA. spyros@msu.edu

Evaluation Review
|March 3, 2011
PubMed
Summary

Small class sizes benefit students in many schools, but effects vary significantly by school. This study analyzed Project STAR data, finding inconsistent small class impacts across different schools and grades.

Area of Science:

  • Education
  • Educational Psychology
  • Class Size Research

Background:

  • Previous research primarily focused on average achievement differences between small and large classes.
  • The impact of class size on student achievement can vary significantly across different school contexts.

Purpose of the Study:

  • To examine the distribution and inconsistency of small class effects at the school level.
  • To investigate the school-specific variation in the impact of small classes on student achievement.

Main Methods:

  • Utilized data from Project STAR, a large-scale educational study.
  • Estimated school-specific small class effects for mathematics and reading scores (K-3).
  • Calculated an overall weighted average of school-specific estimates.

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Main Results:

  • A significant proportion of schools showed positive small class effects.
  • However, some schools exhibited neutral or negative effects of small classes.
  • Small class effects were inconsistent across schools and grades, indicating a class size by school interaction.

Conclusions:

  • The benefits of small classes are not uniform and depend on the specific school environment.
  • There is substantial variability in how small class sizes influence student academic performance.
  • Further research should explore the factors contributing to the school-level heterogeneity in small class effects.