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Correlations02:20

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Related Experiment Video

Updated: May 9, 2026

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

Published on: September 11, 2021

Evidence-based programs for schools: relationships between effect sizes and resource requirements.

Joelle D Powers1, Aaron M Thompson

  • 1School of Social Work, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. jdpowers@email.unc.edu

Journal of Evidence-Based Social Work
|July 25, 2013
PubMed
Summary
This summary is machine-generated.

Schools often assume expensive, evidence-based programs yield better results. This study found the opposite: higher resource needs correlated with smaller effects in educational interventions.

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Area of Science:

  • Educational Psychology
  • Program Evaluation

Background:

  • Schools often seek evidence-based programs for improved student outcomes.
  • A common assumption is that higher-cost interventions lead to greater effects.

Purpose of the Study:

  • To investigate the relationship between resource requirements and effect sizes of evidence-based programs.
  • To inform school practitioners' decisions regarding intervention selection.

Main Methods:

  • Analysis of 51 evidence-based programs.
  • Calculation of range and mean resource requirements for each program.
  • Comparison of resource needs with program effect sizes.

Main Results:

  • Contrary to intuition, programs with higher resource requirements exhibited smaller effect sizes.
  • No positive correlation was found between program cost/resource needs and student outcome gains.

Conclusions:

  • The intuitive link between higher resource investment and greater program effectiveness is not supported by empirical data.
  • Practitioners should critically evaluate resource demands relative to expected outcomes when selecting interventions.