Effect Size
Research seeks to identify effects in the sense of a relationship in the data. Effects are usefully described in terms of their size and their likelihood of being observed in further samples from the same population. Effect sizes are independent of sample size, unlike tests of statistical significance. Although tests of significance usually focus on whether an observed statistical value is likely to be greater than zero in the population from which a sample was chosen, effect sizes are a summary of the observed relationship in sample data.
Effect sizes are interpreted in the light of their potential importance—even a small effect is important if it may save or markedly improve lives. In general, though, larger effects have more impact and so are seen as more ...
Looks like you do not have access to this content.
Reader's Guide
Assessment
Cognitive and Affective Variables
Data Visualization Methods
Disabilities and Disorders
Distributions
Educational Policies
Evaluation Concepts
Evaluation Designs
Human Development
Instrument Development
Organizations and Government Agencies
Professional Issues
Publishing
Qualitative Research
Research Concepts
Research Designs
Research Methods
Research Tools
Social and Ethical Issues
Social Network Analysis
Statistics
Teaching and Learning
Theories and Conceptual Frameworks
Threats to Research Validity
- All
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z