Survey research and design in psychology/Lectures/Power & effect sizes
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Lecture 09: Power & effect sizes
Resource type: this resource contains a lecture or lecture notes. |
This is the ninth lecture for the Survey research and design in psychology unit of study.
Outline
Explains use of, and issues involved in,
- significance testing
- inferential decision making
- statistical power
- effect sizes
- confidence intervals
- publication bias
- academic integrity
The lecture resources include presentation slides, and sometimes additional notes.
Conclusions
- Decide on H0 and H1 (1 or 2 tailed)
- Calculate power beforehand and adjust the design to detect a minimum effect size (ES)
- Report statistical power, statistical significance, ES, confidence interval
- Compare results with meta-analyses and/or meaningful benchmarks
- Take a balanced, critical approach, striving for objectivity and academic integrity
Readings
- Howitt and Cramer (2011a):
- Chapter 34: The size of effects in statistical analysis: Do my findings matter? (pp. 419-425)
- Chapter 35: Meta-analysis: Combining and exploring statistical findings from previous research (pp. 426-441)
- Chapter 37: Confidence intervals (pp. 455-464)
- Chapter 39: Statistical power: Getting the sample size right (pp. 486-507)
- Howitt and Cramer (2014a):
- Chapter 35: The size of effects in statistical analysis: Do my findings matter? (pp. 487-494)
- Chapter 36: Meta-analysis: Combining and exploring statistical findings from previous research (pp. 495-514)
- Chapter 38: Confidence intervals (pp. 529-539)
- Chapter 40: Statistical power: Getting the sample size right (pp. 562-586)
- Wilkinson, L., & APA Task Force on Statistical Inference. (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594-604.
Handout
- 2015 handouts:
See also
- Multiple linear regression II (Previous lecture)
- Summary & conclusion (Next lecture)
- Funnel plot (Wikipedia)
External links
- Lecture slides (slideshare)
- p values and statistical significance (A New View of Statistics]
- Statistical power analysis quiz (Practice) (Howitt & Cramer, 2011)