Survey research and design in psychology/Lectures/Power & effect sizes

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Lecture 09: Power & effect sizes

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This is the ninth lecture for the Survey research and design in psychology unit of study.

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Outline[edit | edit source]

Explains use of, and issues involved in:

  1. significance testing
  2. inferential decision making
  3. statistical power
  4. effect sizes
  5. confidence intervals
  6. publication bias
  7. academic integrity

Conclusions[edit | edit source]

Readings[edit | edit source]

  1. Howitt and Cramer (2014a):
    1. Chapter 35: The size of effects in statistical analysis: Do my findings matter? (pp. 487-494)
    2. Chapter 36: Meta-analysis: Combining and exploring statistical findings from previous research (pp. 495-514)
    3. Chapter 38: Confidence intervals (pp. 529-539)
    4. Chapter 40: Statistical power: Getting the sample size right (pp. 562-586)
  2. Wilkinson, L., & APA Task Force on Statistical Inference. (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594-604.

Handout[edit | edit source]

See also[edit | edit source]

External links[edit | edit source]

Power calculators