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

From Wikiversity
Jump to navigation Jump to search

Lecture 09: Power & effect sizes

Nuvola apps edu languages.svg 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.


Information

This page is complete for 2018.

Nuvola filesystems socket.png

Outline[edit]

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]

Readings[edit]

  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]

See also[edit]

External links[edit]

Power calculators