Click on the following links. Please note these will open in a new window.

Video Links

• Type I Errors, Type II Errors, and the Power of the Test
  YouTube video discussing power and the types of error in hypothesis testing
• How to Calculate Cohen's d 
  YouTube video detailing how to calculate and interpret the effect size for t-tests using Cohen’s d
• YouTube video tutorial (2-part) conducting Chi-square analysis and calculating Cramer’s V on example data in SPSS
  • Part I
  • Part II

Audio Links

• Null Hypothesis  
  Sometimes the best explanation is no explanation at all. Looking at the null hypothesis: the zeroth law of the scientific method, and why some questions asked don't need answers
• Null Hypothesis Testing 
  Probability, null hypothesis testing including what constitutes a correct decision, a Type 1 error and a Type 2 error. Discussed p values, their meaning and interpretation and the relationship between p values, alpha and Type 1 errors. Also discussed how p value relates to statistical significance and to marginally significant p values.
• Power and Effect Size
  Discusses relationship between Type 2 errors, beta and power. Included in the discussion of power are the ways of increasing power and the advantages and disadvantages of each method. Concludes with a discussion of effect size, what it means and the relationship between power, effect size and sample size.

Web Resources:

• Null Hypothesis Definition
  4-part description of null hypotheses
• Choosing Between Nonparametric or Parametric Tests 
  Describes nonparametric and parametric tests and under which circumstances you would use each one
• Understanding Confidence Intervals and Effect Size Estimation
  This Association for Psychological Science article describes CI’s and Effect sizes