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Unformatted text preview: 1 Hypothesis Testing Steps for Hypothesis Testing 1. H 1 and H 2. Determining the nature of the dependent variable 3. Choosing the appropriate test statistic 4. Setting Type I & Type II error rates 5. Determining sample size 6. Collecting data 7. Conducting appropriate statistical tests 8. Calculate observed effect sizes 9. Decision Making Step #3: Choosing the Appropriate Test Statistic • This determines the null hypothesis distribution. • For example: – Correlation (r) = interval/ratio data (no “true” IV) – Chi-Square = nominal data – ANOVA = interval/ratio data (2+ means) What Type of Test? One IV 2 Groups One IV > 2 groups > Two IV Nominal Data Ratio/Interval Data Independent t-test Dependent t-test Chi-Square Test of Association Nominal Data One-way ANOVA Interval/Ratio Data Chi-Square Test of Association One-way ANOVA Nominal Data Interval/Ratio Data Chi-Square Test of Association Two-way ANOVA Depends on # of IVs & Measurement Scale 2 Example of different null hypothesis...
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- Spring '08
- Statistics, #, Statistical hypothesis testing, Statistical significance, Type I and type II errors, Statistical power