Examine Relationships Slide 2 What do you want to do? Description Evaluate Differences Examine Relationships

Purpose of the Evaluation--Description Return to Slide 2 Purpose of the Evaluation--Description Description Individuals Samples Populations

What level of Measurement Return to Slide 3 Describe Individuals What level of Measurement Nominal Category of Membership Ordinal Rank Order Scale Percentiles, z scores

Description of Samples Return to Slide 3 Description of Samples What Level of Measurement Nominal Percentages or Proportions, Mode Scale Central Tendency Mean, Median Data Variability Range, Variance, Standard Deviation

Description of Populations Return to Slide 3 Description of Populations What Level of Measurement? Nominal Confidence Interval for Proportions Scale Confidence interval for the mean

Purpose of the Analysis: Evaluate Differences How many samples? One Two Three or more

Purpose of the Analysis – Evaluate differences Return to Slide 2 Purpose of the Analysis – Evaluate differences Evaluate Differences One Sample Two Samples Three or more Samples

Purpose of the Analysis – Evaluate differences for One Sample Return to Slide 8 Purpose of the Analysis – Evaluate differences for One Sample Evaluate Differences (One Sample) For nominal data: Data: Chi Square Goodness of Fit For scale data: One-sample t test

Purpose of the Analysis – Evaluate Differences for Two Samples Return to Slide 8 Purpose of the Analysis – Evaluate Differences for Two Samples Evaluate Differences (Two Samples) Independent Samples? Dependent or Correlated Samples?

Difference Between Two Independent Samples Return to Slide 10 Difference Between Two Independent Samples Level of Measurement Nominal Chi-square test Ordinal Mann-Whitney U Scale Independent Samples t test

Difference Between Two DEependent Samples Return to Slide 10 Difference Between Two DEependent Samples Level of Measurement Ordinal Wilcoxon T test Scale Dependent Samples t test

For Ordinal Data: Kruskal-Wallis One-way ANOVA Return to slide 8 Three or More Samples How many variables? One Independent Samples For Ordinal Data: Kruskal-Wallis One-way ANOVA For Scale Data: ANOVA Dependent Samples One-Way ANOVA Two or More Factorial ANOVA

Purpose of the Analysis—Examine Relationships Return to Slide 2 Purpose of the Analysis—Examine Relationships Examine Relationships Nominal Data Chi-Square Test of Association Ordinal Data Spearman Rank-Order Correlation Scale Pearson Product Moment Correlation Mixed Data

Examine Relationships: Mixed Data Types Return to Slide 14 Examine Relationships: Mixed Data Types What type of mixed data? Nominal and Ordinal Two Categories For Independent Sample: Mann-Whitney U Test. For Dependent Samples: Wilcoxon T Test Three or More Categories Kruskal-Wallis One-Way ANOVA Nominal and Scale Independent Samples t test; Dependent Samples t test Ordinal and Scale For Independent Samples: One-Way ANOVA or Factorial ANOVA For Dependent Samples: Repeated-Measures ANOVA