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

3. Purpose of the Evaluation--Description
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Purpose of the Evaluation--Description
Description
Individuals
Samples
Populations

4. What level of Measurement
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Describe Individuals
What level of Measurement
Nominal
Category of Membership
Ordinal
Rank Order
Scale
Percentiles,
z scores

5. Description of Samples
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Description of Samples
What Level of Measurement
Nominal
Percentages or Proportions, Mode
Scale
Central Tendency
Mean, Median
Data Variability
Range, Variance, Standard Deviation

6. Description of Populations
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Description of Populations
What Level of Measurement?
Nominal
Confidence Interval for Proportions
Scale
Confidence interval for the mean

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

8. Purpose of the Analysis – Evaluate differences
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Purpose of the Analysis – Evaluate differences
Evaluate Differences
One Sample
Two Samples
Three or more Samples

9. Purpose of the Analysis – Evaluate differences for One Sample
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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

10. 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?

11. Difference Between Two Independent Samples
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Difference Between Two Independent Samples
Level of Measurement
Nominal
Chi-square test
Ordinal
Mann-Whitney U
Scale
Independent Samples t test

12. Difference Between Two DEependent Samples
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Difference Between Two DEependent Samples
Level of Measurement
Ordinal
Wilcoxon T test
Scale
Dependent Samples t test

13. For Ordinal Data: Kruskal-Wallis One-way ANOVA
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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

14. Purpose of the Analysis—Examine Relationships
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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

15. Examine Relationships: Mixed Data Types
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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