Chapter 15 Flashcards
No observed difference between groups
Null
There is a difference between groups
Alternative
Whether the observed differences between the two or more groups are real or not, or whether they are chance occurances
Statistical significance
Reject the null when it is actually true (false positive)
Type 1 error
Fail to reject false null (false positive)
Type II error
Measures the association between two nominal and/or ordinal variable
Chi-Square
Studies group differences when the dependent variables involve interval or ratio data
t-test
Most commonly used to study differences between more than two groups
ANOVA
Explore relations among 3+ variables and can help determine independent effects
Multivariate Analyses
Eight methods of interpreting data
- have our objectives been achieved
- have ethic been violated
- have needs been met
- what is value
- what do my peers think
- how does data compare to previous work
- how do observations compare to expectations
- did measure impact findings
Incorporated into a final report presented to stakeholders
evaluation report
