IST:622 Term 4
Week 2 Objectives
- Use and interpret inferential statistics when needed
- Recognize differences between various evaluation models
- Choose an appropriate evaluation model for a given project
- Video: How to calculate Chi-Square two Way Test.
- Reading Assignments
- Russ-Eft & Preskill: Chap 3 & 12
- Kirkpatrick's: Chap 4 - 7
- Inferential Statistics- Lectures (See Accordion Below)
Assignments
Lab Exercise: Chi-Square Test
Lecture Notes
- Descriptive Statistics- provide basic measurement of a distribution of scores
- Inferential Statistics- allow inferences to a larger population from the sample
- Hypothesis Testing-
- Sampling Error-
- Research Hypothesis
- non directional research hypothesis
- directional research hypothesis
- P-Values- is the probability of obtaining a value of the test statistic equal to or more extreme than observed, given that the null hypothesis is true
- Practical Significance- occurs when a research finding reveals something meaningful about what is being studied.
- Degree of Freedom (DF)
- Critical Values
- Chi-Square Test
- Chi-Square Formula- The Chi-Square is 34.32. Te degree of freedom is 3 (the number of categories minus one, df=n-1, n is the number of categories in this case).
- Chi-Square Value Table- Critical Values of the Chi-Square Distribution