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IST:622 Term 4

Week 2 Objectives

1. Use and interpret inferential statistics when needed
2. Recognize differences between various evaluation models
3. Choose an appropriate evaluation model for a given project
4. Video:  How to calculate Chi-Square two Way Test.
5. Reading Assignments
   1. Russ-Eft & Preskill:  Chap 3 & 12
   2. Kirkpatrick's: Chap 4 - 7
   3. Inferential Statistics- Lectures (See Accordion Below)​​​​​
      

Assignments

Lab Exercise:  Chi-Square Test

Lecture Notes

1. Descriptive Statistics-  provide basic measurement of a distribution of scores
2. Inferential Statistics- allow inferences to a larger population from the sample
3. Hypothesis Testing- 
4. Sampling Error-
5. Research Hypothesis
   1. non directional research hypothesis
   2. directional research hypothesis 
6. 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
7. Practical Significance- occurs when a research finding reveals something meaningful about what is being studied.
8. Degree of Freedom (DF)
9. Critical Values
10. Chi-Square Test
11. 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).
12. Chi-Square Value Table- Critical Values of the Chi-Square Distribution

Su, B. (2016).

Contact Information for CSUMB IST:622
Professor Bude Su, Ph.D.