1. Chapters 8, 9, 10, 11 Dr. Bhattacharya
EDPR FINAL EXAM REVIEW
Chapters 8, 9, 10, 11
Dr. Bhattacharya

2. Structure of the Final Exam
Mostly multiple choice questions
Some short answers
All questions are application based questions, so you have to understand your materials
Open book, open notes, open mind
Comprehensive final exam, so there will be some questions from before the midterm although there will be more focus on materials after the midterm
You will have the entire class period even though you will not need it.

3. Validity and Reliability
Know what validity and reliability is
Know why they are important in a study
What are some of the factors that affect reliability and how?

4. Data Collection Instruments
How does data get collected in quantitative research?
Know both the standard methods and also the alternate methods. I might ask a MC question and ask you to choose an appropriate method of data collection
Also know how to identify independent and dependent variables

5. Chapter 9 What are descriptive designs and how are they used?
What do you study when you conduct correlational studies? Does a high value of “r” imply causation?
When is it appropriate to do a comparative study?
What does a correlational design look like?

6. Prediction Studies What is the role of prediction studies?
What is the statistical process of prediction studies?
What might be some possibilities of errors?
What might be some statistical analysis?
Might give you a scenario and then ask you to choose the correct research question, analysis procedure, and possibilities of error

7. Interpreting Correlational Research
Remember correlation does not imply causation
Will give you some “r” values and ask you to interpret the strength and direction of the relationship
What is spurious correlation? What might be some examples of spurious correlations?

8. Survey Research When is it appropriate to do survey research?
What are the different types of survey research
What are the conditions for survey research?

9. Ex Post Facto Designs When do you conduct ex post facto research?
What is the value of ex post facto designs?
How do you interpret such research?
Might give you a scenario and then ask you whether or not ex post facto research would be appropriate

10. Chapter 10
What are the characteristics that need to be present for experimental research?
Why are they important?
What are the steps in planning experimental research
What are the different types of validity and what role do they play in research?
Might give you a scenario and ask you if certain types of validities were maintained or threatened.

11. Experimental Designs Pre-experimental designs
Randomized experimental designs
Quasi- experimental designs
Single-subject designs
Know what these designs look like
Questions will range from being able to identify such designs to some questions about strength and limitations of these designs

12. Chapter 11 Be familiar with the key terms
What is the relationship between null and alternate hypothesis? When are they used and why?
What is level of significance? What does it signify?
What are type I and type II errors? Why is it important to pay attention to those errors
Questions will be: a scenario will be given and you might have to write your own null and alternate hypothesis
Another question can determine how well you understand the existence of type I and type II errors in a study

13. Effect size, t-test, ANOVA
magnitude of a treatment effect = effect size – what does it do? When would you use it and why?
What is a t-test? What does it measure? When would you use it and why?
ANOVA – what is it? When would you use it and why?
I would provide you with some scenarios and ask you to look at it and determine what test you would do, how you would read the effect size (will provide field related information)

14. Post-Hoc Comparisons and Planned Comparisons
Again, when are these tests done and why are they done?
You can expect scenarios with correct identification
When would you do factorial analysis of variables

15. Parametric and Nonparametric tests
Know the assumptions between the two tests
What are the ways you measure in both these tests? What do you measure?

16. Multivariate Analysis
What is the difference between univariate, bivariate, and multivariate relationships, tests, and analysis?
When do you do a multivariate analysis?
How is it similar and different from ANOVA?
What is the relevance of multivariate analysis?