Research Methods study guide - Gustavus Adolphus College
Research Methods study guide
Hypothesis testing and sampling distributions:
Draw H0 and H1 sampling distributions and show alpha, beta and errors
How can you change power? (draw it- you should be able to draw sampling distributions to do this)
Show the 2 X 2 table of Type I and Type II errors (can you relate this to signal detection theory?)
Inferential statistics:
The scores in an experiment differ. What are the sources of variability? How does anova apportion this variability for a between /or a within subjects (repeated) design?
Interpretation:
Be able to read an anova source table.
Be able to interpret graphs for main effects and interactions.
Be able to draw them too!!
What can go wrong ceiling/floor effects, regression to the mean…
You should be able to critically evaluate a design. You should be able to design your own experiment
You should be able to identify a design and know when to use it.
- recognize: random assignment, manipulated vs subject, repeated, matching, counterbalancing etc
do you have non-equivalent groups etc
The tree diagrams in chapter 7 and 8 – you will not have to reproduce the trees but you should know the final choices.
Correlation research:
What are the advantages - when is this a good idea?
What are the potential problems in interpretation ( 3rd variables, directionality) what can you do in an experimental design to minimize/account for these problems?
Quasi-experimental research:
What are the confounds to internal validity you need to consider in experiments?
-can you identify them and explain how they influence interpretation of both real and quasi-experimental designs.
What distinguishes a real experiment from a quasi-experiment?
If real experiments are the way to go then why do people do quasi-experiments?
What are the difficulties in interpreting/generalizing small-n designs?
When are they useful?
Descriptive:
When is this useful? Why ?
What are the different kinds of observational research?
What are the advantages and disadvantages of survey research/observational/physical trace evidence?
What is meta-analysis ? What are the advantages and disadvantages?
What is program analysis? What are the steps?
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