Study Guide for Test 4

Chapter 10

-Describe the following threats to internal validity and be able to distinguish one from another in examples. 

History:

Maturation:

Testing:

Instrumentation:

Regression to the mean:

Selection:

Mortality:

Selection by time interaction:

 

-Define synergism

 

 

-What are quasi-experiments?

 

 

-How are quasi-experiments different from

                true experiments:

               

field experiments:

 

-List 4 reasons one would do a quasi-experiment.

1.

2.

3.

4.

 

-List an advantage and disadvantage of completing a quasi-experiment.

 

 

 

-Describe what a nonequivalent control group design is.

 

 

-What are some internal validity threats in this design and how would one control them. 

 

 

-Describe what an interrupted time series is.

 

 

 

-What are some internal validity threats in this design and how would one control them.

 

 

 


-What is a control series design?

 

 

 

 

 

Chapter 9

 

-What is a small n design?

 

 

-Why would one use a small n design over other design types?

 

 

-Describe and be able to use the following types of small n designs. Know the advantages of each.

 

AB design:

 

ABA (reversal) design:

 

ABAB design:

 

Alternating treatments design:

 

Multiple baseline design:

 

Changing criterion design:

 

-List some problems associated with small n designs.

 

 

-List two other types of small n designs

1.

 

2.

 

Chapter 13:

 

-Know how to deal with floor/ceiling effects and regression to the mean.

 

 

-Know the difference between direct, systematic, and conceptual replications and why they are important.

 

 

-What are converging operations and why are they important?

 

 

 

 

 

 

 

 


Graphs

 

-When should you use a graph instead of a table?

 

 

-List four types of graphs and understand when each is most appropriate to use.

1.

2.

3.

4.

 

 

-Describe the process of forming a good graph.

 

 

 

 

 

-What are 6 ways to avoid lying on a graph.

1.

2.

3.

4.

5.

6.

 

-List some characteristics of a good graph

 

 

 

 

-Know things like when to use 3-D vs. 2-D, what colors, symbols, and fonts to use, how to present information on a graph, etc.  Be able to point out things in a graph that make it less accurate or harder to read.

 

 

 

 

 

Appendix A

-Describe the following measures of central tendency and how to compute them.

Mean-

 

Median-

 

Mode-

 

-Know the differences between them and when each is most useful.

 

 


-Describe the following measures of dispersion and be able to calculate them (for variance and SD just know the formula and what it means—you won’t have to actually calculate it).

 

                Range-

               

Interquartile range-

               

Variance-

 

Standard Deviation-

 

-Understand the differences between the measures of dispersion.

 

 

-What is a normal distribution?

 

 

-Be able to read and create frequency distributions (also frequency polygon and/or histogram).

 

 

 

 

 

 

-Know and distinguish between the 4 types of measurement scales. Know the properties of each.

                Nominal-

 

                Ordinal-

 

                Interval-

 

                Ratio-