1. The _____ of an experiment is a matter of how well it controls for the effects of extraneous variables. | | |
2. This effect is likely to be confounded with the independent variable when a single group is studied over an extended period of time. | | |
3. Randomization is designed to rule out this threat to internal validity. | | |
4. A threat to internal validity when a single group is measured two or more times in the same study. | | |
5. Likely to affect experimental results when subjects are selected on the basis of their extreme scores on the dependent variable | | |
6. A threat to internal validity created by systematic variation over time or across experimental conditions in the measurement of the dependent variable. | | |
7. A threat to internal validity when the loss of subjects varies from one experimental condition to another. | | |
8. Selection and differential attrition are the primary threats to the internal validity of this pre-experimental design. | | |
9. One problem with this design is that it is susceptible to a testing-X interaction effect. | | |
10. This true experimental design effectively eliminates the possibility of testing-X interaction. | | |
11. In this experimental design the same subjects participate in both treatment and control conditions. | | |
12. An experiment in which two or more variables are manipulated. | | |
13. A factorial design with two independent variables consisting of the treatment condition (presence or absence) and the pretest (presence or absence). | | |
14. The effect of one independent variable on the dependent variable depends on the level of another independent variable. | | |
15. When the entire population receives the treatment, this quasi- experimental design may be used by randomly selecting subjects measured before and subjects measured after the treatment. | | |
16. In this quasi-experimental design, pretests and posttests are are administered to treatment and control groups but random assignment is not possible. | | |
17. Resembles the one-group pretest-posttest design except there are multiple observations before and after the treatment. | | |
18. Controls for the effects of history in a time-series analysis by comparing a group exposed to the treatment with other groups that are not. | | |