Program Evaluation
Quiz by Asher
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- Q1
Which design involves comparing groups that were not randomly assigned?
a) Randomized Controlled Trial
b) Pretest-Posttest Non-Equivalent Group Design
c) Within-Subjects Design
d) Factorial Design
b: Pretest-Posttest Non-Equivalent Group Design
30s - Q2
True or False: Selection-maturation is a threat to internal validity in quasi-experimental designs.True or False: Selection-maturation is a threat to internal validity in quasi-experimental designs.
True
30s - Q3
What design uses a cutoff point to assign participants to groups?
a) Interrupted Time Series
b) Regression Discontinuity
c) Removed Treatment
d) Cohort Design
b: Regression Disconinuity
30s - Q4
Which design involves measuring outcomes at multiple time points before and after an intervention?
a) Proxy Pretest
b) Non-Equivalent Dependent Variables
c) Interrupted Time Series
d) Repeated Treatment
c: Interrupted Time Series
30s - Q5
What is a key feature of the non-equivalent group design with multiple pretests?
a) It eliminates all selection threats.
b) It provides more data to account for selection-maturation and selection-regression.
c) It uses a single pretest.
d) It uses random assignment.
b: It provides more data to account for selection-maturation and selection-regression.
30s - Q6
A: Difficulty identifying a non-equivalent group.
B: A lack of pretest data for a group that you have posttest for.
C: Threats to internal validity.
D: All of the above.
D: All of the above
30s - Q7
True or False: Interval data is anchored by a true zero, and is therefore more powerful than ratio data.
False
30s - Q8
True or False: The reliability of a social measurement is affected by random measurement error.
True
30s - Q9
Which of these is NOT a step in a regression discontinuity quasi-experiment? A: Program and control group assignment using a cut-off point.
B: Separate regressions run for each group.
C: Average posttest outcome score comparison.
D: Regression line comparison.
C: Average Posttest outcome score comparison.
30s - Q10
What patterns may descriptive statistics help us to see?
A: Comparison to another average
B: Changes over a period of time
C: Rates and demographics of participation
D: All of the above
D: All of the above
30s