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Matched Sample Designs to Reduce Selection Effects – Dr. Don Bergh

Research Methods Education Program (RMEP)
2024-2025 Webcast Lecture Series
Matched Sample Designs to Reduce Selection Effects – Dr. Don Bergh

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Question 1 of 6

1. Question

1. Sources of endogeneity include…

a. Omitted variables
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b. Measurement error
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c. Temporal relations
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d. Selection
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e. All the above
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Question 2 of 6

2. Question

2. Selection bias occurs when…

a. Systematic differences exist between sample and population
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b. Sample does not accurately represent the population
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c. Both (a) and (b)
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d. Neither (a) nor (b)
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Question 3 of 6

3. Question

3. What is the primary challenge with using analytical solutions to address selection bias?

a. They focus on bias after data has been collected
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b. They are complicated and time consuming
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c. There are no challenges
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d. Both (a) and (b)
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Question 4 of 6

4. Question

4. True or False: Research designs are a source of bias from sample- and self-selection.

a. True
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b. False
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Question 5 of 6

5. Question

a. Reduces post-treatment differences in the outcome variable
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b. Creates a control sample to decrease the effects of sample/treatment assignments
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c. Reduces selection-based endogeneity
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d. All the above
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Question 6 of 6

6. Question

6. Which of the following is not an alternative form of matched sampling?

a. Propensity score matching
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b. Coarsened exact matching
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c. Random selection
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d. None of these
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By Liliana Gomez|2025-01-31T14:57:59-05:00January 31st, 2025|Comments Off on Matched Sample Designs to Reduce Selection Effects – Dr. Don Bergh

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