18 Practice exam items

Practice for Exam 1

Exam 1 will cover content from Chapters 1 through 4.

Practice Exam 1 Key

Practice for Exam 2

Exam 2 will cover content from Chapters 1 through 8, but will focus on content from Chapter 5 through 8.

Exam 1 items 12, 29, 32, 34, 36, 37, 48, 49, 50, 53, 54, 55, 62, and 69 were among the top ten most missed items in POL 138-005 and/or POL 138-006 and, along with items about p-values and linear regression, are good candidates for the review section of Exam 2.

Practice Exam 2 Key

Practice for Exam 3

Exam 3 will cover content from Chapters 1 through 12, but will focus on content from Chapter 9 through 12. Exam 2 items 15, 16, 21, 26, 33, 34, 35, 36, 37, 38, and 46 were among the top ten most missed items in POL 138-005 and/or POL 138-006 and, along with items about p-values and linear regression, are good candidates for the review section of Exam 2.

Practice Exam 3

Practice Exam 3 Key

Practice for Exam 4

Exam 4 is a writing exam that covers Chapters 1 through 12.

Practice Exam 4

Practice Exam 4 Key

Main eligible content for Exam 4:

  1. Ability to explain why one research design is better than another research design

  2. Ability to predict how a particular type of selection bias can bias an inference

  3. Ability to propose an alternate explanation for a pattern

  4. Ability to write the definition of a p-value, including all three key parts

  5. Understanding of factors that can cause a null result that fails to detect a true effect

  6. Understanding of how a difference-in-differences design can better help infer causality than a mere over-time difference can

  7. Understanding of how comparison of cases just below and just above a threshold can help infer causality

  8. Understanding of how statistical control can help infer causality

  9. Understanding of how, for inferring causality, comparisons should try to hold constant as much as possible

  10. Understanding of the benefit of weighting studies by sample size, for calculating an average effect size across studies

  11. Understanding of the type of randomization that is needed for a randomized experiment and how that randomization can help identify the effect of a treatment

  12. Understanding that a p-value of p<0.05 does not necessarily indicate a causal association

Practice for the Final Exam

The Final Exam will cover content from Chapters 1 through 12.

Practice Final Exam

Practice Final Exam Key