Threats to validity

Instructions

You need to complete the “Assessing validity” section below. Ideally you should type this in R Markdown and knit your document to HTML or Word or PDF, but you can also write in Word if you want (though your final project will need to be in R Markdown, and this would give you practice).

I’ve created an R Markdown template you can use here: threats-validity.zip. It’s also available on RStudio.cloud.

Submit this assignment as a PDF or Word file on iCollege.

Internal validity scores

One helpful way to assess an evaluation’s internal validity is to systematically go through each possible threat and evaluate if the research design addresses it. For each of the 13 types of internal validity that we discussed in class, assign 1 point if the study addresses it and 0 points if it fails to do so. Add up the total points and assign the study a final internal validity score.

Not all types of validity will apply to every study. Testing, for example, is only an issue if there is a pre-test and it involves a skill that could feasibly be enhanced by practicing the test. If a threat doesn’t apply, don’t give it a score.

• Omitted variable bias
  1. Selection
  2. Attrition
• Trends
  3. Maturation
  4. Secular trends
  5. Seasonality
  6. Testing
  7. Regression to the mean
• Study calibration
  8. Measurement error
  9. Time frame of study
• Contamination
  10. Hawthorne effects
  11. John Henry effects
  12. Spillovers
  13. Intervening events

Assessing validity

Your textbook Impact Evaluation in Practice is full of short examples of real-world evaluations, experiments, and studies. For this assignment, you will assess the (1) internal validity, (2) external validity, and (3) construct validity for four of the examples from the book. If the summary in the book isn’t sufficient, you can skim through the original study for more details.

You will assess these four studies:

1. The effect of conditional cash transfers on education in Mexico (Box 4.2, p. 70)
   • Original study: T. Paul Schultz, “School Subsidies for the Poor: Evaluating the Mexican Progresa Poverty Program,” Journal of Development Economics 74, no. 1 (June 2004): 199–250, doi:10.1016/j.jdeveco.2003.12.009.
2. The impact of Sesame Street on school readiness (Box 5.1, p. 91)
   • Original study: Melissa S. Kearney and Phillip B. Levine, Early Childhood Education by MOOC: Lessons from Sesame Street, Working Paper Series (National Bureau of Economic Research, June 2015), doi:10.3386/w21229.
3. The effects of police deployment on crime in Argentina (Box 7.2, p. 135)
   • Original study: Rafael Di Tella and Ernesto Schargrodsky, “Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack,” American Economic Review 94, no. 1 (March 2004): 115–133, doi:10.1257/000282804322970733.
4. Early childhood development and migration in Jamaica (Box 9.5, p. 170)
   • Original study: Paul Gertler et al., “Labor Market Returns to an Early Childhood Stimulation Intervention in Jamaica,” Science 344, no. 6187 (May 14, 2014): 998–1001, doi:10.1126/science.1251178.

For each study, do the following:

1. Go through the 13 types of internal validity and describe in 2–3 sentences how the study succeeds/fails to address each concern. Calculate a total internal validity score.
2. Describe any threats to external validity and assess how generalizable the findings are. (≈75 words)
3. Describe any threats to construct validity and assess if the researchers are measuring the thing they intended to measure. (≈75 words)