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Introduction: Research designThe Biggest Problem in Research: Establishing CausalitySlide 3Slide 4Slide 5The problemReview of internal and external validityInternal validity: the two problems The two primary threats to internal validity.External validitySlide 10ClarificationWhat is gold standard research design?Next class: STATAIf you want to play around with StataIntroduction: Research design17.871Spring 20121The Biggest Problem in Research: Establishing CausalityReturn to the case of voting machine problems in FloridaAfter the election, we wanted to know: are some machines “better” than others?For the policy choice, we want to know if2The Biggest Problem in Research: Establishing CausalityReturn to the case of voting machine problems in FloridaAfter the election, we wanted to know: are some machines “better” than others?For the policy choice, we want to know if3The Biggest Problem in Research: Establishing CausalityReturn to the case of voting machine problems in FloridaAfter the election, we wanted to know: are some machines “better” than others?For the policy choice, we want to know if4The Biggest Problem in Research: Establishing CausalityReturn to the case of voting machine problems in FloridaAfter the election, we wanted to know: are some machines “better” than others?For the policy choice, we want to know if5The problemHow do we make sure that quality differences observed among machine types are due to machine types per seThis is an issue of causalityWe attend to “internal validity” so that when we observe differences between groups, we can assure ourselves that this is because of the “treatments” of interest6Review of internal and external validityInternal validity: the two problemsThe two primary threats to internal validity.1. Nonrandom selection into the treatment group (confounding variables)Comparing apples with apples or apples with oranges?Random assignment ensures apple to apple comparisonsRegression, matching, difference-in-differences also attempt to compare apples with apples2. Reverse causationThe chicken and egg problem, which came first?Is your dependent variable influencing your treatment (your explanatory variable)?If you can address these problems, you almost always have an internally valid studyRandomly assigned experiments address bothExternal validityIs your sample representative of the population?Make sure your study population is relevant to the general populationAddress by randomly samplingGood research is about addressingInternal validityExternal validityClarificationRandomly sampling cases gets you?External validityRandomly assigning to treatment group?Internal validityControlling for variables with regression addresses?Internal validityWhat study design addresses both internal and external validity?Field experimentsWhat is gold standard research design?Field experiment, e.g., Connecticut voting turnoutWhy? AddressesInternal validityNonrandom selection into the treatmentReverse causationExternal validityWhat aspects of our lives are governed by gold standard research?In this class, we mostly do observational studies, But the key to a successful observational research is always keep in mind how one study differs from a field experiment12Next class: STATA Kohler & Kreuter, Data analysis (2nd edition)Chapter 1Skip section 1.3.19 (linear regression)Chapter 3Only read section 3.1 Chapter 5Read section 5.1 but skip 5.1.3 and 5.1.4Read section 5.2Handout: “How to use the STATA infile and infix commands” (course website)13If you want to play around with StataVisit http://ist.mit.edu/services/software/athena/numerical for basic info about accessing Stata in AthenaLook on pp. xxi-xxii of Kohler & Kreuter for info about download example


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MIT 17 871 - Introduction: Research design

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