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Experiments,
Quasi-Experiments, &
Natural Experiments
 causal inference and experimentation
           designs and validity
          natural experiments
randomized controlled experiment

                                   Treatment or
                             R     experimental
                                      group


 Population         Sample

                             R
                                   Control Group



R = randomization
Randomized Controlled Experiment

                                           Pre-test          Post-test
R Experimental Group                        Mexp1       x         Mexp2
R Control Group                            Mcontrol1             Mcontrol2
X = experimental manipulation
M = measurements
Experimental effect = (Mexp2 - Mexp1)- (Mcontrol2 - Mcontrol1)
R = Random assignment of subjects to groups
designs and validity

• last time: validity of measures
  and indicators


• this time: internal & external
  validity as aspects of research
  design
internal validity                         XZ
• extent to which a research design yields strong evidence of causality


• Key issue: is there a causal relationship between a “treatment” and the
  “outcome(s)”?

Threats to internal validity:

1. History
2. Maturation
3. Testing
4. Instrumentation
5. Statistical Regression
6. Selection Threat
7. Experimental Mortality
8. Selection-Maturation Interaction
external validity                           XZ
• extent to which a research design yields findings that generalize to
   • To subjects / objects / units other than those actually in your study
   • To settings / circumstances other than that/those actually in your study
   • To times other than those actually in your study


Threats to external validity:

1. Interaction of testing and experimental variable
2. Interaction of selection bias and experimental variable
3. Reactive Arrangements
4. Multiple-treatment interference
How might you design an experiment to test a new
drug?
How might you design an experiment to test a new
drug?
OXO
    000 X 000
00 X 00 X 00 X 00
Dosage and Factorial Designs
regression effect:
matching and Head
Start
Natural Experiments
Posner
• Why are the Chekwas and
  Tumbukas allies in Zambia and
  adversaries in Malawi?
   • unit of analysis (530)
   • case selection criteria (531)
   • survey design (532)
   • lit review (535)
   • additional tests (541)
   • conclusions (543)

• Posner’s approach: find the
  treatment
Dunning:
Important questions to ask of natural experiments
group activity
1. Characterize your project,
or a partner’s project, in
terms of its research design

2. What are some of the
potential threats to internal
and external validity?

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Experiments

  • 1. Experiments, Quasi-Experiments, & Natural Experiments causal inference and experimentation designs and validity natural experiments
  • 2. randomized controlled experiment Treatment or R experimental group Population Sample R Control Group R = randomization
  • 3. Randomized Controlled Experiment Pre-test Post-test R Experimental Group Mexp1 x Mexp2 R Control Group Mcontrol1 Mcontrol2 X = experimental manipulation M = measurements Experimental effect = (Mexp2 - Mexp1)- (Mcontrol2 - Mcontrol1) R = Random assignment of subjects to groups
  • 4. designs and validity • last time: validity of measures and indicators • this time: internal & external validity as aspects of research design
  • 5. internal validity XZ • extent to which a research design yields strong evidence of causality • Key issue: is there a causal relationship between a “treatment” and the “outcome(s)”? Threats to internal validity: 1. History 2. Maturation 3. Testing 4. Instrumentation 5. Statistical Regression 6. Selection Threat 7. Experimental Mortality 8. Selection-Maturation Interaction
  • 6. external validity XZ • extent to which a research design yields findings that generalize to • To subjects / objects / units other than those actually in your study • To settings / circumstances other than that/those actually in your study • To times other than those actually in your study Threats to external validity: 1. Interaction of testing and experimental variable 2. Interaction of selection bias and experimental variable 3. Reactive Arrangements 4. Multiple-treatment interference
  • 7.
  • 8. How might you design an experiment to test a new drug?
  • 9. How might you design an experiment to test a new drug?
  • 10. OXO 000 X 000 00 X 00 X 00 X 00
  • 13.
  • 15. Posner • Why are the Chekwas and Tumbukas allies in Zambia and adversaries in Malawi? • unit of analysis (530) • case selection criteria (531) • survey design (532) • lit review (535) • additional tests (541) • conclusions (543) • Posner’s approach: find the treatment
  • 16. Dunning: Important questions to ask of natural experiments
  • 17. group activity 1. Characterize your project, or a partner’s project, in terms of its research design 2. What are some of the potential threats to internal and external validity?