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23 Cards in this Set

  • Front
  • Back
Internal validity (“confounds”)
Group assignments
Procedures
External validity
Sample  population?
Context: Research lab  “real” settings & contexts?
Conditions: Independent variable  “real” conditions?
Outcomes: Dependent variable  adequate “model” of phenomenon?
Ecological validity (context & conditions):
Researcher effects
Participant effects
Setting effects
Operational Definitions
a
hypothetical constructs
a
confounds
a
Replicate
a
“Converging” study
a
Blind
a
Double blind
a
Social desirability responding
a
Reactive measures
a
Who do you want to generalize to?
Who is the target population?
broad  external validity
narrow internal validity
How do you decide who is a member?
demographic / behavioral criteria?
subjective / attitudinal?
Is a Probability or random sample possible?
“Hidden” population?
Socially undesirable research topic?
Easily available via telephone, door-to-door?
Sampling frame adequate to choose selection method?
Probability sampling
simple
multi-stage
cluster or stratified
(Most externally valid
Assumes:
Clear sampling frame
Population is available
Less externally valid for hidden groups)
simple
a
multi-stage
a
cluster or stratified
a
Non-probability sampling
targeted / multi-frame
snowball
quota, etc.
(Less externally valid
High “convenience”
Best when:
No clear sampling frame
Hidden / avoidant population)
Types of Non-probability Samples
Haphazard
Modal instance
Venue – time / space
Multi-frame
Snowball / Respondent driven
Web
Quota
Heterogeneity
(Just have a general idea of the advantages & disadvantages of different approaches, and perhaps be able to give an example.)
Study naturally occurring events that could not be brought into a lab or a true experiment.
Measurement studies
Retrospective designs
Measurement studies
Retrospective designs
a
Measurement studies
a