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Research Design And Validity

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Pros and Cons of Experimental Approach. Pros: ability to identify causal ... Simulations and 'Realism' Mundane realism. Experimental realism. Field Setting ... – PowerPoint PPT presentation

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Title: Research Design And Validity


1
Research Design And Validity
2
Reasons to Conduct a Research Study
  • Exploratory data collection
  • Hypothesis testing
  • Causal relationships can be tested
  • Correlational relationships can be tested

3
Experimental Research
  • 4 defining characteristics
  • Manipulation of variable(s) (IV)
  • Measurement of the behavior (DV)
  • Group/Condition design
  • Control over extraneous variables

4
How to Control Extraneous Variables?
  • Hold extraneous variables constant
  • Randomize their effects across conditions

5
Pros and Cons of Experimental Approach
  • Pros ability to identify causal relationships
  • Cons cannot use this approach if variables
    cannot be manipulated

6
Correlational Research
  • Goal is to determine whether two variables
    co-vary and to establish the direction of the
    relationship
  • No variables are manipulated
  • Two or more variables measured - predictor
    variable and criterion variable

7
Positive Aspects of Correlational Research
  • Gathering data in exploratory stages of research
  • Examining situations where you cannot manipulate
    variables
  • Useful for prediction

8
Problems with Correlational Research
  • Third-variable problem
  • Directionality problem

9
Internal Validity
  • The ability of the research design to adequately
    test the hypotheses
  • Extraneous variables may interfere with internal
    validity

10
How to Establish Internal Validity?
  • You could get two groups that are identical and
    administer treatment to one
  • But, there are problems in getting identical
    groups
  • Selection bias problems
  • 3 types of selection bias
  • Self-selection bias
  • Experimenter selection bias
  • Arbitrary rule selection bias

11
  • YOU COULD match two groups on every
    characteristic you think is problematic
  • But, there may be too many variables to match
  • YOU COULD get P's, measure them, make sure
    nothing changes in the meantime, measure them
    again (pretest-posttest method)
  • But, there are a number of threats to internal
    validity in this situation

12
7 Threats to Internal Validity (Campbell
Stanley, 1963)
  • History
  • Maturation
  • Testing
  • Instrumentation
  • Statistical regression
  • Biased selection of participants
  • Experimental mortality

13
External Validity
  • The degree that results generalize beyond the
    experimental situation
  • Threats to external validity
  • Artificiality (using highly controlled lab
    conditions)
  • Reactivity in the testing situation
  • Subject selection biases

14
Internal Validity vs. External Validity
  • They trade off against each other
  • The researcher must determine which is more
    important

15
Research Settings
  • Choice of setting affected by
  • Type of research question asked
  • Convenience
  • Cost
  • Ethical considerations

16
Laboratory Setting
  • Any setting that is artificial relative to the
    setting where the behavior naturally occurs
  • Advantage better control over extraneous
    variables
  • Disadvantage loss of external validity?
  • One way to deal with this simulation
  • Simulation - re-create a real world situation in
    the laboratory

17
Stanford Prison Study
  • Zimbardo (1971)
  • Clip
  • web site

18
Simulations and Realism"
  • Mundane realism
  • Experimental realism

19
Field Setting
  • Research conducted in the participant's natural
    environment
  • Advantage greater external validity
  • Disadvantage less control over extraneous
    variables
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