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Chapter 6: Research Validity

          Continued
          10/2/2012
Road Map
•   Turn in Reflection Assignment #1
•   Announcement about lab
•   Quick Review
•   Finish Chapter 6
About Lab
• Go to class
• Turn in assignments
• Starting group project this week—you can’t
  contribute fully if you aren’t there!
• Remember: can be dropped after 4 absences
• If you fail lab, you fail the course
• Pay close attention to detail
Quick Review
• Statistical Conclusion validity
• Construct Validity
  – Threats: participant reactivity
             experimenter effects (will discuss next)
Construct Validity
Content-Related             Internal Structure


         Criterion-Related Validity

    Predictive        Concurrent



         Convergent                Discriminant
Threats to Construct Validity
• Factors that impact how well our
  operationalizations actually represent
  constructs

• Pg 171, Table 6.2 – long list of threats

• We will focus on two major ones:
  – Participant reactivity to the experimental situation
  – Experimenter effects
Participant Reactivity to the
         Experimental Situation

• Participants’ motives and perceptions

• Demand characteristics

• Positive self-presentation
Instruction set #1
We want to see how well you are able to learn
the following sets of letters. Letters will appear
in groups of 3 to 7, and each letter will appear
on the screen for 1 second. Following the
presentation of the letters, …
Instruction Set #2
In the following task, you will be presented with
groups of letters ranging from 3 to 7 letters.
Each letter will appear on the screen for one
second. Your task is to…
Experimenter effects
• Researcher actions and characteristics that
  influence the responses made by the research
  participant

• Expectancies
  – Clever Hans

• Attributes
  – Biosocial
  – Psychosocial
  – Situational factors
Clever Hans

   I   Math
Internal Validity
• The extent to which we can accurately
  infer that the independent and
  dependent variables are causally related



   Independent                           Observed Effect
   Variable                              (DV)
Causally Related

Independent                                            Observed Effect
Variable                                               (DV)




     Cause and effect are   Cause must       No other explanation
     related (covary)       precede effect   is plausible
Special Considerations
• Extraneous variables

• Confounding extraneous variables

• Control
Threats to Internal Validity
•   History
•   Maturation
•   Instrumentation
•   Testing
•   Regression Artifact
•   Attrition
•   Selection
•   Additive and Interactive Effects
History
• Any event occurring after the study begins that
  could produce the observed outcome

• Differential history: only one group experiences
  history event

• Note what history is NOT
Maturation
• Changes in biological and psychological conditions
  that occur with the passage of time
  – Factors within the individual


• Example: Head Start program and achievement
  over a school year
Instrumentation
• Changes in the assessment/measurement of the
  dependent variable

• Example: multiple observers and interviewers
Testing
• Changes in a person’s score on the second
  administration of a test are a result of
  previously having taken the test

• Example: pre-test and post-test on memory
  task
Regression Artifact
• a.k.a. regression toward the mean

• The tendency for extreme scores to become less
  extreme on a second assessment
Attrition
• Participant drop-out
  – Don’t show up for appointment
  – Decide to discontinue study



• Differential attrition is especially problematic
Selection
• The choice of participants for the various
  treatment groups based on different criteria
  – NOT random assignment
Additive & Interactive Effects
• The combined effect of several threats to
  internal validity
External Validity
• The extent to which the results of the
  experiment can be generalized across
  variations in:
  – people
  – Settings
  – Treatments
  – Outcomes
  – Time
What Limits External Validity?
• Lack of random selection/sampling

• Chance factors

• IV-DV relationship varies across levels of
  another variable
5 main categories of external validity
•   Population Validity
•   Ecological Validity
•   Treatment Variation Validity
•   Outcome Validity
•   Time Validity
Population Validity
• The extent to which the results of a study can
  be generalized to the larger population.

• Target population: the population to which
  we want to generalize the results
• Accessible population: the population of
  research participants available to the
  investigator
Ecological Validity
• The extent to which the results of a study can be
  generalized across settings or environmental conditions

• Which research setting receives the most criticism here?
   – laboratory
Temporal Validity
• The extent to which the results of an experiment can be
  generalized across time
Treatment Variation Validity
• The generalizability of results across variation
  of the treatment
Outcome Validity
• The generalizability of results across different
  but related dependent variables.
Balancing Internal and External Validity
• Inverse relationship

• The conditions that increase internal validity
  (control) decrease external validity

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Chapter 6 class version b

  • 1. Chapter 6: Research Validity Continued 10/2/2012
  • 2. Road Map • Turn in Reflection Assignment #1 • Announcement about lab • Quick Review • Finish Chapter 6
  • 3. About Lab • Go to class • Turn in assignments • Starting group project this week—you can’t contribute fully if you aren’t there! • Remember: can be dropped after 4 absences • If you fail lab, you fail the course • Pay close attention to detail
  • 4. Quick Review • Statistical Conclusion validity • Construct Validity – Threats: participant reactivity experimenter effects (will discuss next)
  • 5. Construct Validity Content-Related Internal Structure Criterion-Related Validity Predictive Concurrent Convergent Discriminant
  • 6. Threats to Construct Validity • Factors that impact how well our operationalizations actually represent constructs • Pg 171, Table 6.2 – long list of threats • We will focus on two major ones: – Participant reactivity to the experimental situation – Experimenter effects
  • 7. Participant Reactivity to the Experimental Situation • Participants’ motives and perceptions • Demand characteristics • Positive self-presentation
  • 8. Instruction set #1 We want to see how well you are able to learn the following sets of letters. Letters will appear in groups of 3 to 7, and each letter will appear on the screen for 1 second. Following the presentation of the letters, …
  • 9. Instruction Set #2 In the following task, you will be presented with groups of letters ranging from 3 to 7 letters. Each letter will appear on the screen for one second. Your task is to…
  • 10. Experimenter effects • Researcher actions and characteristics that influence the responses made by the research participant • Expectancies – Clever Hans • Attributes – Biosocial – Psychosocial – Situational factors
  • 11. Clever Hans I Math
  • 12. Internal Validity • The extent to which we can accurately infer that the independent and dependent variables are causally related Independent Observed Effect Variable (DV)
  • 13. Causally Related Independent Observed Effect Variable (DV) Cause and effect are Cause must No other explanation related (covary) precede effect is plausible
  • 14. Special Considerations • Extraneous variables • Confounding extraneous variables • Control
  • 15. Threats to Internal Validity • History • Maturation • Instrumentation • Testing • Regression Artifact • Attrition • Selection • Additive and Interactive Effects
  • 16. History • Any event occurring after the study begins that could produce the observed outcome • Differential history: only one group experiences history event • Note what history is NOT
  • 17. Maturation • Changes in biological and psychological conditions that occur with the passage of time – Factors within the individual • Example: Head Start program and achievement over a school year
  • 18. Instrumentation • Changes in the assessment/measurement of the dependent variable • Example: multiple observers and interviewers
  • 19. Testing • Changes in a person’s score on the second administration of a test are a result of previously having taken the test • Example: pre-test and post-test on memory task
  • 20. Regression Artifact • a.k.a. regression toward the mean • The tendency for extreme scores to become less extreme on a second assessment
  • 21. Attrition • Participant drop-out – Don’t show up for appointment – Decide to discontinue study • Differential attrition is especially problematic
  • 22. Selection • The choice of participants for the various treatment groups based on different criteria – NOT random assignment
  • 23. Additive & Interactive Effects • The combined effect of several threats to internal validity
  • 24. External Validity • The extent to which the results of the experiment can be generalized across variations in: – people – Settings – Treatments – Outcomes – Time
  • 25. What Limits External Validity? • Lack of random selection/sampling • Chance factors • IV-DV relationship varies across levels of another variable
  • 26. 5 main categories of external validity • Population Validity • Ecological Validity • Treatment Variation Validity • Outcome Validity • Time Validity
  • 27. Population Validity • The extent to which the results of a study can be generalized to the larger population. • Target population: the population to which we want to generalize the results • Accessible population: the population of research participants available to the investigator
  • 28. Ecological Validity • The extent to which the results of a study can be generalized across settings or environmental conditions • Which research setting receives the most criticism here? – laboratory
  • 29. Temporal Validity • The extent to which the results of an experiment can be generalized across time
  • 30. Treatment Variation Validity • The generalizability of results across variation of the treatment
  • 31. Outcome Validity • The generalizability of results across different but related dependent variables.
  • 32. Balancing Internal and External Validity • Inverse relationship • The conditions that increase internal validity (control) decrease external validity