Experiments and Threats to Validity

 
EXPERIMENTS &
THREATS TO VALIDITY
 
 
Overview
 
Experimental Research
Definition and terms
Characteristics
Types
 
Definition of internal & external validity
Threats to internal validity
Threats to external validity
Threats to both
 
 
Validity of a Study
Validity (of a study)
 
Internal validity
Is there only one unambiguous explanation?
Have you eliminated confounds? Can the changes in the DV
be attributed to the manipulation of IV?
 
External validity
Do the results generalize?
Can the results apply to populations, situations, measurement
procedures which were not part of original study?
Threats to Internal Validity
 
Confound variables
 
1. Threats for all studies: Environmental variables
E.g., Time of day, room size, room tempt, noise
 
2. Threats when comparing groups
Assignment bias (e.g., non-equivalent control group)
Groups are not equal (e.g., personality characteristics or
experiences)
Threats to Internal Validity
 
3. Threats over time
History
Outside events occur
Maturation
Systematic changes in people (e.g., age)
Instrumentation
Changes in measurement, scales, or criteria
Diffusion of treatment
Communication across groups can interfere with
manipulation of IV
Threats to Internal Validity
 
3. Threats over time (continued)
Testing effects (can happen outside within-subjects
designs too)
Changes due to testing
Carry-over effects: fatigue, practice, and context effects
Statistical regression
Regression towards the mean 
 extreme scores become less
extreme
Experimental Mortality (i.e., attrition)
Differential dropout rates between groups
 
 
Threats to External Validity
 
1. Generalizing across participants
Selection bias
Bias in sampling procedure
College students
Volunteer bias
Participant characteristics
Cross-species generalization
Threats to External Validity
 
2. Generalizing across features of study
Novelty effects
Do participants respond differently in the lab?
Multiple treatment effects
Did participation in earlier treatment affect outcomes?
Experimenter characteristics
Would we get the same results if we used a different
experimenter?
Threats to External Validity
 
3. Generalization across features of measures
Sensitization
Assessment influences participants
Makes them more aware of thoughts, feelings, or behavior
Time of measurement
Would we get the same result if we measured 1 week after
intervention vs. 5 weeks?
Balancing Internal & External Validity
 
We want both, but usually a trade-off
Higher internal validity associated w/ greater control
Greater control associated w/ lower external validity
 
We have to decide what’s most important
Depends on purpose of study
 
Another reason why it is the accumulation of
information that is important! (i.e., multiple studies)
Threats to internal & external validity
 
Experimental bias (i.e., expectancy effect)
Experimenter expectations influence results
Not necessarily intentional
Threats to internal & external validity
 
Reactivity
Participants change behavior because they know they are
participating in a study
 
Demand characteristics
Cues make hypothesis obvious
Influence participants’ responses/behavior (e.g., subject
effect)
 
The ‘good’ participant
Apprehensive attitude
The ‘negative’ participant
Reducing bias, reactivity & other issues
 
Standardize or automate experiment
 
Blind
Single- or double-blind studies
 
Conducting a preliminary study
Reducing bias, reactivity, & other issues
 
Cover stories
Add other unrelated DVs
Use involving activities
Habituation
Indirect measures
Using placebos
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Explore the world of experimental research, internal and external validity, threats to validity, and the importance of proper study design in ensuring the credibility of research results. Learn about confounding variables, threats to internal validity such as environmental factors and group comparisons, as well as threats over time like history and instrumentation changes. Dive into testing effects, carry-over effects, and experimental mortality affecting internal validity, along with challenges in generalizing findings across participants due to selection bias and other external validity threats.

  • Experimental Research
  • Validity
  • Internal Validity
  • External Validity
  • Threats

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  1. EXPERIMENTS & THREATS TO VALIDITY

  2. Overview Experimental Research Definition and terms Characteristics Types Definition of internal & external validity Threats to internal validity Threats to external validity Threats to both

  3. Validity of a Study

  4. Validity (of a study) Internal validity Is there only one unambiguous explanation? Have you eliminated confounds? Can the changes in the DV be attributed to the manipulation of IV? External validity Do the results generalize? Can the results apply to populations, situations, measurement procedures which were not part of original study?

  5. Threats to Internal Validity Confound variables 1. Threats for all studies: Environmental variables E.g., Time of day, room size, room tempt, noise 2. Threats when comparing groups Assignment bias (e.g., non-equivalent control group) Groups are not equal (e.g., personality characteristics or experiences)

  6. Threats to Internal Validity 3. Threats over time History Outside events occur Maturation Systematic changes in people (e.g., age) Instrumentation Changes in measurement, scales, or criteria Diffusion of treatment Communication across groups can interfere with manipulation of IV

  7. Threats to Internal Validity 3. Threats over time (continued) Testing effects (can happen outside within-subjects designs too) Changes due to testing Carry-over effects: fatigue, practice, and context effects Statistical regression Regression towards the mean extreme scores become less extreme Experimental Mortality (i.e., attrition) Differential dropout rates between groups

  8. Threats to External Validity 1. Generalizing across participants Selection bias Bias in sampling procedure College students Volunteer bias Participant characteristics Cross-species generalization

  9. Threats to External Validity 2. Generalizing across features of study Novelty effects Do participants respond differently in the lab? Multiple treatment effects Did participation in earlier treatment affect outcomes? Experimenter characteristics Would we get the same results if we used a different experimenter?

  10. Threats to External Validity 3. Generalization across features of measures Sensitization Assessment influences participants Makes them more aware of thoughts, feelings, or behavior Time of measurement Would we get the same result if we measured 1 week after intervention vs. 5 weeks?

  11. Balancing Internal & External Validity We want both, but usually a trade-off Higher internal validity associated w/ greater control Greater control associated w/ lower external validity We have to decide what s most important Depends on purpose of study Another reason why it is the accumulation of information that is important! (i.e., multiple studies)

  12. Threats to internal & external validity Experimental bias (i.e., expectancy effect) Experimenter expectations influence results Not necessarily intentional

  13. Threats to internal & external validity Reactivity Participants change behavior because they know they are participating in a study Demand characteristics Cues make hypothesis obvious Influence participants responses/behavior (e.g., subject effect) The good participant Apprehensive attitude The negative participant

  14. Reducing bias, reactivity & other issues Standardize or automate experiment Blind Single- or double-blind studies Conducting a preliminary study

  15. Reducing bias, reactivity, & other issues Cover stories Add other unrelated DVs Use involving activities Habituation Indirect measures Using placebos

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