experimental research design causality validity threats to validity construct (particular to...
DESCRIPTION
Threats to Internal Validity Time –History, Maturation Measurement –Testing, Instrumentation Selection –Randomization, Statistical regression, Mortality Contamination –Diffusion, Compensation Interaction among threatsTRANSCRIPT
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Experimental Research DesignCausality & Validity
• Threats to Validity– Construct (particular to experiments)– Internal– External – already discussed
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Threats to Construct Validity• Mono Method bias
– Remove common method variance– Establish convergent & discriminant
validity• Hypothesis guessing• Inappropriate level of construct
– Usually lower than what occurs in natural setting
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Threats to Internal Validity• Time
– History, Maturation• Measurement
– Testing, Instrumentation• Selection
– Randomization, Statistical regression, Mortality • Contamination
– Diffusion, Compensation• Interaction among threats
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Internal Validity• Establish that cause led to the effect
– Identify non-experimental (uncontrolled) factors that affect the dependent variable or the relation b/w the independent and dependent variables
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10 Threats to Internal ValidityTime
• History– Factors occurring along with the
independent variable• An event occurring at the time of the
intervention that overshadows (or reduces the effect of iv) and causes changes in dv
– E.g., change in manufacturing material along with training influences performance quality
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FIGURE 7.1Copyright © 2003 John Wiley & Sons, Inc. Sekaran/RESEARCH 4E
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10 Threats to Internal ValidityTime
• Maturation– Biological or psychological processes or
factors that occur w/the passage of time & affect the dependent variable
• E.g., job experience, socialization etc. affect performance
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FIGURE 7.2Copyright © 2003 John Wiley & Sons, Inc. Sekaran/RESEARCH 4E
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10 Threats to Internal ValidityMeasurement
• Testing– Studies w/pre-post measures or multiple
measures• Increased or decreased sensitization to post-
test measures• Changes in participants due to measurement
itself • Increased fatigue or resentment • Self-consistency effects
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10 Threats to Internal Validity• Instrumentation
– Change in the measures from pre to post test
• Change in observers’ frames of reference • Changes in participants’ frames of reference
(e.g., beta & gamma changes p. 43 Saks)• Change in instrumentation quality (e.g.,
performance quality measurement)
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10 Threats to Internal Validity• Instrumentation
– Use of different measurement techniques• Establish expected convergent & discriminant
validity• Importance of using different measures to
overcome percept-percept problem
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Threats to Internal ValiditySelection
• Randomization– Randomly assign to experimental
conditions • Only in experimental designs• Matching on key variable if random assignment
not possible
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Threats to Internal ValiditySelection
• Randomization– Randomly select from population
• Calculate response rate• Establish comparability of respondents to
population on key features• Stratified (v. cluster?) sampling
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10 Threats to Internal Validity Selection
• Statistical Regression – Upon repeat measurement, scores usually
“regress” or “move toward” the mean• Usually when extreme scorers are selected into
the study– Can be classified as ‘error’ variation
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10 Threats to Internal Validity Selection
• Mortality– Features of participants who do not
complete the study affect the results– Reduced power in testing effects
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10 Threats to Internal ValidityContamination
• Diffusion/imitation of treatments– When people in control groups
inadvertently know about or are affected by intervention and that changes their behavior
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10 Threats to Internal ValidityContamination
• Compensatory Effects– Knowledge about intervention and
changes in control group members’ behavior is more purposeful
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10 Threats to Internal Validity• Interaction among threats
– When multiple threats operate at the same time obscuring the effect of the IV on the DV
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Threats to Internal Validity• Time-related
– History, maturation• Measurement
– Testing, Instrumentation• Selection
– Randomization, Statistical regression, mortality • Contamination
– Diffusion, Compensation• Interaction among threats