Chapter 15 Flashcards

1
Q

What is statistical conclusion validity?

A

Appropriate use of statistical procedures to assess the relationship between the independent and dependent variables

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2
Q

What are potential threats to statistical conclusion validity?

A

Low statistical power
Violated assumptions of statistical tests
Reliability and variance
Failure to use intention to treat analysis

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3
Q

What is internal validity?

A

Potential for confounding factors to interfere
with the relationship between independent and
dependent variables

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4
Q

What are internal threats to internal validity?

A

history
maturation
attrition
testing
instrumentation
regression to the mean
selection

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5
Q

What are social threats to internal validity?

A

Diffusion or imitation
Compensatory
equalization
Compensatory rivalry
Demoralization

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6
Q

How can you rule out threats to internal validity?

A

Random assignment and control groups
* May control threats due to history, maturation,
selection, regression, testing, instrumentation,
and selection interactions
Blinding subjects and investigators
* May control threats due to attrition, imitating
treatments, or compensatory reactions

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7
Q

What are threats to construct validity?

A

Operational definitions
Comprehensive measurements
Subgroup differences
Time frame
Multiple treatment interactions
Experimental bias

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8
Q

What is the hawthorne effect?

A

One possible type of experimental bias
The effect of subjects’ knowledge that they
are part of a study on their performance
* First described related to a series of experiments
on workers’ performance
* However a number of flaws in the original
experiments

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9
Q

What is external validity?

A

extent to which results can be generalized

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10
Q

What are threats to external validity?

A

Influence of selection
‒ Adherence
Influence of settings
‒ Ecological validity
Influence of history

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11
Q

What are strategies to control for subject variability?

A

Random assignment
Homogeneous samples
Blocking variables
Matching
Repeated measures
Analysis of covariance (ANCOVA)

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12
Q

What is compliance?

A

Getting the assigned treatment
Being evaluated according to the protocol
Adherence to protocol requirements

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13
Q

How can data go missing?

A

Dropouts
Missing a test session
Missing outcome measures

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14
Q

How can you analyze results with noncompliance?

A

Per-protocol analysis
Intention to treat analysis

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15
Q

What is pre-protocol analysis?

A

Only includes those subjects who complied with
the trial’s protocol
Non-completers are removed from the analysis
May make the experimental group look more successful as compared to the control group

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16
Q

What is intention to treat (ITT) analysis?

A

Data are analyzed according to original random
assignments, regardless of the treatment subjects actually received, if they dropped out or were non-compliant
Ideally includes all subjects
May underestimate a treatment effect

17
Q

How do you handle missing data?

A

Completer analysis
* May be justified if missing data are few and if
data are missing at random
Data imputation
* Data missing points are replaced
‒ Non-completer equals failure
‒ Last observation carried forward
‒ Mean value imputation
‒ Multiple data imputation