Stats Flashcards

1
Q

Selection bias

A

When people who enter a study earlier may be different from those who enter it later. Best control for this is random assignment

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2
Q

Solomon 4 group design

A

Used to control for testing practice threat to internal validity

  • Pre and post w/ intervention
  • Pre and post w/o intervention
  • Post w/ intervention
  • Post wi/o intervention
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3
Q

Attrition or experimental mortality

A

Occurs when subjects drop out of a study.

To assess for attrition is to run t-tests to compare drop outs to those who stayed in the study.

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4
Q

Internal validity

A

How well a study is done in terms of avoiding methodological errors.

When internal validity is strong there is good confidence that any changes in the DV are due to the IV.

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5
Q

Construct validity

A

Determined by if the intended factor of the intervention caused change or if it was some other aspect of the intervention.

Attention and contact with clients
Experimenter expectancies (Rosenthal effect)
Demand characteristics
John Henry effect (compensatory rivalry)

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6
Q

Rosenthal effect

A

Threat to construct validity

Involves wxperimenter expectancies impacting the results.

Experimenter blindness controls this

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7
Q

Demand characteristics

A

Threat to construct validity

When subjects have too much knowledge about their assignment based on experimental procedure

This can be controlled with subject blindness

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8
Q

John Henry effect (compensatory rivalry)

A

Threat to construct validity

When control group tries to compete with the experimental group

To control for this the groups should not know about each other.

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9
Q

External validity

A

Factors that limit generalizability of findings

Sample characteristics (ie volunteers)
Stimulus characteristics ( lab study versus real life)
Context characteristics (reactivity, Hawthorne effect)
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10
Q

Hawthorne effect (reactivity)

A

When subjects in a study behave differently than normal bc they are being observed.

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11
Q

Statistical conclusion validity

A

Statistical problems that result in lack of statistical significance

Low power
Unreliable measures
Variability only procedures
Subject heterogeneity

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