Quiz 4 Flashcards

1
Q

6 test Validity

A

Face, Content, Predictive, Concurrent, Convergent, Discriminant

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2
Q

Internal/External Validity

A

Internal: the extent to which an experiment accurately measures what it intended to measure (depends on how well the experiment is designed and controlled for relevant extraneous factors

External: an experiment can be generalized to a larger content (good study design)

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3
Q

Threats to Internal Validity

A

History, Maturation, Reactive Pretest, Instrumentation, Statistical Regression, Differential subject selection, Attrition, Interaction of factors

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4
Q

Generalizability

A

Threats to Generalization are threats to external validity! Do patterns from the sample apply to the population?
- Subject selection (does it accurately represent the population)
- Interactive pretest (when a reactive pretest interacts with the dependent variable)
- Reactive Arrangements (effect seen is specific to experimental context; Hawthorne effect: subjects’ behavior changes because they know they are being studied/observation)
- multiple treatment interference

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5
Q

Face

A

Does the test look and sound like it accurately measures the construct (ex: title)

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6
Q

Content

A

Does the test cover the relevant domains of the construct

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7
Q

Predictive

A

does the test predict things it should predict (ex: do lower scores correlate with lower reading proficiency?)

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8
Q

Concurrent

A

Does the test discriminate between relevant groups (ex: are scores significantly lower for kids with reading delays vs those with typical reading development?)

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9
Q

Convergent

A

does the test get similar results to other tests measuring the same or similar constructs (ex: do test scores correlate well with other test scores covering the same topic?

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10
Q

Discriminant

A

does the test get different results than other tests measuring different constructs (ex: do test scores fail to correlate with with scores of different constructs?)

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11
Q

Single-Subject Designs

A

focus is on individual behavior; can include multiple subjects, but they are not analyzed primarily as a group

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12
Q

Between-Subjects Group Design

A

different groups of subjects are exposed to different levels of the independent variables; need to account for group equivalence

  • subject randomization
  • subject matching
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13
Q

Within-Subjects Group Design

A

same subjects are exposed to different levels of the independent variables; requires fewer subjects; need to account for sequencing effects

  • sequence randomization
  • counterbalancing
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14
Q

Mixed Group Design

A

Use both between-subject and within-subject variables

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