SOWO 914 Flashcards

1
Q

Describe the Devellis process for scale development (there are approx. 8 steps)

A
  • Determine what to measure based on theory, literature, specificity of construct
  • Generate initial item pool and determine response format
  • Solicit expert feedback
  • Consider inclusion of validation items
  • Collect data from a large sample
  • Evaluate the items (e.g., item-scale correlations, frequencies, variances, means, reliability)
  • Conduct exploratory factor analysis
  • Conduct confirmatory factor analysis
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2
Q

What are the advantages to the Devellis approach to scale development (over Bowen & Guo)?

A
  • More widely known, cited, and used

- More cost and time effective

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3
Q

Describe the Bowen & Guo process of scale development (there are approx. 10 steps).

A
  • Conduct a literature review of the construct
  • Interview intended respondents about the construct
  • Generate initial item pool and determine response format
  • Solicit expert feedback (i.e., scholars and community experts)
  • Pilot test the measure with a small sample
  • Evaluate pilot test data (e.g., item-scale correlations, frequencies, variances, means, reliability)
  • Collect data from a large sample
  • Conduct exploratory factor analysis
  • Conduct confirmatory factor analysis
  • Conduct additional validity testing
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4
Q

What are the advantages of the Bowen & Guo approach to scale development?

A
  • Mixed methods
  • Community-engaged
  • More pilot testing and qualitative work on the front end to ensure construct, cultural, and respondent-related validity
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5
Q

What are the disadvantages to the Bowen & Guo approach to scale development?

A
  • Costly and time-consuming

- Less well-known by experts and funders, may not be seen as a priority by some

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6
Q

Internal validity

A

The degree to which causality can be established based on the design of a study

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7
Q

External validity

A

The degree to which study results can be generalized to other people and settings

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8
Q

Content validity (definition)

A

Quality of the evidence related to content and internal structure

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9
Q

Criterion-related validity (definition) and some examples

A

Quality of evidence based on relations b/w scores on measure and other measures of related/unrelated constructs

  • Concurrent/convergent
  • Divergent/discriminant
  • Discriminative/known-groups
  • Predictive
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10
Q

Respondent-related validity (definition)

A

Quality of evidence related to respondent understanding, interpreting, and responding to instructions/items

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11
Q

Practice related validity (definition)

A

AKA consequential validity
Quality of evidence related to relevance for social benefit, utility in practice settings, intended/unintended consequences

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12
Q

How would you gather and evaluate evidence for content validity?

A
  • items capture major dimensions, dimensions are supported by statistical relationships
    • Lit review
    • Review extant measures
    • Expert review
    • EFA & CFA
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13
Q

What are some examples of criterion-related validity?

A
  • Concurrent/convergent: Measures scores associated with scores of other measures of same/related construct
  • Divergent/discriminant: Measure scores NOT associated with scores of measures of different/unrelated construct
  • Discriminative/known-groups: measure scores can discriminate b/w groups known to differ on construct
  • Predictive: measure scores predict scores on outcome measure
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14
Q

How would you gather and assess evidence related to criterion-related validity?

A
  • Evidence: statistical association/lack of association b/w related, same, or unrelated constructs or groups
    • Data collection w large sample involving measures and comparative measures, followed by statistical analysis
    • Data collection from large sample involving measure, followed by analysis of score and respondent group membership
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15
Q

How would you gather and assess evidence of respondent-related validity?

A
  • Evidence: content or format appear appropriate AND/OR statistical qualities apply across groups
    • Cognitive interview data
    • Literature review on developmental capabilities intended
    • Readability testing
    • Expert review re: appropriateness specifically
    • Translation and back-translation
    • Multiple group factor analysis
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