STATS lec 9- Validity Flashcards

1
Q

Validity

A
  • Valid: well grounded in logic or truth
    • Gives us a true interpretation
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2
Q

Forms of validity 1- Face validity

A
  • Face validity
  • Does it measure what it says it does
    • Do the questions in a stats exam reflect the knowledge students should have learnt
    • If the outcome wanted is a reduction in heart attacks, is measuring BP a goodway of assessing this?
    • Is the way an answer to a question in a survey is interpreted valid
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3
Q

Forms of validity 2- Criterion validity

A
  • Criterion validity: does the measure give results which are in agreement with other measures of the same thing?
    • e.g. do theoretical research methods exam scores relate to practical research scores
    • Concurrent: comparison of the new test with an established test
      • new intelligence test vs IQ
    • Predictive: does the test predict the outcome of some future attempt
      • STATS vs A-level results
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4
Q

2 types of criterion validity

A
  • Concurrent: Comparison of new test with established test
    • e.g. new intelligence test c.f. IQ
  • Predictive: does the test predict the outcome of some future attempt
    • E.g. do your STATS scores predict you A level grades
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5
Q

Forms of validity- Construct validity

A
  • Construct validity: How well does the test tap into the underlying construct
    • e.g. does a stats exam actually measure status knowledge (or is it testing memory)
    • Is a score of 30 on a personality scale a good measure of personality changes in schizophernia
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6
Q

Forms of validity- Ecological validity

A
  • Ecological validity: does the study reflect naturally occuring behaviour
    • e.g. would the performance of students in practical labs be equivalent to the performance of those students in a real setting
    • Do students in the dispensary react to a prescription in the same way as they do in “real life”
    • Would an animals behaviour in captivity tell you anything about animals in the wild
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7
Q

Forms of validity- population validity

A
  • Population validity: is our sample adequate for the claims we make about the population
    • e.g. if we measured attitudes to recreational drug use form a sample in this lecture, could we generalise the results to conclude the attitudes of everyone/young people/ students/ Aston students/ Pharmacy staff
    • Sampling is important
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8
Q

Sampling

A
  • VERY important, if you get it wrong you can compromise your population validity
  • (And therefore your conclusions may be wrong)
  • See lec 8 + 9
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