Self Reports: Assessing And Dealing With Validity Flashcards

1
Q

What might stop a questionnaire/interview accurately finding out what it sets out to find out

A
  • people don’t know how they think/feel
  • pop validity = low in questionnaires (only specific type of people do them)
  • interviewer bias - interviewer’s expectations might influence the interviewees answers
  • leading Qs
  • forced choice Qs with limited answers may make participant answer in a way that they don’t actually feel
  • interviewer bias in interpreting the open Qs answers
  • Ambiguous answers
  • interviewer effect - social desirability bias + influenced by gender/appearance of interviewer
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2
Q

What are some of the solutions to the problems of Questionnaires/interviews

A
  • make it forced choice
  • do an interview instead
  • do a questionnaire instead
  • get an independent interviewer in, who is unbiased
  • reword problematic Qs
  • remove problematic Qs
  • make it open Qs
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3
Q

What are the 3 most appropriate types of validity related to self reports

A
  • face validity
  • content validity
  • concurrent validity
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4
Q

What is face validity

A
  • does a self report look like its measuring what the researcher intended it to
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5
Q

What is content validity

A
  • does the self report measure what it intended to (assessed by an expert in that field)
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6
Q

What is concurrent validity

A
  • compares performance of the self-report with other well established validated ones. If they produce similar outcomes = valid
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7
Q

How could you assess how valid something is from a face validity

A

Researcher looks at questionnaire and checks if the Qs look like they are going to measure what they say they will

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8
Q

How could you assess how valid something is from a content validity

A
  • researcher looks to see if Qs are relevant (and not off topic), then get an expert to check if the Qs are valid
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9
Q

How could you assess how valid something is from a concurrent validity

A

Pilot study, give participants both your questionnaire and another published questionnaire: see if they’ll produce similar results

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10
Q

Why might a questionnaire not be reliable

A
  • people won’t always interpret scales the same way
  • people giving socially desirable answers will lower consistency and reliability
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11
Q

Why might an interview not be reliable

A
  • interviewer bias: direct (through tone/gestures/leading Qs) and indirect (types of Qs used)
  • semi-structured interview will be difficult to repeat due to the fact they’re different each time
  • difference in style/gender/personality of interviewer will create different answers
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12
Q

How can you assess if a self-report has high or low internal reliability

A
  • Split half method
    1. Randomly select half the test items and placing them on form A and placing the other half on form B
    2. Therefore you have 2 forms of the same test
    3. To have good reliability, the scores from these tests should at least be 80% in agreement
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13
Q

How can you deal with it if a self-report has low internal reliability

A

Remove/change problematic Qs

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14
Q

How to assess if a self-report has high or low external reliability

A
  • Test-retest method
    1. Give someone same questionnaire / interview to the same person on 2 separate occasions
    2. With a sufficient gap for the chance to forget
    3. If both yield same results = reliable
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15
Q

How to deal with it if a self-report has low external reliability

A
  1. Rewrite problematic Qs
  2. Train interviewer
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16
Q

What ethical issue might be raised when carrying out a self report

A
  • risk of psychological harm (personal/invasive Qs)
  • valid consent
  • confidentiality (anonymity)
  • risk to the participant’s values, beliefs, relationships, status or privacy
17
Q

What should researchers do when carrying out a questionnaire/interview to uphold ethical guidelines

A
  • give consent statement (e.g. contains warnings for sensitive topics that are brought up)
  • give the right to withdraw — make this clear
  • do a debrief — check for consent/their wellbeing
  • anonymity — keep data within the study (not sharing it)