Questionnaires

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24 Terms

1
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Closed-ended questions

  • Also called forced choice

  • Respondents choose from a limited range of possible answers pre-decided by the researcher

    • E.g. yes/no/don’t know

2
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Open-ended questions

  • Respondents able to give own answer in own words

  • No pre-decided choices

3
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3 practical positives

  1. Quick

  • Can gather data from a large sample of people, and with a good geographical spread if postal or online

  1. Cheap

  • Don’t need staff to conduct them

  1. Quantifiable 

  • Especially when using close-ended questions as can be easily processed by a computer and turned into a graph etc.

4
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Quick - example

Connor and Dewson (2001)

  • Sent out 4,000 questionnaires to 14 HE instutitons across the country

5
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5 practical negatives

  1. Data can be limited and superficial

  • Longer questionnaires are less likely to to be completed, so short ones may be better for ease and speed but not depth of data

  1. Can be costly

  • Depending on the group/topic/length of questionnaire, incentives may be needed

  1. May not be completed by the intended recipient

  • It may not be recieved, or completed by the intended recepient and there is no way to prove this either way

  1. Low response rate

  • Despite their ability to collect large amounts of data, this may not happen, especially w.postal questionnaires

  • Follow-ups/hand collection increase the cost and time

  • Could also be due to faulty questionnaire design or divisions in class

  1. Inflexibility

  • Once sent out, researchers are stuck with their questions and cannot change them to explore new areas of interest

6
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Practical problems - lying/forgetting/right answerism

  • People may try to please/second-guess the researcher

  • They may put a purposefully ‘respectable’ answer even if they know this is not true

  • Researchers cannot see for themselves what the subjects say they do vs what the actually do so cannot prove this right or wrong

7
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Low response rate - example

  • Hite (1991)

    • Sent out 100,000 questionnaires

    • Only 4.5% returned

8
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2 aspects of questionnaires that make them reliable

  1. Postal/online - no researcher present

  • Means they cannot influence responses and impose their meaning on the answers

  1. Questionnaires can be identical in questions, order of questions (and answer choice)

  • This means they can be repeated by any researcher

9
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3 aspects of questionnaires that positivists like

  1. Detatchment

  • Questionnaires are completed at a distance from the researcher, espcially postal questionnaires

  • This makes them objective as the researcher’s meaning is not imposed on the person doing it

  1. Representativeness

  • Large sample size = more representative of wider population

  • Can make accurate generalisations if they pay attention to getting a representative sample

  1. Hypothesis testing

  • Can identify cause and effect relationships

10
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1 aspect of questionnaires that positivists don’t like

  1. Open-ended questions

  • Open-ended questions can mean non-identical answers get pushed together when creating quantitative data

11
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Invalidity - aspect of questionnaires that interpretivists don’t like

  1. Snapshots

  • Only give a picture of social reality at the moment the respondent answers the questions

  • Don’t capture changes in attitudes and behaviour

  1. Lack of researcher/detatchment

  • Questionnaires fail as they’re too detached

  • There is no way to clarify what the questions mean to the respondent or deal with misunderstandings

  • Also no way of knowing if the researcher and respondent interpret the question in the same way

  1. Imposition of researcher’s meaning

  • By choosing what to ask, the researcher has already decided what’s important to them

  1. Types of questions

  • Closed-ended questions prevent respondents from discussing what is actually important to them

12
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Validity - Cicourel (1968)

  • We have to share the subject’s meaning and see the world as they do

13
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Validity - Shipman (1997)

  • Researchers themselves ‘prune and bend the data’

    • This means they distort respondent’s meanings and undermine the validity of the data

14
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Ethical positives

  • No obligation to answer sensitive/invasive questions

    • Still need an ICF and to ensure anonymity

15
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Examples - Willmott and Young - explanation

  • Studied who did what in households

16
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Examples - Willmott and Young - strengths and limitations

  • Strengths:

    • Clear statistical data

  • Limitations:

    • Analysis not so good

      • Any ‘help’ with trad. fem. tasks seen as shared role, even if once a month

17
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Examples - Townsend - explanation

  • Developed index to determine % of population that were poor

18
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Examples - Townsend - strengths and limitations

  • Strengths:

    • Revealed levels of poverty hidden in offical stats

  • Limitations

    • Not valid

      • Said that not eating meat = poverty

        • Does vegetarianism not exist…?

19
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Examples - Kelsall - explanation

  • Postal survey to large numbers of grads in years after they finished uni

20
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Examples - Kelsall - strengths and limitations

  • Strengths:

    • Accessed a large sample

  • Limitations:

    • Those who chose not to participate may have been the most interesting

21
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Types of questionnaires - explanation, strength and limitation - postal/mailed

  • Posted or emailed to a participant

  • Strengths:

    • Distribute quickly and effectively to a large sample

  • Limitations:

    • Low response rate

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Types of questionnaires - explanation, strength and limitation - self-completion

  • Subject fills in the questionnaire themself

  • Strengths:

    • Saves researcher time

  • Limitations:

    • Cannot clarify question meaning

23
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Types of questionnaires - explanation, strength and limitation - researcher present

  • Researcher present during completion of the questionnaire

  • Strengths:

    • Can clarify question meanings and ensure all filled out okay

  • Limitations:

    • Stupidly time-consuming for both parties

24
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Limitations of website questionnaires

  • Unrepresentative!

    • Website readership is often a specific demographic - political bias, socioeconomic

    • Not everyone can access the internet (class)

    • Not everyone has the time and energy to complete it (full/part time workers, disabled people)