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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
Open-ended questions
Respondents able to give own answer in own words
No pre-decided choices
3 practical positives
Quick
Can gather data from a large sample of people, and with a good geographical spread if postal or online
Cheap
Don’t need staff to conduct them
Quantifiable
Especially when using close-ended questions as can be easily processed by a computer and turned into a graph etc.
Quick - example
Connor and Dewson (2001)
Sent out 4,000 questionnaires to 14 HE instutitons across the country
5 practical negatives
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
Can be costly
Depending on the group/topic/length of questionnaire, incentives may be needed
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
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
Inflexibility
Once sent out, researchers are stuck with their questions and cannot change them to explore new areas of interest
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
Low response rate - example
Hite (1991)
Sent out 100,000 questionnaires
Only 4.5% returned
2 aspects of questionnaires that make them reliable
Postal/online - no researcher present
Means they cannot influence responses and impose their meaning on the answers
Questionnaires can be identical in questions, order of questions (and answer choice)
This means they can be repeated by any researcher
3 aspects of questionnaires that positivists like
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
Representativeness
Large sample size = more representative of wider population
Can make accurate generalisations if they pay attention to getting a representative sample
Hypothesis testing
Can identify cause and effect relationships
1 aspect of questionnaires that positivists don’t like
Open-ended questions
Open-ended questions can mean non-identical answers get pushed together when creating quantitative data
Invalidity - aspect of questionnaires that interpretivists don’t like
Snapshots
Only give a picture of social reality at the moment the respondent answers the questions
Don’t capture changes in attitudes and behaviour
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
Imposition of researcher’s meaning
By choosing what to ask, the researcher has already decided what’s important to them
Types of questions
Closed-ended questions prevent respondents from discussing what is actually important to them
Validity - Cicourel (1968)
We have to share the subject’s meaning and see the world as they do
Validity - Shipman (1997)
Researchers themselves ‘prune and bend the data’
This means they distort respondent’s meanings and undermine the validity of the data
Ethical positives
No obligation to answer sensitive/invasive questions
Still need an ICF and to ensure anonymity
Examples - Willmott and Young - explanation
Studied who did what in households
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
Examples - Townsend - explanation
Developed index to determine % of population that were poor
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…?
Examples - Kelsall - explanation
Postal survey to large numbers of grads in years after they finished uni
Examples - Kelsall - strengths and limitations
Strengths:
Accessed a large sample
Limitations:
Those who chose not to participate may have been the most interesting
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
Types of questionnaires - explanation, strength and limitation - self-completion
Subject fills in the questionnaire themself
Strengths:
Saves researcher time
Limitations:
Cannot clarify question meaning
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
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)