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Data collection – questionnaires and surveys
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Aims of the session To understand the different types of questionnaires/surveys To decide on a sampling strategy for your surveys To be aware of how to design an effective questionnaire To explore the use of Survey Monkey
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Quick recap What is the difference between quantitative and qualitative data? What is meant by validity and reliability?
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Selection of participants or sampling
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Sampling methods Opportunity sample
Selecting those people that are available Volunteer sample Ask for people wanting to take part Random or probability sample Draw names out of a hat Systematic sample Selecting every 10th person on a list Stratified sample Selecting equal boys and girls
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Ethical issues to consider:
Rights of privacy of individuals Voluntary nature of participation Has consent been given Confidentiality of data provided Data collection methods Data analysis and reporting Behaviour and objectivity of the researcher
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Design a questionnaire
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Questionnaires A questionnaire is a set of questions designed to collect information about a topic What do you want to find out? How does this fit into your research objectives? How will you analyse the data obtained?
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What are the advantages & disadvantages of questionnaires?
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Advantages of questionnaires?
Economical – can give a large amount of data for low cost (materials, time, money) Easier to arrange than interviews Supply standardised answers as respondents are posed exactly the same questions Encourages pre-coded answers
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Disadvantages of questionnaires?
Pre-coded questions can be frustrating and can deter them from answering Pre-coded questions can bias findings towards the researchers view rather than the respondent’s viewpoint Low response rates from postal questionnaires ??Truthfulness of the answers
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When is it appropriate to use a questionnaire?
Large data Straight forward information Open climate to allow full and honest answers Need for standardised data without needing face-to-face interaction Time allows for inbuilt delays to obtaining data
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Routine essentials for a questionnaire design?
Who is the sponsor/author? What is its purpose – what is the information for and how will the information be used? Return date and address/contact Confidentiality statement Thanks for completion
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Length of the questionnaire
Only ask those questions which are vital for the research Weed out any duplicate questions Make completion as straightforward and speedy as possible Pilot the questionnaire to see how long it takes to answer and to iron out any problems/ ambiguity
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Writing good questions
Short / Clear / unambiguous Single questions Free from bias / no leading questions Open v closed questions Not open to misinterpretation Logical ordering ? Space to answer open-ended questions Easy to analyse / can be cross-analysed ? Use of controlled conditions
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Asking questions in the right way
How satisfactory was your experience of the parents evening? What is your place of residence Some people say that the council is spending too much on building new schools. Do you agree or disagree? Do you think schools should spend more class time on reading and maths? What is your age? Is the time given for reading in school adequate? To what extent is the school spending too much time on phonics What do you think of the OfSTED good practice guide on Maths in Primary Schools?
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Some examples to review
Questionnaires Some examples to review
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X More top tips http://www.youtube.com/watch?v=53mASVzGRF4
Only ask questions that are relevant to your research
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Online surveys Survey monkey www.surveymonkey.com/ Google forms
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Questionnaires Start to design questions that you could use to collect data for your research Try them out on your neighbour to see if they obtain the answer that you were expecting! What other factors would you need to consider when you are planning to conduct a questionnaire / survey?
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