Basic questionnaire design Flashcards

1
Q

Define survey

A

A Survey is a general term for any kind of data collection on people’s opinions or behaviour.

E.g. A market researcher asking how you found the facilities at an airport.

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2
Q

Define questionnaire

A

A questionnaire is a set of questions (usually written) that people are asked to respond to – usually on a rating scale.
Thus, a questionnaire can be used as part of a survey
What people do, not how they think
What, how, when, how many…

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3
Q

What simple response categories can be used in questionnaires?

A

• Open ended: the person writes their answer.
• Which brand of toothpaste do you buy?
• How old are you?
• Category tick boxes: Are you aged 18-25, 26-35, etc.
• When should you have categories not actual replies?
• “Sensitive” data; Arbitrary banding; Unable to recover detail.
• Which of these news sources do you read? (tick all that
apply)
• How often do you read them? (daily, weekly, monthly).
• If the question needs them to choose only option from a
selection…
• Then just like your variables for Content Analysis the
categories must be exhaustive and mutually exclusive.
• The use of “Other” as a category.
• Transport to work example…all that apply? Or the longest
distince?

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4
Q

What value is used for a missing answer for questionnaires?

A

either 9 or mode

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5
Q

Ways to deliver a questionnaire?

A

telephone survey
researcher led questioning
paper based questionnaires
Online surveys

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6
Q

Telephone surveys pros and cons

A

• Can get to a wide variety of people geographically.
• How will you select your sample?
• Random number dialling?
• Not everyone has a landline or a mobile.
• And this is related to age – i.e. a biased sample.
• People are often annoyed by cold callers.
• It will rarely be a good time for them.
• You could pre-arrange a good time.
• With postal questionnaires, at least they can fill it in
when they choose. But they mainly forget or throw
it away.
• Telephone surveys are not used very often.

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7
Q

Researcher read questionnaire pros and cons

A

The researcher reads the questions to the participants and fills in the answers for them.

  • Can be pre-arranged by appointment…
  • Or opportunistic, e.g. asking people in a public place.
  • Often used by market researchers on the street.
  • This is the same as a structured interview with pre-determined response choices.
  • The challenge is getting people to stop and take part.
  • Useful if the respondent has difficulties with reading/writing.
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8
Q

Paper based questionnaires. pros and cons

A

• Paper based questionnaires. Can be:
• Handed out to people face to face, and:
• Completed there and then (e.g. in a class).
• Taken away and return by post or to a central point.
• Sent out in the post.
• The challenge is getting people to send it back.
• See response rates.
• You must report your response rates – i.e how
many you sent out compared to how many you
got back.
• Your response rates will be low.

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9
Q

Online Surveys pros and cos

A

• For example:
• Surveynet.ac.uk
• Smartsurvey.co.uk
• Surveymonkey.co.uk
• Onlinesurveys.ac.uk
• Here at Imperial students have access to:
• Qualtrics
• See Imperial website. Also gives tips on writing questions.
• Caution: This makes it seem very easy to produce and send out questionnaires.
• Fine for a survey but if you want a scientific product you need to be trained…these methods are what psychology students are doing for 3 or 4 years! I am giving you the basics of behavioural research methods.
• Even for a simple survey you still need Ethical approval
• The ethics lecture in SiC is part of this module and
examinable.

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10
Q

problems with internet and paper questionnaires

A

In common with postal questionnaires:
• People may ignore the inclusion criteria and fill it in even if they are not in the desired demographic category.
• Especially if there is an incentive such as a £5.00 Tesco voucher.
• Very easy to get bored or affronted and just hit exit.
• No knowledge of non completers (see later).

But also for internet questionnaires:

• Reach a selective (biased) population of users.

* Okay if you are aiming for a young, relatively wealthy and educated sample.
* On the positive side they are cheap and fast to distribute.
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11
Q

How to improve questionnaire response rates

A

• Don’t make the questionnaire too long.
• Four sides A4/40 questions max as a rule of thumb, but depends…
• It can be more if the participants are motivated in
some way. E.g. it will improve their own experience of something, e.g. their local area.
• Incentives help – tokens, entry into a prize draw.
• Explain why the results of the study are important (in your cover letter). More likely to give up their time.
• They need a prepaid return envelope if posted.
• Coloured paper is helpful in an office environment.
• Sending reminders – if you know who has received the questionnaire and it is not too expensive (e.g. email reminders).

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12
Q

What should you consider when conducting populations sampling measurements?

A

representative?
Random?
Convenience?
Systematically biased - self selected; accidental?
Chosen sub samples - women, commuters, students
Ask for demographic details or focus on the group only

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13
Q

What is volunteer and completion bias?

A
  • Only a small proportion of people given questionnaires return them.
  • If you send them out randomly then you only have demographic data on those who reply.
  • We do not know anything about the people who didn’t respond.
  • Those who answer may be different somehow – and in a systematic way.
  • For example, those who volunteer to take part in research are typically more educated than the general population average.
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14
Q

Problems when the wrong people fill out the questionnaire

A
  • Even though you specify who you want to complete the questionnaire in your introduction…
  • You get people who were not in your inclusion criteria.
  • This can happen with paper and online questionnaires.
  • Some people add a question to check.
  • For example, you only want male students and said so at the start.
  • But now a whole load of women have filled it in and ticked female on the questionnaire.
  • Did they not read the introduction?
  • This will be particularly problematic if there is a financial incentive.
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15
Q

Wording questions for questionaires

A

• Keep questions short and simple.
Avoid question that are too general.
• For instance “Do you agree with current terrorist sentencing policy?”
• Covers much they may not know about, or they may agree with some but not all aspects.
Avoid implying the socially desirable answer or asking leading questions:
• Most people think single use plastics should be restricted, do you?
• Do you agree that terrorists released from prison are a serious danger to the community?

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16
Q

Question types to avoid in questionnaires

A

Modifiers/qualifiers
two part questions
other peoples views
negative directional questions/double negatives

17
Q

other questionnaire methods

A

button push for one question
line measure (need to measure, easier to use a Likert scale)
anchoring (eg pain scale)
pick a day - how to pick an ‘average’ day
Semantic differential scale - old and not used much nowadays

18
Q

Things to go with a questionnaire?

A
An introductory letter explaining…
    • Who you are
    • What the research is about
    • What is required of them
    • A number of things required by ethics (which we
will covered in SiC).
• Information on how to return the
questionnaire.
19
Q

Potntial questionnaire sub sections

A
• Often start with “About you”
• Here you collect any demographic
information you need.
• Age, gender, education, etc.
• And you need to end with:
• THANK YOU VERY MUCH FOR YOUR TIME
AND CO-OPERATION
• Put this centred at the bottom of the last
page.
20
Q

How to tackle anonymity in a questionnaire?

A

• You can’t collect any information that could
identify the respondent.
• But you must be able to find that person’s data
should they wish to withdraw it from the study.
• Number the questionnaire with a code.
• And now you have to explain to them what the
number is for and that they should remember
it.

21
Q

How do you treat open ended questions in a questionnaire?

A

with content analysis