GUIDANCE 5.3 – SAMPLING
CALCULATING
SAMPLING SIZE
Framing
questions
Designing
a postal or self completion questionnaire
Designing
face-to-face or telephone interviews
Types
of Questions
Piloting
the questionnaire/interview
Raising
response rates for postal questionnaires
Raising
response rates for face to face interviews
Raising
response rates for telephone interviews
GUIDANCE
5.3 – SAMPLING
The
guidance below sets out the various methods of sampling. For guidance on Sample Size click
here
Random Sampling
Random
sampling is a sampling technique where you select a group of subjects (a sample) for study from a larger
group (a population). Each individual is chosen entirely by chance and each member of the population
has a known, but possibly non-equal, chance of being included in the sample.
By
using random sampling, the likelihood of bias is reduced.
Simple
Random Sampling
Simple random sampling is the basic
sampling technique where we select a group of subjects (a sample) for study from a larger group (a population).
Each individual is chosen entirely by chance and each member of the population has an equal chance of
being included in the sample. Every possible sample of a given size has the same chance of selection;
that is, each member of the population is equally likely to be chosen at any stage in the sampling process.
Stratified
Sampling
There may often be factors which divide up
the population into sub-populations (groups / strata) and we may expect the measurement of interest
to vary among the different sub-populations. This has to be accounted for when we select a sample from
the population in order that we obtain a sample that is representative of the population. This is achieved
by stratified sampling.
A stratified sample is obtained by
taking samples from each stratum or sub-group of a population.
Cluster
Sampling
Cluster sampling is a sampling technique where
the entire population is divided into groups, or clusters, and a random sample of these clusters are
selected. All observations in the selected clusters are included in the sample.
Quota
Sampling
Quota sampling is a method of sampling widely
used in opinion polling and market research. Interviewers are each given a quota of subjects of specified
type to attempt to recruit for example, an interviewer might be told to go out and select 20 adult men
and 20 adult women, 10 teenage girls and 10 teenage boys so that they could interview them about their
television viewing.
For further information contact the Research
and Intelligence Unit, County Hall, Spetchley Road, Worcester, WR5 2NP – Tel 01905 766175
(With
Thanks to Lancashire University for the information)
CALCULATING
SAMPLING SIZE
Sample sizes are not dependent upon the
size of the population. As long as the sample represents a small proportion of the population and is
randomly selected, then it will give reasonably accurately results. For general surveys, most research
companies use 1,000 responses.
If
you want to analyse sub-groups, you will need at least 100 responses from each group to ensure a degree
of accuracy – so you could begin by deciding how you want to analyse the results and build up a sample
size from there. For example if you wanted to look at the differences between men and women – you will
need at least 100 men and 100 women in your sample. If you have a range of different age groups or ethnic
backgrounds, then again you will need to ensure you have at least 100 people in each category.
For
postal surveys, you will need to send out to a wider sample to make up for low returns.
SAMPLE
ERROR
Surveys represent
a snapshot in time and can only be approximate: if another sample was selected, the results may differ.
In a random sample, it is possible to calculate this ‘sampling error’ and the results are often called
‘confidence limits’. Generally, the larger the sample size, the lower the sampling error will be.
For
example, the table below shows the approximate error for a question where 50% of respondents gave a
particular answer:
Sample size Error(+/-%)
100 10
200 7
500 4
1000 3
(IdeA Knowledge)
For
more information on Sampling, Calculating Sample Size and Confidence Intervals view the Brent Council
Consultation Toolkit.
http://www.brent.gov.uk/consultation.nsf/24878f4b00d4f0f68025663c006c7944/1ba5f40a89659aaa80256b28005e24ff/$FILE/Consultation%20Toolkit%20Apr%202002.docSAMPLE
SIZE CALCULATOR
Use this
handy sample size calculator:
http://www.surveysystem.com/sscalc.htmFraming
questions
- Questions should be ‘neutral’ and
not lead people to answer in a particular way.
- Do not ask two
questions in one, or make the question too long and overcomplicated.
- Do
not use difficult or technical language or ask hypothetical questions such as asking the respondent
to imagine their reaction in a different situation.
- Where possible
use pre-coded, tick box response questions where the answers are provided for the respondent to simply
tick their choice or in the case of face-to-face surveys read out a number on a showcard.
- Avoid
open-ended questions, people are less likely to answer these as they require work and thought on their
behalf. Open-ended questions involve a heavy workload in terms of data processing and analysis.
Designing
a postal or self completion questionnaire
- Split
the questionnaire into sections that flow logically and begin with a brief paragraph introducing each
section.
- Keep the wording and design consistent throughout the
survey.
- Choose an appropriate font and size (11-13pt) and highlight
questions and important text in bold. However do not go over top with formatting!
- Design
the questionnaire so that is appealing to the eye. Do not overload pages with questions or information,
white space is a good thing. Maximise your margins to make full use of the space on the page.
- Number
questions and parts of questions logically and clearly.
- Provide
‘GO TO’ rules instructing respondents where to go and what questions to answer next. Think about how
changing the order of your questions can help this.
- Help the respondent
by stating ‘Tick one only’ or ‘Tick all that apply’.
- Be consistent
in your design and question framing i.e. always fro from positive to negative or 1 to 5.
- Ask
straightforward questions first, leaving any sensitive, more difficult or contentious questions until
last. You can ask ‘About You’ questions either at the beginning or the end of the survey.
- Do
ask ‘About You’ questions which will add value to your analysis. Analyse results by groups such as age
group, sex, district etc and compare results to see how opinions vary. What you ask here depends on
your survey topic.
- If you ask open ended questions ensure you leave
enough space for comments. Provide blank boxes rather than lines which limit what people can fit in,
everyone’s handwriting is different. Also consider how you are going to analyse this information and take it into account.
Designing
face-to-face or telephone interviews
- Give the
interviewer(s) a detailed briefing about the purpose of the exercise and how you are going to use the
results. Provide a laminated letter of authenticity for the interviewer to show the respondent.
- Everything
the interviewer needs to say should be provided on the questionnaire for them to simply read out to
the respondent.
- Split the questionnaire into sections that flow
logically. Write brief introductions that the interviewer reads out before each section.
- Keep
the wording consistent throughout the survey.
- Number questions
and parts of questions logically and clearly for the interviewer to follow.
- Provide
detailed instructions, verbatim and ‘GO TO’ rules for the interviewer to follow throughout the whole
survey. Think about how changing the order of your questions can help this.
- The
interviewer should indicate to the respondent questions where they can choose one option or more than
one.
- For face-to-face surveys use laminated showcards that list
and number the responses to each question. The respondent then simply reads out the number that matches
their answer.
- Be consistent in your design and question framing
i.e. always from positive to negative or 1 to 5.
- Ask straightforward
questions first, leaving any sensitive, more difficult or contentious questions until last. You can
ask ‘About You’ questions either at the beginning or the end of the survey.
- Do
ask ‘About You’ questions which will add value to your analysis. Analyse results by groups such as age
group, sex, district etc and compare results to see how opinions vary. What you ask here depends on
your survey topic.
- If you ask open-ended questions ensure you leave
enough space for comments that the interviewer writes down. Provide blank boxes rather than lines which
limit what people can fit in, everyone’s handwriting is different. Also consider how you are going to analyse this information and take it into account.
Types
of Questions
Pre-coded or closed questions
– a list of pre-coded responses are provided for the respondent to simply ring or tick. Each option
is assigned a numeric code which is used for data input and analysis. The option of ‘Other’ may also
be offered with space for respondents to write in their answer. Be sure to include a full range of options
so that you don’t get lots of people ticking ‘Other’.
Rating
or attitude scales – can be used to measure agreement or satisfaction. Ensure that you provide a fair range of responses that are balanced e.g.
How
satisfied are you with the bus service overall?
Very satisfied,
Fairly satisfied, Neither, Dissatisfied, Very satisfied
Or
To
what extent do you agree or disagree with the following statement “The quality of Council services is
good overall”
Strongly agree, Agree, Neither, Disagree, Strongly
agree.
Open ended questions – for these
question types no categories or answers are suggested, the respondent is free to
express themselves in their own words.
E.g.
Why are you dissatisfied or very dissatisfied with the service provided?
(Please
write in the box below)
Classification
questions – ‘About You’ questions such as sex, age group, employment status, tenure, ethnicity.
These are very useful in breaking down the results into different groups for analysis.
Piloting
the questionnaire/interview
Pilot the questionnaire
before doing it for real. Test either with colleagues or a sample of people. Check the questionnaire
and showcards thoroughly for spelling errors, go to rules, instructions, responses, question numbering
and coding. Do take people’s feedback into account, if they say they don’t understand something or find
it difficult to complete or answer then you should do something about it! Time how long it takes someone
to complete the questionnaire or interview it may take longer than you think.
Raising
response rates for postal questionnaires
- Include
the Worcestershire County Council logo on the mailing envelope will aid recognition and makes your letter
stand out from the rest. Reprographics can arrange to have our logo printed on your envelopes, note
this can take up to 4 weeks.
- Include a clear, concise covering
letter signed by an appropriate senior officer signifying its importance. Underline what will happen
with their answers, explain why it is important that they respond.
- Don’t
make your questionnaire too long people will be put off straight away. Consider stating how long it
should take them to complete or using another method.
- Include a
pre-paid envelope so that people can easily return their completed survey.
- Send
a reminder or reminders two to three weeks after you sent the survey. You should only send reminders
to those people who have failed to respond. Sending reminders to everyone is wasteful and will be perceived
as inefficient. To do this you must assign ID numbers to the people you send surveys to. This ID number
is then written onto the survey and recorded as completed surveys are returned.
- Offer
an incentive. Selecting one respondent at random who wins an appropriate prize. Ensure you do not over
or under spend and cash may not always be appropriate (it can affect people’s benefits) consider vouchers.
LINK See Social Services guide to incentives LINK
Raising
response rates for face-to-face interviews
- Send
a letter in advance of the interviewer calling at the respondent’s house, explain what the survey is
about and why it is important. Include your contact details so that residents can contact you should
they not wish to take part.
- Interviewers should carry and ID badge
and a signed letter of authentication.
- Brief the interviewer fully
so they can answer any questions the respondent might have about the survey.
- Give
interviewers a clear opening statement to read out when they call at a person’s house. Don’t be too
forceful but be persuasive and truthful.
- Give an indication of
how long the interview might take.
- If residents appear reluctant
offer to call back at a more convenient time.
- Interviews are best
conducted in the evening or weekends. If residents are out interviewers should call back at least 4
times. Leave a calling card/letter asking them to contact you to arrange an interview.
- Offer
an incentive such as entry into a prize draw.
Raising
response rates for telephone interviews
- Give
interviewers a clear opening statement to read out when they call at a person’s house. Don’t be too
forceful but be persuasive and truthful.
- Give an indication of
how long the interview might take.
- If residents appear reluctant
offer to call back at a more convenient time.
- Interviews are best
conducted in the evening or weekends. If residents are out interviewers should call back at least 4
times.
- Offer an incentive such as entry into a prize draw.
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