Effective Questionnaires


Effective questionnaires for all

A step by step recipe for successful questionnaire

Step 1 – First Define Your Project
As with all evaluation before you do anything else answer these questions in this order:

1.       What do I want to find out? Who do you want to find this out from?
2.       Why do I want to find this out?
3.       How will this information be used?
4.       How will I find this out – choose your methodologies (note the plural) and sample?
5.       Who am I finding this out for and how shall I tell them the results?
6.       How much money do I have for this project? How many staff? How much time?

Step 2 – What Type of Survey Do You Want?
OK so you have chosen to do a survey. Here are your options for the type of survey you might want to conduct:

Self-completion questionnaires
pick-up – left lying around on tables or in rubbish bins
on-line – via email or pop-up windows on web pages

Interviews
face-to-face
telephone
postal
email

And here are some hints to help you make your choice of survey

Self-completion questions
Pros                                                                                        Cons
quick                                                                                      no control over sample
cheap                                                                                     exclude people who can’t write mostly get negative comments
often very low return rate

Interviews 
Pros                                                                        Cons
can get representative sample                                           time consuming
can probe for more detailed / useful answers                                costly in terms of staff and money

Summary
Self-completion questionnaires are cheap but largely useless. You really don’t have any control over your sample.

With self-completion questionnaires you have no chance of obtaining a representative cross-section of your audience. Children, hassled parents with children, people without a pen, people who cannot read or write English and people who are generally happy with the Museum, will not be included in a self-completion survey. Instead you will end up surveying a few highly motivated individuals who are often incredibly pissed-off about something. Interviews are more costly and time-consuming but give you much more reliable data. 

The only time it is worth using self-completion questionnaires are:
·         When you want to do a quick pilot study
·         When you want to develop a formal customer complaints system
·         When you can ‘force’ a representative sample to complete the questionnaire e.g. a school group who will be ‘encouraged’ and supervised by a teacher

A word or two about postal, email and web questionnaire
Postal questionnaires
Postal questionnaires can be a very effective method of interviewing people but you must get a return rate of at least 60% for the data to be consider reliable.
 
Your first letter will elicit a return rate of about 10-20%. Your second (reminder letter) will increase this to about 30-40%. Hopefully your third reminder (plus repeat copy of the questionnaire for all those people with hungry dogs) should get you a return rate of 60% plus. 

Adding an incentive helps – but not all that much and be careful there are legal implications. Prize draws are now tightly regulated.

Email questionnaires
We have found email to be a particularly effective method of surveying adult visitors  (NB around 80% of the Science Museum visitors have access to email at home or work. However, be warned this is not the case for many segments of the population). 

Email questionnaires we use are entirely within the body of the email i.e. they are not an attachment. 

We have found that Friday’s are the best days to send an email questionnaire since many people receive and answer them at work. We generally get a return rate of 50-75%.

Web surveys
Web surveys – where a questionnaire pops up when someone enters a web-site or a particular part of a web-site –generally get a low response rate. On average only 2-3% of people visiting a web-site will complete such a questionnaire. A 5% return rate is considered to be very good. This means that data from such questionnaires must be treated with caution as it is likely that segments of the audience are not being included in the survey for one reason or another. To be fair though pop-up surveys are sometimes the only way to collect data about a web-site’s audience profile.

It is worth adding a ‘cookie’ to the questionnaire so as not to annoy regular visitors who would otherwise be sampled every time that they enter the site. The use of a cookie should also prevent people from giving multiple replies but this system is not fool-proof and many people set up systems to stop cookies being loaded onto their machines.


Step 3 - Quantitative or Qualitative?

Do you want data that you can analyse statistically or do you want very detailed in-depth data? You need to decide before you choose your methodology since this will determine the type of questionnaire you design and the size of sample you will take. 

Here are some questions that will help you decide:
1.       Do you want to know how many people think or do something?
2.       Do you want to find out what the majority view is?
3.       Do you want to find out how views/behaviour vary according to age, gender, frequency of visiting the museum?
4.       Do you need statistical data to convince your audience?
5.       Do you want to understand why people do or think something?
6.       Do you want to find out in detail what people think about something?
7.       Do you want to find out about people’s emotional response to something?
8.       Do you want to explore the range of views that your audience have?
9.       Are you expecting to collect a lot of data from each respondent?

If the answer is yes to questions 1-4 you need quantitative data. This means interviewing a sample of at least 100 people. But remember size of sample does not necessarily equate with quality of sample. The sample needs to be an accurate cross section of your audience and not exclude people who only visit on weekends or who don’t enter the building by a particular entrance.

If the answer is yes to questions 5-9 you need qualitative data. This means interviewing people in much greater depth.  The sample still needs to be carefully and rigorously selected but it will be smaller.
 

Examples
Quantitative research would be required if you were trying to find out …
·         Average length of stay in museum
·         Whether the type of gallery visited is affected by the age of the visitor
·         Whether visitors with experience of using the internet have a different perception of the exhibition

Qualitative research would be required if you were trying to find out …
·         Why visitors of different ages want to visitors different types of gallery
·         The range of views visitors hold about an exhibition
·         Why visitors have such difficult understanding this exhibit

Small does not mean sloppy
Just because a qualitative sample is small does NOT mean that is should be sloppy. You should be just as rigorous in collecting a small sample for qualitative research as a large quantitative sample. Qualitative research is no less rigorous than quantitative research.

Summary
The choice of quantitative or qualitative data should be driven by the needs of the project. It may well be that you need both types of data in which case you have to design more than one type of questionnaire and sampling strategy.

Basically quantitative research is about finding out about what is happening while qualitative data is about finding out why something is happening.

Step 4 - Choosing Your Questions (The Big Step)

Think about your visitors! What are they going to make of your questions? Will they understand what you are after? Are they willing and able to provide this information?

Visitors are not passive recipients of questions who respond in predictable ways to external stimuli. Visitors are trying to work out who you are, why you are asking these questions, how they appear to you, how they feel about themselves. They will be trying to work all this out from how you introduce yourself, your reaction to them, the questions that you ask and the options that you offer them. There are many opportunities to mislead and confuse visitors and this can have a dramatic impact on the quality of your data.

I would therefore recommend two key rules;

i.         Be clear about what you are trying to do
ii.        Clearly explain what you are trying to do to the interviewee

Ultimately the objectives of your research will decide your questions. Everything must be checked against these objectives. One useful strategy is to add to your first draft of your questionnaire a description of why you want to ask each question and what sort of answers you are expecting to get.

However you must also be sure that your interviewees understand your questions in the way that you want them to and can give the answers you require. This depends not only on the wording of your questions but also on your initial introduction, any further explanation you provide, who you interview, where you interview them and many other factors.

When you choose your questions you need to consider many factors. The following section will give you some broad outlines of what to do and what to avoid but the best course of action is to carefully test your questionnaire before you launch your full scale survey (see step 7). What you need to do can be summarised by the acronym TAP

Topic – the topic should be clearly defined for you and for the respondent so that you are both understand what is being talked about
Applicability – The applicability of the question to each respondent should be established. Respondents should not be asked to give information that they do not have
Perspective – the perspective that the respondent should adopt when answering the questions should be specified

Types of question

There are two main types of question and you need to be clear which you want to use and when. Have a look at this scene from everyday life.

Darren – aged 16 –lives at home with his parents Bob and Shirley. He has just been out with his girl-friend, Tracy, to see a film and has returned home around 1.00 am to find his parents are still up. Here’s what happens next …

Bob                        You’re home late?
Darren                    Yeah
Shirley                    Did you have a good time?
Darren                    Yeah
Bob                        Did you see that film?
Darren                    Yeah we did
Shirley                    Was it good?
Darren                    Yeah it was OK
Bob                        Did Tracy like it?
Darren                    Yeah
Bob                        So it was worth seeing then?
Darren                    Yeah it was worth seeing
Shirley                    I‘ve heard a lot about it. Do you think I’d like it?
Darren                    I don’t know maybe (long pause) … well …  I’m off to bed. Night.
Bob                        Night son
Shirley                    Goodnight sweetie-pie
Shirley                    I don’t know what’s wrong with Darren these days he hardly seems to have two words to say to us. 

What problems were Bob and Shirley having communicating with Darren? Was it just his age? Was it his hormones? What was wrong with their questions?

Open or closed?
Open-ended questions are those where visitors have to answer in their own words for example:
If you where describing this exhibition to someone who hadn’t seen it yet what would you say it was all about?

What do you think we could do to improve this exhibition?

Open-ended questions:
·         provide very rich data
·         they do not constrain visitors to answering in your terms
·         elicit much more detailed answers
·         gain greater understanding of interviewee’s opinions
·         allows interviewee to raise issues you did not think of

But …
·         difficult to record answers – may be better tape recording interviews
·         difficult & time-consuming to analyse data - need to categorise answers
·         more difficult for visitors to answer
·         interviewees may not give a relevant answer
·         interviewees may not give a full and comprehensive answer – you must:
o    clearly define the scope of the question
o    explain the perspective you want the interviewee to take i.e. your point of view, you and your family; your community’s points of view etc.
o    probe to ensure that interviewee has fully expressed their point of view and 

Closed questions only offer (or appear to offer) a limited set of answers for example:

Which of the following age categories do you fit into? 

How much did you enjoy this exhibition?

Closed questions also include the following type of question:
Yes/no questions
Have you visited the Science Museum before                yes/no?

Number scales
On a scale of 1 to 5 where 1 is not interested at all and 5 is very interested, how interested would you be in using this exhibit in an exhibition? (and don’t worry I didn’t make this exhibit so I wont be offended by what you say)
1           2          3           4                5
Rating scales

How would you rate the following facilities provided in the Science Of Sport exhibition? I would like you to tell me whether you think they were very good, good, average, poor or very poor.


Very Good
Good
Average
Poor
Very Poor
Don’t know
Staff






Hands on exihibits






Information panels






The shop






Value for money







Scale of agreement
I am going to read you five statements I would like you to tell me whether you strong agree, agree, disagree, strongly disagree or neither agree or disagree with each statement


Strongly agree
Agree
Neither agree nor disagree
disagree
Strongly disagree
Statement 1





Statement 2





Statement 3





Statement 4





Statement 5






Post a Comment

Previous Post Next Post