Icology Research Solutions. Our key message to our customers is 'Market Research is an Investment not an expense'

Tuesday, October 23, 2007

Tips of the week

Web Design Tips

Keep it clean!
Avoid distracting backgrounds, illegible type fonts and excessive amounts of flash animation. A simple and clean web design will enable users to find information easily

Design and Marketing tips

Use pictures not words in your exhibition materials

If you have exhibitions coming up, forget about wordy exhibition graphics...people are more liklely to look at a picture than stop to read lots of text

Writing marketing copy tips

Build a rapport

By using an informal tone you will build a better rapport with your readers. Avoid using any jargon and technical speak. use plain english.

For more information come to Icology Research Solutions

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Friday, October 05, 2007

Sample Size for Market Research

If you want to read the full paper 'Sample size for Qualitative research by Peter DePaulo please do go here

This is a precis of this paper.

This chart allows you to work out what a suitable sample size is for your project.


For example, if the research team would want to discover a perception with an incidence as low as 10 percent of the population, and if the team wanted to reduce the risk of missing that subgroup to less than 5 percent, then a sample of N=30 would suffice, assuming random selection. (To be exact, the risk shown in the table is .042, or 4.2 percent.) This is analogous to having 95 percent confidence in being able to discover a perception with a 10 percent incidence. Remember, however, that we are expressing the confidence in uncovering a qualitative insight - as opposed to the usual quantitative notion of “confidence” in estimating a proportion or mean plus or minus the measurement error.


If the team wants to be more conservative and reduce the risk of missing the one-in-10 subgroup to less than 1 percent (i.e., 99 percent confidence), then a sample of nearly 50 would be needed. This would reduce the risk to nearly 0.005 (see table).

So in short if you want to carry out some depth interviews, product testing and so on and you need to know how many people you need to interview so that you can generalise to the who population the answer is:

N = 30 if you want to have 95 per cent confidence in your answers or findings

or

N = 50 if you want to have 99 per cent confidence in your answers or findings

This use of the word 'confidence' means that you have confidence that 95% or 99% of the whole population would have answered the same way had they been asked.

For more information or help with your research project go to http://www.icology.co.uk/ or email rob at robaticology.co.uk (please change the at for @)

Wednesday, October 03, 2007

Top tips of the week for Market Research


  1. Identify with your target audience

Ask yourself the following questions before you begin writing marketing copy. Who is your target audience? How would they like to be spoken to? What are the benefits of what you are offering.

*Market Research can answer these questions*

2. Be Consistent with your brand so you project the right image

Do a quick check around the office to make sure your brand is consistent across all your marketing materials like business cards, literature, website exhibition graphics, sinage and vehicle liveries. Do you know what your customers actually think of your brand?

*Market Research can answer these questions*

3. Establish the purpose of your website.

A good website can increase sales. Decide how long you want your visitors to stay for and what action you want them to take, for example buying somethinig, calling you or gaining information. Website usability studies are quick and cheap ways of finding out about how the consumer uses your website.

Market Research is an investment not an expense.

Go to http://www.icology.co.uk/ for more information

Wednesday, September 26, 2007


Focus Groups and focus group research



Focus group research involves organised discussion with a selected group of individuals to gain information about their views and experiences of a topic.

Focus group interviewing is particularly suited for obtaining several perspectives about the same topic.

The benefits of focus group research include gaining insights into people’s shared understandings of everyday life and the ways in which individuals are influenced by others in a group situation.

Problems arise when attempting to identify the individual view from the group view, as well as in the practical arrangements for conducting focus groups.

The role of the moderator is very significant. Good levels of group leadership and interpersonal skill are required to moderate a group successfully.



Powell et al define a focus group as a group of individuals selected and assembled by researchers to discuss and comment on, from personal experience, the topic that is the subject of the research. (1996: 499) Focus groups are a form of group interviewing but it is important to distinguish between the two. Group interviewing involves interviewing a number of people at the same time, the emphasis being on questions and responses between the researcher and participants. Focus groups however rely on interaction within the group based on topics that are supplied by the researcher. (Morgan 1997: 12)

Grounded Theory

The approach I take is based upon the Glaser and Strauss (1967) Grounded Theory method, albeit simplified. In sum Grounded Theory begins with a research situation. Within that situation, your task as researcher is to understand what is happening there, and how the players manage their roles. This is mostly done through observation, conversation and interview. Constant comparison is the heart of the process. At first you compare interview (or other data) to interview (or other data). Theory emerges quickly. When it has begun to emerge you compare data to theory. The task is to identify categories (roughly equivalent to themes or variables) and their properties (in effect their sub-categories). Thus the theory or results are emergent -- discovered in the data.

Sampling
The initial sample is likely to be defined by the choice of research situation. If there are many people associated with the situation, you might begin by putting together as diverse a sample as you are able. As categories emerge from the data, you then seek to add to your sample in such a way that you further increase diversity in useful ways. Your purpose is to strengthen the emerging theory by defining the properties of the categories, and how those mediate the relationship of category to category. Glaser and Strauss refer to this as theoretical sampling. The sample is emergent, as is the theory and the method generally.

Sampling is reinforced through the use of the triangulation method. This enables us to generate a representative sample. So by combining multiple observers, theories, methods, and empirical materials, we can hope to overcome the weakness or intrinsic biases and the problems that come from single method, single-observer, single-theory studies.

Thus in recent work carried out at the University of Plymouth focus groups have been triangulated in the following ways. For work that involved testing posters three target areas were identified. 1. The Local Plymouth/Cornwall Area, 2. Hampshire 3. Bristol. The rationale behind this was that the local area would act as a control while Hampshire and Bristol were specific target areas for the marketing department’s poster campaign. Once those areas were selected further triangulation was carried out with the selection of schools. In each area different types of schools were selected i.e. Comprehensive, Grammar and Private Schools were visited. Within the groups one also attempts to meet with a mixed selection of students in terms of gender, subject interests and so on.

Size

The recommended number of people per group is usually six to ten (MacIntosh 1993) less than six and people start to become self conscious about speaking and above ten it becomes harder for the researcher to handle the group and also people can ‘hide’ and not contribute. Six is probably the minimum as we are attempting to generate conversations rather than conduct one-to-one interviews. Incentives, whether expenses, gift vouchers or presents, will usually need to be offered.



Length of Time

The optimum length of time for a group is between 40 minutes and one hour although for web page utilisation research it might be one and a half hours. The length of time is often constrained by other factors i.e. in schools to a 40 minute lesson slot, room booking restraints, costs and so on. As a rule of thumb for a very small uncommunicative group 40 minutes is a long time with larger active groups one hour is too short.

The role of moderator
Once a meeting has been arranged, the role of moderator or group facilitator becomes critical, especially in terms of providing clear explanations of the purpose of the group, helping people feel at ease, and facilitating interaction between group members. During the meeting moderators will need to promote debate, perhaps by asking open questions. They may also need to challenge participants, especially to draw out people’s differences, and tease out a diverse range of meanings on the topic under discussion. Sometimes moderators will need to probe for details, or move things forward when the conversation is drifting or has reached a minor conclusion. Moderators also have to keep the session focused and so sometimes they may deliberately have to steer the conversation back on course. Moderators also have to ensure everyone participates and gets a chance to speak. At the same time moderators are encouraged not to show too much approval (Kreuger 1988), so as to avoid favouring particular participants. They must avoid giving personal opinions so as not to influence participants towards any particular position or opinion. The role of the moderator is a demanding and challenging one, and moderators will need to possess good interpersonal skills and personal qualities, being good listeners, non-judgmental and adaptable. These qualities will promote the participants’ trust in the moderator and increase the likelihood of open, interactive dialogue.

Ethical issues
Ethical considerations for focus groups are the same as for most other methods of social research (Homan 1991). For example, when selecting and involving participants, researchers must ensure that full information about the purpose and uses of participants’ contributions is given. Being honest and keeping participants informed about the expectations of the group and topic, and not pressurising participants to speak is good practice. A particular ethical issue to consider in the case of focus groups is the handling of sensitive material and confidentiality given that there will always be more than one participant in the group. At the outset moderators will need to clarify that each participant’s contributions will be shared with the others in the group as well as with the moderator. Participants need to be encouraged to keep confidential what they hear during the meeting and researchers have the responsibility to anonymise data from the group.

Glaser, Barney G., and Strauss, Anselm L. 1967. The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine, pp. 271.
Homan R (1991) Ethics in Social Research. Harlow: Longman.
Kreuger R.A. (1988) Focus groups: a practical guide for applied research. London: Sage.
MacIntosh J. (1981) ‘Focus groups in distance nursing education’, Journal of Advanced Nursing 18: 1981-85.
Morgan D.L. (1997, 2nd Edition) Focus groups as qualitative research. London: Sage
Powell R.A. and Single H.M. (1996) ‘Focus groups’, International Journal of Quality in Health Care 8 (5): 499-504..

For more information http://www.icology.co.uk/

Tuesday, September 18, 2007

A message about market research from Bob Dylan

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Tuesday, September 04, 2007

Quantitative Research Response Rates.

Questionnaires.



Whenever people commission quantitative research they are always focused upon the response rates. They want to know how many responses they will get back, they want to see a good response. Yes obviously as market researcher we will do whatever we can to get a good response and there are any number of techniques we can use to make sure that response rates to questionnaires are as good as we can make them. However there is never any guarantee that the response rate will do as well as we might have first expected. And this is for any number of reasons. Of course as researchers we cannot simply force people to fill in questionnaires and send them back to us. This is why an incentive is always an important consideration when you are designing and costing any piece of research.

We can of course use companies that will guarantee a particular response rate by using panels. Of course the people on these panels are paid money to fill in surveys so one of the first things we must ask about our results is how valid are these results if the only reason people have returned the questionnaire is because they have been paid? Is that the right use of a financial incentive?

What we want to try to do is generate a situation where we have confidence in our results and that we can claim them to be valid against any counter claims. One of the ways in which we can do this is through the use of statistics. If we look at the figures below we can see the number of responses we will need against each total universe that would allow us to have 95% confidence in the results. This means that we are 95 per confident that if we asked the whole universe or group then the results would remain the same. So for example if we send out 100,000 questionnaires and received back 380 valid responses we would be 95 per cent confident that had all 100,000 respondents sent back the questionnaire the results would have been the same. Similarly if we our research universe was 55 people we would need to receive 48 questionnaires back to have a similar 95 per cent confidence in the results.

Number in research universe No of responses for 95% confidence
100,000 - 380
30,000 - 380
20,000 - 380
8,000 - 370
7,000 - 365
4,000 - 350
3,500 - 345
2,400 - 330
1,600 - 310
1,100 - 285
800 - 260
550 - 230
340 - 180
260 - 155
160 - 113
110 - 86
55 - 48
35 - 32
10 - 10

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Wednesday, December 20, 2006

Want more data?

If you need more data why not go to swivel.com?

Swivel.com brings graphs and tables into the world of web 2.0 by allowing users to upload, share and compare their own data. It describes itself as “a fun data-exploration website for curious people”.

It currently has 1406 data sets covering topics including national populations, online game usage, military casualties and beverage consumption. The site has potential for researchers and data collectors to publicise and share findings, and could be a useful tool for desk research.

Some of the data has been collected by users themselves, while some is credited to official sources, with links provided to the relevant websites. Users can make their own analyses and bring data sets together to make comparative graphs.

Go and have a look!

http://www.swivel.com/