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Consultancy |
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| Questionnaire Design |
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Questionnaire design, in both qualitative and quantitative research, is one of the most important components of the research process that allows the researcher to establish her/his research technique and to obtain the information required on the subject. It is important to have a good understanding of the research model since the questionnaire design determine the content and the comparability of the information gathered as well as the quality of the data collected and the research's cost efficiency.
Bad questionnaires are misleading and are likely to yield meaningless or scientifically and objectively disputable data. So, an awareness of the techniques of questionnaire design is essential to any researcher, as sometimes one missing or excess word can change the meaning of the question and hence, can influence the results. FREKANS is developing questionnaires on a scientific basis conforming to the needs of clients and to the information required, by also using feedbacks from pilot studies conducted with different segments.
In order to gather the desired information with minimum missing data, a crucial factor is the clarity and comprehensibility of the language used in formulating the questions. Particularly, in national surveys, it is important that the questions are formulated as simple as possible so that the respondents understand it easily and give an answer clearly. Otherwise, respondents can draw misleading conclusions because of confusion and complicated range of options. Therefore, before delivering any questionnaire, FREKANS pilot or test the academic, technical and economic terminology to check that it is going to function effectively.Ambiguous questions are then changed in order to minimize loss of data. |
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| Sample Design |
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| As researchers, we are interested in finding results that apply to the entire population. Therefore, we collect data from a small subset of the population (known as a sample) and use data to infer things about the population as a whole. In a market, for example, by looking at few apples, a consumer infers things about how all the apples are. Similarly, by going two-three times to a restaurant, we can recommend it to our friends. Therefore, we can infer things about the entire population by choosing some representatives.
The selection process itself is critical. Theoretically, in order to get full information, we have to have access to the entire population of a geographical area. However, as this would be too costly, we can never access to the entire population. So we need to collect smaller samples that represent the entire population to infer things about it within defined statistical significances. FREKANS, by using an extensive database consisting of statistics, geographic and demographic information, provides sampling design services. The detailed street and district database needed for random sampling and the population demographic database necessary for segmentation are our two main regularly updated data sources. |
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