RESEARCHING THE REAL WORLD



MAIN MENU

Basics

Orientation Observation In-depth interviews Document analysis and semiology Conversation and discourse analysis Secondary Data Surveys Experiments Ethics Research outcomes
Conclusion

References

Activities

Social Research Glossary

About Researching the Real World

Search

Contact

© Lee Harvey 2012–2020

Page updated 29 April, 2020

Citation reference: Harvey, L., 2012–2020, Researching the Real World, available at qualityresearchinternational.com/methodology
All rights belong to author.


 

A Guide to Methodology

8. Surveys

8.1 Introduction to surveys
8.2 Methodological approaches
8.3 Doing survey research

8.3.1 Aims and purpose
8.3.2 Background to the research
8.3.3 Feasibility
8.3.4 Hypotheses
8.3.5 Operationalisation
8.3.6 How will data be collected and what are the key relationships?
8.3.7 Designing the research instrument
8.3.8 Pilot survey
8.3.9 Sampling
8.3.10 Questionnaire distribution and interviewing
8.3.11 Coding data
8.3.12 Response rate

8.4 Statistical analysis
8.5 Summary and conclusion

8.3.12 Response rate
A major problem with surveys is ensuring a sufficient response rate; that is, the number of people in the sample who agree to participate in the survey. The response rate for postal questionnaires is often very low, between 10% and 40%. Online surveys also tend to have low response rates (often below 10%). For schedules administered by interviewers the response rate is usually higher, between 40% and 80%.

A sample is chosen to represent a population and if, say, only 30% return their questionnaires then the research becomes problematic. You have to ask whether the group of people who returned questionnaires differ from those who did not? In short, the problem with non-response is that you are unlikely to know whether the people who responded are a biased subgroup. The bigger the non-response the bigger the risk of distortion in the data.

Response rates to mailed questionnaires can be improved by various techniques. Researchers should enclose stamped reply envelopes, and some pre-contact is likely to be advantageous. Follow-up procedures, such as sending reminders, will usually lead to increased response rates. Economic incentives also seem certain to raise response rates but may increase costs to unacceptable levels. The questionnaire should be constructed in a way that is likely to appeal to the respondent. It should direct itself to arousing, rather than assuming, the interest of the respondent (Harvey, 1987a).

Many of the same techniques need to be employed for electronic questionnaires, not least pre-contact, which given the huge amount of electronic junk mail, is essential to inform potential respondents of the imminence of a questionnaire. The more personalised the communication containing the electronic questionnaire the more likely the respondent is to take it seriously.

The other issue that arises with response rates is how they are calculated. To know what proportion of respondents have replied requires knowing how many respondents were in the sample in the first place. Sometimes on-line surveys are sent to non-specified membership lists or are forwarded by initial recipients, so there is no way of knowing how many people are in the sample, resulting in guestimates as to the response rate.

Another aspect of response rate calculation is what to count as a response. If the questionnaire is returned but not completed, or only partially completed, does this count as a response. Most researchers note the number of responses and the number of usuable responses for the analysis. The latter is usually regarded as the statistic by which to calculate the response rate.

Next 8.4 Statistical Analysis

 

Top