This paper analyzes the combination of online panel surveys and face to face (using mobile devices) fieldwork methodologies. The Nokia Trends Study and a concurrent Online Panel Survey study were utilized as a base to perform parallel testing. This paper includes a thorough analysis of parallel testing of the Nokia Trends recall study in various countries in Latin America using face-to-face surveys (using mobile devices) and comparing it with a similar online panel research study.
While online panels can reduce the cost and time it takes to undertake research, there is often little understanding of how the quality of the panel affects data integrity and importantly the ability to make reliable business decisions based on the data collected. This paper identifies some components of 'quality' in online data collection and the effect these can have on data integrity. It reviews how components of the online data collection process, particularly the invitation process, can have a dramatic impact on the actual quality of the data collected.
This paper addresses the differences between online panels and online opinion communities. Is an online opinion community the next level of an online research panel?
This paper introduces a new method to assess respondent quality before inviting them to clients' surveys. Respondents complete a mock concept test that measures behavioural variables and aggregates them into a score. Furthermore, a longitudinal score is calculated from behaviour during panel membership in an ongoing way. These scores are powerful tools for increasing general data quality. The paper demonstrates how this system works and presents data about systematic effects on results.
We are presenting a paper on the representativeness of panellists who are in multiple panels as compared to those in one or a limited number of panels. Our paper assesses the data received from respondents on only one, a few, and multiple panels and compares the same data with information collected by CATI. We have found major differences in the attitudes of those who participate on multiple panels, while the demo-graphic may be similar, as compared with others in only one panel.in some instances the attitudes of those in only one panel are closer to those who were interviewed by CATI than the attitudes of those on multiple panels. Case study material will be presented using a range of questions relating to attitudes and behaviour, to test the hypothesis that people on multiple panels are not representative of the population.the data has been extensively tested for significance and exhibits strong correlation between multiple panels and certain attitudes. Examples of this difference are that people in multiple panels are more likely to be price sensitive than influenced by brands Price is more important to me than brand names. We found that the deviation from CATI results increased proportionally as the number of panels a respondent belongs to increased.We have identified that there are major differences between people who are members of only one panel, and those who are members of multiple panels. these differences are seen in demographics, attitudes and behaviour.