GfK Media Non differentiation in a web-panel - Lex van Meurs Respondent characteristics as explanations for uninformative survey response: sources of non differentiation in a web-panel Lex van Meurs, Thomas Klausch and Klaus Schönbach -------------------------------------------------------------------------------- 4 October 2010 GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 Recommendations to prevent dubious responses 2 • Prevent fraudulent behaviour in online questionnaires by taking recruitment and panel management serious • Increase data integrity by improving questionnaires: • Limit the length • Include rewarding questions • Pilot questionnaires with extensive feedback • Discuss questionnaire issues with client • Check for quality of responses and questionnaires • Standardise questionnaire feedback • Check on response quality GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 3 Kwaliteitscontrole bij onderzoek GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 Flags: the GfK Survey and Panellist Quality Filter 4 1. Response time 2. Non-differentiation (straight lining) 3. Open-ended questions Do not know 4. Screening questions 5. Do not know 6. Traps Traps GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 5 Introduction question Non differentiation in the GfK Appreciation Panel GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 Programme selection screen 6 GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 7 Standard questions asked for all programmes seen GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 8 In-depth questions GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 Non differentiation 9 • Dependent variable: proportion of questionnaires with non differentiation • Non differentiation defined as zero variance in one of three item batteries with minimum length • Standard questions: at least 5 items • In-depth questions: at least 10 items • Shorter questionnaires were not analyzed (14%) • Generally non differentiators give high appreciation scores • Research question: what respondent characteristics can explain non differentiation? GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 Sample and modeling 10 • GfK Appreciation Panel in the Netherlands • Non differentiation identified in all online questionnaires issued between January 1 and June 30 2009 • 502,750 questionnaires of 7,793 panel members that were part of the panel when the survey was conducted in August 2009 • Stratified random probability sample (n=1,200) • n=700 low non differentiation group • n=500 high non differentiation group • Modeling: negative binomial regression GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 Questionnaire: a hierarchy of impact on response behavior 11 Background Characteristics Contextual Norms Behavioral Norms Response Motivation Survey Experience GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 1. Survey experience 12 Survey length The questionnaires are often too long. Cognitive effort I often feel that I am not up to the demands of the surveys. Boredom Often the survey is so boring that it makes me want to stop filling in the questionnaire. GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 2. Response motivation 13 Incentive Focus • If the financial compensation for my study participation was taken away, I would most likely stop participating in the panel. • The financial compensation is the most important reason why I started participating in the panel. • If I heard that the panel is continued without a financial compensation, I would be really angry. Involvement • Enjoyment: I participate in the panel, because I enjoy doing it. • Topic interest: I participate in the panel, because I enjoy rating television programs. Perceived Obligations • Though I receive a regular incentive, I do not feel that I owe anything to Intomart GfK. GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 2. Response motivation (2) 14 Relevance of survey • Relevance to TV: I participate in the panel, because I think the appreciation questionnaires are an important way to improve the quality of television. • Relevance to TV makers: I participate in the panel, because this is a way to give my opinion to TV makers. • Scarcity: I participate in the panel, because I am one of the few to give an opinion in the name of a large TV audience. • Self-efficacy: My answers in the panel contribute to the production of programs that people like me like. • Self-efficacy (reversed): TV makers are not interested in the answers that people like me give in the appreciation panel. GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 3. Behavioral norms 15 Social norms • As I believe that many people do not fill out the surveys very properly, I am not doing it either. Individual norms • I think it is not a problem to fill out the surveys a bit sloppy from time to time. GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 4. Contextual norms 16 Honesty • Is it justified not to tell the truth? Helping • I am a person who enjoys helping other people a lot. • People often ask me for help with their problems. • Helping other people makes me happy. Social integration • Compared to other people of your age, how often would you say you take part in social activities (other than work or duty)? GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 5. Background characteristics 17 Socio-demographics controlled for: • Gender • Age (16-29, 30-44, 45-59, 60+) • Education (high, medium, low, none) • Income (4 groups) GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 Results and discussion 19 • Norms are very relevant (by 29% per sd for lower social norms, by 9% per sd for lower individual norms) • Honest people respond more honestly: respondents rating honesty important have 32% lower SL rate than others • Perception of behavior of others is equally relevant • But we cannot influence these effects – or can we? • High age, low education and low income all increase SL GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 Results and discussion (2) 20 • Survey experience: perceived effort increases non differentiation (by 13% per sd) • What is perceived as causing effort is individually different • Generally useful to avoid long or complicated questionnaires • Respondents who perceive the relevance of the survey as high use non differentiation more frequently (by 34% per sd) • Instrumentalisation: “I like everything I see and now I can tell them”? • Respondents showing this behavior are generally lower educated • No effects due to incentive, if at all: positive impact • Use incentives without worries • But effects of income may point to higher attractiveness of incentive for this subgroup GfK Media Non differentiation in a web-panel - van Meurs, Klausch & Schönbach 15 March 2011 Acknowledgements 21 • Publications • Meurs, Lex van; Ossenbruggen, Robert van & Nekkers, Liesbeth. (2007). Do rotten apples spoil the whole barrel? Exploring quality issues in panel data. In: ESOMAR Panel Research 2007 Conference (CD-ROM). Amsterdam: ESOMAR. • Meurs, Lex van; Ossenbruggen, Robert van & Nekkers, Liesbeth. (2009). Rotte appels? Controle op kwaliteit van antwoordgedrag in het Intomart GfK online panel. In: Bronner, A.E et all (eds) Ontwikkelingen in het marktonderzoek 2009: Jaarboek MarktOnderzoekAssociatie, dl. 34, 2009, p 61-81. Haarlem: SpaarenHout. • Winner of the MOA Wetenschapsprijs 2009 • Upcoming publication in collaboration with Thomas Klausch (University Utrecht) and Prof Dr. Klaus Schönbach (University of Vienna) • Supported by • Dutch Public Broadcasters (NPO) • Intomart GfK • The Amsterdam School of Communication Research
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