University of Wollongong
Browse

Not offering don't know options in brand image surveys contaminates data

Download (71.05 kB)
conference contribution
posted on 2024-11-16, 10:41 authored by Sara Dolnicar, John RossiterJohn Rossiter
The aims of this study were (1) to understand the extent to which offering or not offering a Don’t know option has the potential of contaminating survey data, and (2) to investigate the interaction between offering a Don’t know option and the verbalisation of scale points. Results from an experimental study with 196 online panel members indicate that empirical data sets can be contaminated if Don’t know options are not offered to respondents who are unable to to assess an object under study. The maximum extent of data contamination could not be determined because only one product category was examined. But the contamination for the less known fast food restaurant under study amounted to almost 20% of the data. Furthermore results show that using the typical Likert scale verbalisation of the middle point (“neither agree not disagree”) is often misinterpreted as a Don’t know option by respondents, thus increasing the risk of data contamination that cannot be corrected retrospectively. Practical recommendations for market researchers are derived from these results.

Funding

A cognitive model for identifying optimal measures of beliefs

Australian Research Council

Find out more...

History

Citation

Dolnicar, S. & Rossiter, J. R. (2009). Not offering don't know options in brand image surveys contaminates data. Australia and New Zealand Marketing Academy (ANZMAC) Conference (pp. 1-7). Melbourne, Australia: Australian & New Zealand Marketing Academy.

Parent title

Australia and New Zealand Marketing Academy (ANZMAC) Conference

Pagination

1-7

Language

English

RIS ID

29998

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC