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1.
The better alternative to fusion - a modelling procedure to simulate independent media currencies
Peter Masson and Paul Sumner, ESOMAR, Worldwide Multi Media Measurement (WM3), Shanghai, June 2006
This paper describes the Virtual Diary creation process in which a ‘limited’ amount of single source data (for press, TV, Radio, Internet) is added to a large scale, ad hoc target group survey, and th ...
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2.
Through revolving doors
Rajan Bhalla, Harjyoti Ghai, Sharmila Das and Neerja Wable, ESOMAR, Qualitative Research, Budapest, October 2001, pp.323-341
It is a well-established fact that with maturing product categories and hyperactivity in the marketplace, a marketer needs to constantly evaluate the product's position and offer relevant and unique c ...
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3.
The internet and the effects of eCommerce on the brand
Heidi Schultz and Don E Schultz, ESOMAR, Impact of Networking, Vienna, Sept 2000, pp.177-209
This paper presents a forecast of how brands and branding can and will be used in the new converging marketplace of the 21st century. The authors suggest a new model for developing and managing brand ...
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4.
How do you like your data: Raw, al dente or stewed?
Bill Blyth and Tim Bowles, International Journal of Market Research, Vol. 39, No. 1, 1997
This paper argues that all consumer research inevitably contains bias, arising from sampling and other sources, and that it is the researcher's responsibility to take account of this so as to present ...
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5.
Has the national do not call registry helped or hurt state-level response rates?: a time-series analysis
Michael W. Link, Ali H. Mokdad, Dale Kulp and Ashley Hyon, Market Research Abstract from: Public Opinion Quarterly, Vol 70, No 5, Special Issue 2006, pp 794-809, (full text not available on WARC.com)
The USA’s National Do Not Call Registry (DNC Registry) had more than 91 million numbers registered by early 2005. The implications of this for survey response rates are explored in this paper, and amo ...
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6.
Nonresponse bias in a dual frame sample of cell and landline numbers
J. Michael Brick, Sarah Dipko, Stanley Presser, Clyde Tucker and Yangyang Yuan, Market Research Abstract from: Public Opinion Quarterly, Vol 70, No 5, Special Issue 2006, pp 780-793, (full text not available on WARC.com)
A dual frame survey of landline and cell phone (mobile phone) numbers was undertaken to evaluate the feasibility of using cell phone numbers in USA random digit dialling surveys. Some sources of nonre ...
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7.
Gauging the impact of growing nonresponse on estimates from a national RRD telephone survey
Scott Keeter, Courtney Kennedy, Michael Dimock, Jonathan Best and Peyton Craighill, Market Research Abstract from: Public Opinion Quarterly, Vol 70, No 5, Special Issue 2006, pp 759-779, (full text not available on WARC.com)
Concerns about declining response rates in random digit dialling (RRD) telephone surveys were investigated by repeating a 1997 methodological survey. The findings again suggested that the level of uni ...
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8.
Survey participation, nonresponse bias, measurement error bias, and total bias
Kristen Olsen, Market Research Abstract from: Public Opinion Quarterly, Vol 70, No 5, Special Issue 2006, pp 737-758, (full text not available on WARC.com)
The author examined the hypothesis that respondents recruited by persuasive efforts may provide data filled with measurement error. Findings suggested, amongst other things, that the relationship betw ...
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9.
Experiments in producing nonresponse bias
Robert M. Groves, Mick P. Couper, Stanley Presser, Eleanor Singer, Roger Tourangeau, Giorgina Piani Acosta and Lindsay Nelson, Market Research Abstract from: Public Opinion Quarterly, Vol 70, No 5, Special Issue 2006, pp 720-736, (full text not available on WARC.com)
The link between nonresponse rates and nonresponse bias arises from the presence of a covariance between response propensity and the survey variables of interest. The paper suggests that the key commo ...
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10.
Using community-level correlates to evaluate non-response effects in a telephone survey
Timothy P. Johnson, Young Ik Cho, Richard T. Campbell and Allyson L. Holbrook, Market Research Abstract from: Public Opinion Quarterly, Vol 70, No 5, Special Issue 2006 , pp 704-719, (full text not available on WARC.com)
The authors report on a project to examine the potential effects of non-response via analyses that (a) investigate the linkages between community-level (USA zip-code) variables and nonresponse and (b) ...
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11.
Nonresponse in the American time use survey: who is missing from the data and how much does it matter?
Katharine G. Abraham, Aaron Maitland and Suzanne M. Bianchi, Market Research Abstract from: Public Opinion Quarterly, Vol 70, No 5, Special Issue 2006, pp 676-703, (full text not available on WARC.com)
The response rate for the American Time Use Survey (ATUS) has been below 60% for the first two years of its existence, raising questions about whether the results can be generalised to the target popu ...
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12.
Nonresponse rates and nonresponse bias in household surveys
Robert M. Groves, Market Research Abstract from: Public Opinion Quarterly, Vol 70, No 5, Special Issue 2006, pp 646-675, (full text not available on WARC.com)
The author explores whether probability sampling remains relevant when nonresponse is high and increasing and when there are cases where the linkage between nonresponse and nonresponse bias is absent. ...
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13.
Knowledge Calibration: What Consumers Know and What They Think They Know
Joseph W. Alba, and J. Wesley Hutchinson, Market Research Abstract from: Journal of Consumer Research, Vol 27, Number 2, September 2000, (full text not available on WARC.com)
Consumers think they know more than they actually do. Their knowledge is seldom complete or errorless. Given which, the correspondence between self-assessed knowledge and actual validity is an importa ...
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