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2010 Research on Respondents tVox Data May, 2010 © Harris Interactive.

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Presentation on theme: "2010 Research on Respondents tVox Data May, 2010 © Harris Interactive."— Presentation transcript:

1 2010 Research on Respondents tVox Data May, 2010 © Harris Interactive

2 Presentation to MRIA Ottawa Chapter Doug Anderson, SVP Public Affairs Harris/Decima 160 Elgin Street Suite 160 Ottawa, ON K2P 2P7 Richard Leigh-Bennett, CMRP SVP Harris/Decima 160 Elgin Street Suite 160 Ottawa, ON K2P 2P7

3 What do we know – Response Rates The PMRS Response Rate Committee measured refusal rates in 1995, 1999, 2002 and again in 2005 and found that refusal rates have increased and response rates have fallen. When analyzed on an increment basis year by year, the 2002 survey suggested that for one-time studies, the rate of refusals was accelerating. Telephone surveys have been under attack recently on the grounds that Results are no longer accurate nor representative and low response rates are cited as the reason. © Harris Interactive

4 Non-response Rate The collective body of empirical work suggests no consistent relationship between response rate and non-response bias. RDD telephone surveys with low response rates generally still have excellent demographic representativeness. (Keeter et al. 2006).

5 Questions we had…. With declining response rates, are we just getting the same respondents who do multiple surveys or are we actually getting different people but they are harder to reach? –Number of calls received asking to do a phone survey and number of times agreed to do the survey in past year. –Likelihood to complete a phone survey in the next year. Online coverage is coming close to telephone coverage, but who is doing online surveys? –Number of times participated in any sort of on-line survey. –Membership in an on-line panel. –Likelihood to complete an online survey in the next year.

6 Methodology Data collection for this study was conducted via CATI …. Data collection for this study was conducted April 29 th to May 11 th, Findings are based on a sample of 2008 adult Canadians. A sample of this size yields a margin of error of +/-2.2% nineteen times out of twenty. © Harris Interactive

7 Findings

8 Estimated Requests and Interviews (12 Months) © Harris Interactive

9 Reasons for Declining Telephone Survey Request © Harris Interactive Base: Those who declined a telephone survey (n=959)

10 Reasons for Accepting Telephone Survey Request © Harris Interactive Base: Those offering a reason (n=1,642)

11 Number of Calls Received

12 Number of Calls Received (Mean)

13 Number of Telephone Surveys Completed

14 Number of Telephone Surveys Completed (Mean)

15 Claimed Rate of Conversion

16 Claimed Rate of Conversion (Mean)

17 Observed Request : Conversion Ratio

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19 Claimed Request : Conversion Ratio

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21 Expected Future Trend In the next 12 months, do you think you will be more likely, less likely, or just as likely to complete a phone survey, if asked??

22 Who has done any sort of online survey in past year? In the past 12 months, that is since May 2009, how many times have you agreed to participate in any sort of online survey conducted over the Internet?

23 Who has joined online panels? Have you ever joined an online group, community or panel for the purpose of completing surveys over the Internet?

24 Number of Panels Joined © Harris Interactive

25 Expected Future Trends

26 More questions… The toughest strata to reach by phone are among the most participatory online. –Is dove-tailing samples a way to help, or is it more risk than benefit? We build/weight both phone and online samples to look like Census profiles. –If we know that either of the two are not truly identical to the Census profile and vary in identifiable ways, would we design samples to reflect these limitations? Phone response rates have continued to decline, but perhaps that decline has slowed. Our findings show as online panels grow, response rates also decline. –Should we read anything into the responses on respondents expectations for the future?


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