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In an attempt to find ways of reducing attrition, three experiments were conducted The first experiment tested alternative interviewer introductions at the RDD recruitment stage, the second related to respondent commitment and the third related to survey mode Here we describe the experiments and their effect on attrition rates Experiment 1: Interviewer Introductions As noted by Meegama and Blair (1999): The goal of an effective introduction appears to not only provide minimum information, but the right kind of information eliciting cooperation of the potential respondent and, secondarily, enhancing rapport during the interview For panel surveys, introductions may also influence the attrition rate Different studies of introductions have found mixed results with respect to refusal rates For example, when introductions provide more information, studies have found that refusals to participate in surveys were more frequent (Blumberg et al, 1974; Kearney et al.

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How To Create Barcode In Excel Without Third Party Software - Tech ...
Aug 16, 2017 · How To Create Barcode In Excel Without Third Party Software ... After completely installed barcode font, then open New Microsoft Excel Sheet to start create ... Back to Office 2003 Default Font and Style Set in Office Word 2007 ...

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How To Create Barcode In Excel Without Third Party Software - Tech ...
Aug 16, 2017 · A barcode is a series of lines with varying width that hold any type of information. Nowadays, barcode has been widely used to track from ...

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, 1983), less frequent (Hauck and Cox, 1974) or about the same (Leuptow et al, 1977; Singer, 1978; Sobal, 1982) Meegama and Blair (1999) found no difference in refusal rates when they tested a salient introduction versus an overcoming objections introduction Similar to the GPP experiment, Houtkoop-Steenstra and van den Bergh (2000) compared three scripted introductions to an agenda-based introduction Interviewers were given more freedom to craft their introductions; their only requirement was the use of a few key words The agenda-based introduction produced higher response rates and higher appointment rates, and therefore lower refusal rates Two introductions to the panel were used in our experiment Each was randomly assigned to potential panel members In the first case the interviewers were instructed to read a longer introduction verbatim This introduction covered all of the points associated with belonging to the GPP.

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For example, it included mentioning that panel members would be surveyed about twice a month and that each survey would last between 5 and 15 minutes This introduction also mentioned that Gallup was recruiting other family members aged 13 or more The second introduction was shorter and gave the interviewers latitude to tailor the introduction as they went along This introduction did not mention the number of surveys or the length of a survey Recruits were only told that other family members could join but with no mention of age If respondents asked about such issues, interviewers would answer Both the long and short introduction had the five poll questions This experiment developed after an initial recruitment test where the interviewers began with the long introduction, that is, they immediately jumped into a request to join the GPP This proved difficult, as respondents were very wary of an immediate.

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found to be more likely to be contacted in the next wave, while respondents who refused to provide any contacts were less likely to be contacted in the next wave However, contrary to the BHPS experience (Laurie et al, 1999), neither of these differences is statistically significant Turning now to the likelihood of response conditional on making contact, we make the following observations: (1) Unlike the GSOEP and BHPS experience, the interviewer workload does not appear to have had a detrimental impact on the likelihood of gaining an interview with a respondent Indeed, interviewers with the highest workloads have tended to achieve the best response rates, but these differences are statistically insignificant As hypothesized earlier, we believe that the absence of a negative association reflects the way work is allocated to interviewers on the HILDA Survey.

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Interviewer continuity is positively associated with response and the strength of this relationship increases with each wave the interviewer remains the same Further, this result is only slightly weakened by controlling for a random interviewer effect in Model III Nevertheless, the magnitude of this effect is relatively small Based on the parameter estimates in Model III, the mean predicted probability of response in wave 4 when the interviewer is not the same as in wave 3 is 913 % This compares with 922 % if the interviewer is the same for the last two waves, 938 % if the same for the last three years and 946 % if the same for all four waves The number of calls made at wave t 1 has the expected negative association with survey response at wave t.

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