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Date:         Sat, 12 Oct 2002 17:05:36 +0200
Reply-To:     Craig Kolb <>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Craig Kolb <>
Organization: BMI-TechKnowledge
Subject:      Re: Honesty and Missing Income
Content-Type: text/plain; charset="iso-8859-1"

Hi, I did a study for a large microlending company and took the opportunity to compare reported income with their database (salaries had to be confirmed to grant a loan). I will have to look the data file up again to see if there is anything atypical about non responders - if you can wait a bit I will get back to you next week. Craig Kolb Research Analyst - Enterprise Solutions BMI-T / IDC Africa Your knowledge partner in IT, telecoms and the Internet. Tel: +27 11 540 8000 Fax: +27 11 540 8001 Physical: Building 9 - Pebble Beach; Fourways Golf Park; Roos Street; Fourways; Gauteng; South Africa Postal: P.O. Box 4603; Rivonia; 2128; Gauteng; South Africa (for the interim) __________________

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----- Original Message ----- From: "Jeff A." <> Newsgroups: bit.listserv.spssx-l To: <SPSSX-L@LISTSERV.UGA.EDU> Sent: Saturday, October 12, 2002 1:08 AM Subject: Honesty and Missing Income

> ...not directly a spss question, but this is likely quite relevant to many > here. > > > Is anyone aware of any research that would suggest what the relationship is > between the refusal to provide household income on a survey and the overall > honesty of the respondent or the accuracy of their survey answers? > > We have some analyses where there is a good deal of missing income > measures. When we simply delete these cases our effect sizes increase, but > our other analyses do not seem indicative of any real interactions between > income and other variables on the outcome. In other words, if we use > alternative measures of socio-economic status, or impute income using > different techniques, we are finding no interactions of income with our > other variables. A few other findings seem to suggest that the individuals > in this particular survey who refuse to give their income may simply be > providing other responses less accurately also. > > wondering if there is any prior research that would support or > refute our assumption. Maybe something in public opinion quarterly? > > Thanks in advance. >

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