EVALUATION OF A COMPUTER-ASSISTED SELF-INTERVIEW COMPONENT IN A COMPUTER-ASSISTED PERSONAL INTERVIEW SURVEY |
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| Authors: | COUPER MICK P; ROWE BENJAMIN |
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| Institution: | MICK P. COUPER is an assistant research scientist at the Survey Research Centers, University of Michigan. BENJAMIN ROWE is a survey specialist at the Survey Research Center, University of Michigan. An earlier version of this article was presented at the 1995 annual meeting of the American Association for Public Opinion Research, Fort Lauderdale, May 18–21. Data collection for the Self-Portraits Study was supported by grant RO1 AG08279-03 from the National Institute on Aging to Regula Herzog and Hazel Markus, principal investigators. The authors thank them for their support of this research and thank Lynn Dielman for assistance with preparation and analysis of these data. Analyses reported in this article are supported by internal Survey Research Center funds through the Survey Methodology Program. The authors thank Robert Groves, Robert Santos, and three anonymous reviewers for their useful comments on an earlier draft of this article. |
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| Abstract: | This article examines respondent reactions to and performanceon a self-administered component of a computer-assisted personalinterview survey on self-images, conducted in the Detroit areain 1992. Although respondents were encouraged to complete thecomputer-assisted self-interview items them selves, only 79percent of those interviewed actually did so, while for 14 percentthe interviewer completed the items and for the remaining 7percent the interviewer read the questions while the respondententered the responses. We find that the decision to self-completethe computer-assisted self-interview items is re lated to factorssuch as respondents' age, education and com puter experience.This suggests that both capacity (literacy and vision) and motivationaffect the choice of completion. We also find differences insubstantive responses and data quality be tween self-completersand those who use interviewer assistance. These findings haveimplications for nonresponse error and data quality for self-administeredcomponents of interviews, particu larly those using computer-administration. |
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