Hierarchical Regression Models for Interviewer and Respondent Effects

Joop J. Hox

166 citations0/0 files storedSociological Methods & Research

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Survey Methodology and Nonresponse Statistical Methods and Bayesian Inference Survey Sampling and Estimation Techniques

Abstract

It is generally recognized that interviewers may have an important effect on the quality of the data collected in survey research. This article presents an application of the hierarchical regression model in the analysis of interviewer effects. The hierarchical regression model offers an elegant way of analyzing the simultaneous effects of specific interviewer and respondent characteristics. It is especially attractive if the research design does not provide for a random assignment of respondents to interviewers, because it allows the researcher to use statistical rather than experimental control by modeling the interviewer effects conditional on the respondent effects.

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References

1979Intraclass correlations: Uses in assessing rater reliability.1989Survey Errors and Survey Costs 1981Sociological Methodology 1980.1985Handbook of Survey Research 1992Measurement Errors in Surveys.1987Response Effects in Surveys 1991The Reliability of Survey Attitude Measurement 1992Data Quality in Mail, Telephone and Face to Face Surveys.

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