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Handbook of Survey Research provides an introduction to the theory and practice of sample survey research. It addresses both the student who desires to master these topics and the practicing survey researcher who needs a source that codifies, rationalizes, and presents existing theory and practice. The handbook can be organized into three major parts. Part 1 sets forth the basic theoretical issues involved in sampling, measurement, and management of survey organizations. Part 2 deals mainly with """"hands-on,"""" how-to-do-it issues: how to draw theoretically acceptable samples, how to write

This paper is concerned with the influence of "modeling effects" in survey studies. This source of bias & invalidity arises when the investigator consciously or unconsciously projects his own views (att's, opinions) on those whom he studies. To test for the existence of modeling effects, 25 interviewers, who were similar in terms of demographic characteristics, were randomly assigned to 389 R's for a 20-minute telephone interview. Both interviewers & R's were asked questions pertaining to a number of areas of interest to sociol'al investigators: (a) general happiness, (b) religiosity, (c) number of friends, (d) current health status, (e) prejudice, & (f) MD visits. In addition to these single-item measures, measures of need for soc approval, mental health status, & the tendency to dissimulate (ie, to make false claims) were included. Comparing the responses given by the interviewers with those whom they interviewed revealed small, but consistent, r's between the 2 sets of responses. A further breakdown involving the diff'ial modeling effects among R's with diff levels of educ reveals an interesting pattern that is interpreted in light of a current controversy regarding interviewer biasing effects. AA.

This paper describes ways in which dialect variation may have important effects on the implementation and results of surveys in particular linguistic settings. Specifically, such differences of speech across populations within countries may significantly interfere with survey cooperation and with normal processes of understanding and responding to survey questions. The Swiss context is presented as a case study of how complications in survey implementation due to language and dialect variation may jeopardise data quality. Greater awareness among researchers of the potential impact of dialect variation on survey participation and responding is needed. Also, there is a need for more research internationally on the nature and scope of potential problems due to dialect, and on how to develop targeted strategies and remedies.