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A comprehensive framework for both reduction of nonresponse and postsurvey adjustment for nonresponseThis book provides guidance and support for survey statisticians who need to develop models for postsurvey adjustment for nonresponse, and for survey designers and practitioners attempting to reduce unit nonresponse in household interview surveys. It presents the results of an eight-year research program that has assembled an unprecedented data set on respondents and nonrespondents from several major household surveys in the United States.Within a comprehensive conceptual framework of influence

Presents a comprehensive treatment of survey errors and the costs and benefits of alternative survey designs, integrating statistical and social science perspectives on survey design. Considers coverage error, nonresponse error, sampling error, and measurement error, including the effects of interviewers and respondents, the wording of the questionnaire, and mode of data collection

This presentation was part of a North American DDI (NADDI) conference plenary panel on the importance of open standards in federal statistics and research.

This article examines the statistical system of the United States—featuring fourteen principal statistical agencies and sixty to seventy units in other federal agencies— focusing on the system's highly decentralized nature and the ways in which the agencies attempt to evaluate the status of issues relevant to the mission of their departments and to provide information helpful in the creation of new policy. The history and challenges of the various agencies are examined, with the article showing that these challenges are inevitably tied to the cabinet departments to which they are attached. The article also examines recurrent issues facing the U.S. federal statistical system, including functional separation of statistical activities from regulatory activities, centralization versus decentralization, hiring structure of directors, data confidentiality versus access, policy relevance versus policy-making involvement, and contracting out statistical activities versus agency-conducted statistical activities.

This article examines the statistical system of the United States--featuring fourteen principal statistical agencies and sixty to seventy units in other federal agencies-- focusing on the system's highly decentralized nature and the ways in which the agencies attempt to evaluate the status of issues relevant to the mission of their departments and to provide information helpful in the creation of new policy. The history and challenges of the various agencies are examined, with the article showing that these challenges are inevitably tied to the cabinet departments to which they are attached. The article also examines recurrent issues facing the U.S. federal statistical system, including functional separation of statistical activities from regulatory activities, centralization versus decentralization, hiring structure of directors, data confidentiality versus access, policy relevance versus policy-making involvement, and contracting out statistical activities versus agency-conducted statistical activities. [Reprinted by permission of Sage Publications Inc., copyright The American Academy of Political and Social Science.]

An obituary for Leslie Kish, research scientist emeritus of the U of Michigan's Instit for Social Research & professor emeritus of its Dept of Sociology. Kish was a member of the group of scientists led by Rensis Likert, who, in the US Dept of Agriculture in the early 1940s, defined much of the early theory & practice of scientific surveys & who left government to found the Michigan Survey Research Center in 1946. Adapted from the source document.

This discussion of the theories and methods of telephone surveys begins by considering the theories relevant to understanding mode effects. It analyzes theories related to coverage error, psychological theories of compliance and persuasion relevant to nonresponse error, sociological theories relevant to nonresponse error, and cognitive and social psychological theories relevant to measurement error. The second part of the chapter discusses results from methodological studies and deals with four kinds of error: coverage error, sampling error, nonresponse error, and measurement error. The third section of the chapter deals with computer-assisted data collection. The chapter concludes with a summarya nd a short anticipation of the future in telephone survey studies.