A study focused on researchers' use of the English-Language Background Questionnaire (EBQ) portion of the National Adult Literacy Survey (NALS), the results of which were released in 1993. Data were gathered by surveying NALS data users about how they have used the EBQ data, their perspectives on the strengths and weaknesses of the EBQ, and their recommendations for changes to the EBQ. A content analysis was also conducted of published research papers that have involved analyses of the EBQ data to determine how the data were used in these research analyses. The study also drew upon recommendations garnered by a series of focus groups conducted by the American Institutes for Research in 1998. These sources were integrated with the study's own analysis of the NALS data. The following changes to the EBQ for future adult literacy assessments were recommended: expand the questions pertaining to educational experiences; expand the section on social and political participation or move the current items to other areas and delete this section; add an item on voter registration; acquire more detailed information regarding work history, wages, and parents' occupations; expand the section pertaining to literacy practices; and gather information on technological literacy practices. (Appendixes include 34 references; instruments; and studies examined for content review.) (YLB)

In December 1995, the Organisation for Economic Co-Operation and Development (OECD) and Statistics Canada jointly published the results of the first International Adult Literacy Survey (IALS). For this survey, representative samples of adults aged 16 to 65 were interviewed and tested in their homes in Canada, France, Germany, the Netherlands, Poland, Sweden, Switzerland, and the United States. This report describes how the survey was conducted in each country and presents all available evidence on the extent of bias in each country's data. Potential sources of bias, including sampling error, non-sampling error, and the cultural appropriateness and construct validity of the assessment instruments, are discussed. The chapters are; (1) "Introduction" (Irwin S. Kirsch and T. Scott Murray); (2) "Sample Design" (Nancy Darcovich); (3) "Survey Response and Weighting" (Nancy Darcovich); (4) "Non-Response Bias" (Nancy Darcovich, Marilyn Binkley, Jon Cohen, Mats Myrberg, and Stefan Persson); (5) "Data Collection and Processing" (Nancy Darcovich and T. Scott Murray); (6) "Incentives and the Motivation To Perform Well" (Stan Jones); (7) "The Measurement of Adult Literacy" (Irwin S. Kirsch, Ann Jungeblut, and Peter B. Mosenthal); (8) "Validity Generalization of the Assessment across Countries" (Don Rock); (9) "An Analysis of Items with Different Parameters across Countries" (Marilyn R. Binkley and Jean R. Pignal); (10) "Scaling and Scale Linking" (Kentaro Yamamoto); (11) "Proficiency Estimation" (Kentaro Yamamoto and Irwin S. Kirsch); (12) "Plausibility of Proficiency Estimates" (Richard Shillington); and (13) "Nested-Factor Models for the Swedish IALS Data" (Bo Palaszewski). Fourteen appendixes contain supplemental information, some survey questionnaires, and additional documentation for various chapters. (Contains 94 tables, 12 figures, and 74 references.) (SLD)

Taking into account both traditional and emerging modes, this comprehensive new Handbook covers all major methodological and statistical issues in designing and analyzing surveys. With contributions from the world's leading survey methodologists and statisticians, this invaluable new resource provides guidance on collecting survey data and creating meaningful results. Featuring examples from a variety of countries, the book reviews such things as how to deal with sample designs, write survey questions, and collect data on the Internet. A thorough review of the procedures associated with multiple modes of collecting sample survey information and applying that combination of methods that fit the situation best is included. The International Handbook of Survey Methodology opens with the foundations of survey design, ranging from sources of error, to ethical issues. This is followed by a section on design that reviews sampling challenges and tips on writing and testing questions for multiple methods. Part three focuses on data collection, from face-to-face interviews, to Internet and interactive voice response, to special challenges involved in mixing these modes within one survey. Analyzing data from both simple and complex surveys is then explored, as well as procedures for adjusting data. The book concludes with a discussion of maintaining quality. Intended for advanced students and researchers in the behavioral, social, and health sciences, this "must have" resource will appeal to those interested in conducting or using survey data from anywhere in the world, especially those interested in comparing results across countries. The book also serves as a state-of-the-art text for graduate level courses and seminars on survey methodology. A companion website contains additional readings and examples.

For many household surveys in the United States, responses rates have been steadily declining for at least the past two decades. A similar decline in survey response can be observed in all wealthy countries. Efforts to raise response rates have used such strategies as monetary incentives or repeated attempts to contact sample members and obtain completed interviews, but these strategies increase the costs of surveys. This review addresses the core issues regarding survey nonresponse. It considers why response rates are declining and what that means for the accuracy of survey results. These trends are of particular concern for the social science community, which is heavily invested in obtaining information from household surveys. The evidence to date makes it apparent that current trends in nonresponse, if not arrested, threaten to undermine the potential of household surveys to elicit information that assists in understanding social and economic issues. The trends also threaten to weaken the validity of inferences drawn from estimates based on those surveys. High nonresponse rates create the potential or risk for bias in estimates and affect survey design, data collection, estimation, and analysis. The survey community is painfully aware of these trends and has responded aggressively to these threats. The interview modes employed by surveys in the public and private sectors have proliferated as new technologies and methods have emerged and matured. To the traditional trio of mail, telephone, and face-to-face surveys have been added interactive voice response (IVR), audio computer-assisted self-interviewing (ACASI), web surveys, and a number of hybrid methods. Similarly, a growing research agenda has emerged in the past decade or so focused on seeking solutions to various aspects of the problem of survey nonresponse; the potential solutions that have been considered range from better training and deployment of interviewers to more use of incentives, better use of the information collected in the data collection, and increased use of auxiliary information from other sources in survey design and data collection. Nonresponse in Social Science Surveys: A Research Agenda also documents the increased use of information collected in the survey process in nonresponse adjustment.