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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)
This paper offers recommendations to the National Center for Education Statistics (NCES) on the development of the background questionnaire for the National Assessment of Adult Literacy (NAAL). The recommendations are from the viewpoint of a researcher interested in applying sophisticated statistical models to address important issues in adult literacy. The paper focuses on five issues, each of which is the subject of a section of the paper: sampling; selection bias; measurement; policy modeling; and gauging cohort effects. Each section considers the scope of the issue and then makes recommendations to NCES. These recommendations include providing all appropriate sampling weights in NAAL data; examining contextual effects on the distribution of literacy ability in the population; considering relevant auxiliary variables that would constitute the selection equation; considering the hypothesized number of factors and including at least four variables measuring each factor in the questionnaire; obtaining retrospective data on general and job-specific literacy-related activities; and exploring the possibility of linking NAAL with existing longitudinal surveys. (Contains 21 references.) (YLB)
Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume 3: Applications presents applications of item response theory to practical testing problems. While item response theory may be known primarily for its advances in theoretical modeling of responses to test items, equal progress has been made in its providing innovative solutions to daily testing problems. This third volume in a three-volume set highlights the major applications. Specifically, this volume covers applications to test item calibration, item analysis, model fit checking, test-score interpretation, optimal test design, adaptive testing, standard setting, and forensic analyses of response data. It describes advances in testing in areas such as large-scale educational assessment, psychological testing, health measurement, and measurement of change. In addition, it extensively reviews computer programs available to run any of the models and applications in Volume One and Three. Features Includes contributions from internationally acclaimed experts with a history of advancing applications of item response theory Provides extensive cross-referencing and common notation across all chapters in this three-volume set Underscores the importance of treating each application in a statistically rigorous way Reviews major computer programs for item response theory analyses and applications. Wim J. van der Linden is a distinguished scientist and director of research and innovation at Pacific Metrics Corporation. Dr. van der Linden is also a professor emeritus of measurement and data analysis at the University of Twente. His research interests include test theory, adaptive testing, optimal test assembly, parameter linking, test equating, and response-time modeling as well as decision theory and its applications to problems of educational decision making.