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Linn, Bob; McLaughlin, Don; Jiang, Tao; Gallagher, Larry – American Institutes for Research, 2004
The purpose of this simulation was to assess the improvements in estimates of standard errors that could be expected if students participating in NAEP were pre-assigned to test booklets that were adapted to their level of performance based on their state assessment scores. Students in extreme quartiles would receive one regular NAEP block and…
Descriptors: Educational Improvement, Educational Assessment, Error of Measurement, Educational Testing
Pommerich, Mary; Hanson, Bradley A.; Harris, Deborah J.; Sconing, James A. – 1999
This paper focuses on methodological issues in applying equipercentile equating methods to pairs of tests that do not meet the assumptions of equating. This situation is referred to as a concordance situation, as opposed to an equating situation, and the end result is a concordance table that gives "comparable" scores between the tests.…
Descriptors: College Entrance Examinations, Comparative Analysis, Equated Scores, Error of Measurement
Ingels, Steven J.; Scott, Leslie A.; Taylor, John R.; Owings, Jeffrey; Quinn, Peggy – 1998
This technical report documents the methodology of the National Education Longitudinal Study of 1988 (NELS:88) base year survey of eighth graders through the 1992 second followup survey of high school students and dropouts. Chapter 1 begins with an overview and history of the NELS:88 and its database, Chapter 2 contains a description of the data…
Descriptors: Data Collection, Databases, Error of Measurement, Followup Studies
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Preece, Peter F. W. – Educational and Psychological Measurement, 1982
The validity of various reliability-corrected procedures for adjusting for initial differences between groups in uncontrolled studies is established for subjects exhibiting linear fan-spread growth. The results are then extended to a nonlinear model of growth. (Author)
Descriptors: Achievement Gains, Analysis of Covariance, Error of Measurement, Hypothesis Testing
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Livingston, Samuel A.; Wingersky, Marilyn A. – Journal of Educational Measurement, 1979
Procedures are described for studying the reliability of decisions based on specific passing scores with tests made up of discrete items and designed to measure continuous rather than categorical traits. These procedures are based on the estimation of the joint distribution of true scores and observed scores. (CTM)
Descriptors: Cutting Scores, Decision Making, Efficiency, Error of Measurement
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DiCostanzo, James L.; Eichelberger, R. Tony – Evaluation Review, 1980
Design, analysis, and reporting considerations for the application of analysis of covariance (ANCOVA) techniques in educational settings are described. Numerous examples are drawn from the national follow through evaluation, and suggestions for improving reports using ANCOVA-type techniques are presented. (Author/BW)
Descriptors: Analysis of Covariance, Data Analysis, Error of Measurement, Predictor Variables
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Edwards, Martin H. – Physics Teacher, 1989
Discusses the use of linear regression methods to extrapolate experimental data. Describes the method of averages and two weighted least squares. Calculates the error range of each method. (YP)
Descriptors: College Science, Error of Measurement, Least Squares Statistics, Physics
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Camilli, Gregory – Journal of Educational Statistics, 1988
The phenomenon of scale shrinkage is examined. Focus is on the pattern of decreasing variances in item response theory scale scores from fall to spring within a grade. It is demonstrated that questions concerning population distributions of true ability can be addressed with empirical Bayes techniques. (TJH)
Descriptors: Academic Ability, Achievement Tests, Bayesian Statistics, Difficulty Level
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Reddy, Srinivas K. – Educational and Psychological Measurement, 1992
Implications of ignoring correlated error on parameter estimates in some simple structural equation models are examined. It is shown analytically and empirically through simulation that ignoring positive between-construct correlated error overestimates the structural parameter linking the two constructs. Effects become more pronounced with…
Descriptors: Correlation, Equations (Mathematics), Error of Measurement, Estimation (Mathematics)
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Rivkin, Stephen G. – Economics of Education Review, 2001
Conclusions about peer-group influences on academic achievement often depend on the estimation method used to account for endogeneity of school and neighborhood choice. Using High School and Beyond Longitudinal Survey data, this paper shows that aggregation does not reduce the specification error in estimating peer-group benefits. (Contains 25…
Descriptors: Academic Achievement, Elementary Secondary Education, Employment, Error of Measurement
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Sabatelli, Ronald M.; Bartle, Suzanne E. – Journal of Marriage and the Family, 1995
Presents a multidimensional conceptualization of family functioning that is embedded within a family systems framework. Discusses operational issues pertaining to the assessment of family functioning when conceived of as a complex and multidimensional construct, and explores measurement strategies and analytical approaches. (JPS)
Descriptors: Content Validity, Error of Measurement, Evaluation Methods, Family (Sociological Unit)
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Ferrara, Steve; Johnson, Eugene; Chen, Wen-Hung – Applied Measurement in Education, 2005
Psychometricians continue to develop and evaluate methods for linking test scores, both horizontally and vertically. This article describes a social moderation process for articulating (i.e., linking) performance standards across grade levels for an operational state assessment program. The researchers used generated data to evaluate the likely…
Descriptors: Grade 2, Grade 3, Scores, Error of Measurement
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Song, Xin-Yuan; Lee, Sik-Yum – Multivariate Behavioral Research, 2005
In this article, a maximum likelihood approach is developed to analyze structural equation models with dichotomous variables that are common in behavioral, psychological and social research. To assess nonlinear causal effects among the latent variables, the structural equation in the model is defined by a nonlinear function. The basic idea of the…
Descriptors: Structural Equation Models, Simulation, Computation, Error of Measurement
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Dirkzwager, Arie – International Journal of Testing, 2003
The crux in psychometrics is how to estimate the probability that a respondent answers an item correctly on one occasion out of many. Under the current testing paradigm this probability is estimated using all kinds of statistical techniques and mathematical modeling. Multiple evaluation is a new testing paradigm using the person's own personal…
Descriptors: Psychometrics, Probability, Models, Measurement
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Umbach, Paul D. – New Directions for Institutional Research, 2004
This chapter summarizes the most recent literature on the best practices of Web survey implementation and offers practical advice for researchers. (Contains 1 table.)
Descriptors: Response Rates (Questionnaires), Educational Researchers, Surveys, Internet
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