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John R. Donoghue; Carol Eckerly – Applied Measurement in Education, 2024
Trend scoring constructed response items (i.e. rescoring Time A responses at Time B) gives rise to two-way data that follow a product multinomial distribution rather than the multinomial distribution that is usually assumed. Recent work has shown that the difference in sampling model can have profound negative effects on statistics usually used to…
Descriptors: Scoring, Error of Measurement, Reliability, Scoring Rubrics
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Collins, Rebecca L.; Martino, Steven C.; Elliott, Marc N. – Developmental Psychology, 2011
Longitudinal research has demonstrated a link between exposure to sexual content in media and subsequent changes in adolescent sexual behavior, including initiation of intercourse and various noncoital sexual activities. Based on a reanalysis of one of the data sets involved, Steinberg and Monahan (2011) have challenged these findings. However,…
Descriptors: Sexuality, Mass Media Effects, Adolescents, Evaluation Methods
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Kim, Sooyeon; Livingston, Samuel A. – ETS Research Report Series, 2009
A series of resampling studies was conducted to compare the accuracy of equating in a common item design using four different methods: chained equipercentile equating of smoothed distributions, chained linear equating, chained mean equating, and the circle-arc method. Four operational test forms, each containing more than 100 items, were used for…
Descriptors: Sampling, Sample Size, Accuracy, Test Items
Longford, Nicholas T. – 1992
Large scale surveys usually employ a complex sampling design and as a consequence, no standard methods for estimation of the standard errors associated with the estimates of population means are available. Resampling methods, such as jackknife or bootstrap, are often used, with reference to their properties of robustness and reduction of bias. A…
Descriptors: Error of Measurement, Estimation (Mathematics), Prediction, Research Design
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Hanna, Gerald S.; And Others – Journal of School Psychology, 1981
Discusses four ubiquitous major sources of measurement error for individual intelligence scales. Argues that where these sources cannot be directly investigated, they should be estimated rather than ignored. Estimated the typical magnitude of error arising from each of content sampling, time sampling, scoring, and administration. (Author)
Descriptors: Error of Measurement, Intelligence Tests, Measurement Techniques, Sampling
Searls, Donald T., Ed. – 1983
The purpose of this paper is to provide an overview of the analysis of data collected by the National Assessment of Educational Progress (NAEP). In simplest terms, the analysis can be characterized as establishing baseline estimates of the percentages of young Americans possessing certain skills, knowledge, understandings, and attitudes and…
Descriptors: Data Analysis, Data Collection, Databases, Educational Assessment
Shavelson, Richard J.; And Others – 1993
In this paper, performance assessments are cast within a sampling framework. A performance assessment score is viewed as a sample of student performance drawn from a complex universe defined by a combination of all possible tasks, occasions, raters, and measurement methods. Using generalizability theory, the authors present evidence bearing on the…
Descriptors: Academic Achievement, Educational Assessment, Error of Measurement, Evaluators