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Qian, Jiahe; Li, Shuhong – ETS Research Report Series, 2021
In recent years, harmonic regression models have been applied to implement quality control for educational assessment data consisting of multiple administrations and displaying seasonality. As with other types of regression models, it is imperative that model adequacy checking and model fit be appropriately conducted. However, there has been no…
Descriptors: Models, Regression (Statistics), Language Tests, Quality Control
Duong, Minh Q.; von Davier, Alina A. – International Journal of Testing, 2012
Test equating is a statistical procedure for adjusting for test form differences in difficulty in a standardized assessment. Equating results are supposed to hold for a specified target population (Kolen & Brennan, 2004; von Davier, Holland, & Thayer, 2004) and to be (relatively) independent of the subpopulations from the target population (see…
Descriptors: Ability Grouping, Difficulty Level, Psychometrics, Statistical Analysis
Xu, Xueli; von Davier, Matthias – Educational Testing Service, 2010
One of the major objectives of large-scale educational surveys is reporting trends in academic achievement. For this purpose, a substantial number of items are carried from one assessment cycle to the next. The linking process that places academic abilities measured in different assessments on a common scale is usually based on a concurrent…
Descriptors: Case Studies, Trend Analysis, Computation, Educational Assessment
Wu, Margaret – Educational Measurement: Issues and Practice, 2010
In large-scale assessments, such as state-wide testing programs, national sample-based assessments, and international comparative studies, there are many steps involved in the measurement and reporting of student achievement. There are always sources of inaccuracies in each of the steps. It is of interest to identify the source and magnitude of…
Descriptors: Testing Programs, Educational Assessment, Measures (Individuals), Program Effectiveness

Hartman, Bruce W.; And Others – Journal of Experimental Education, 1986
The detrimental effects of nonresponse bias are particularly significant given the widespread use of the survey data collection method in educational surveys. Current methods for remediating nonresponse bias in educational surveys are explored and critiqued. (Author/LMO)
Descriptors: Data Collection, Educational Assessment, Elementary Secondary Education, Error of Measurement
Williams, Rick L.; And Others – 1981
The National Assessment of Educational Progress in-school sampling design is a three-stage stratified design. Stratification variables include region, size of community and socioeconomic status. The three levels of sample selection are Primary Sampling Units (PSUs), schools and students. In general, two and sometimes three PSUs are selected from…
Descriptors: Educational Assessment, Elementary Secondary Education, Error of Measurement, National Competency Tests
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
Folsom, Ralph E., Jr. – 1977
Beginning with the planning stages of the National Assessment of Educational Progress (NAEP), careful attention has been given to the design of efficient probability sampling methods for the selection of class-age respondents and the assignment of test packages. With these methods, it is possible for NAEP researchers to make relatively precise…
Descriptors: Educational Assessment, Elementary Secondary Education, Error of Measurement, National Competency Tests
Jaeger, Richard M. – 1975
Three new indicators of psychometric quality for objectives-based statewide assessments are proposed. These measures provide indication of the stability of reported data on item and objectives mastery, the validity of assessment items for members of various cultural groups, and the convergent validity of prescribed objectives mastery scores. The…
Descriptors: Classification, Cultural Influences, Educational Assessment, Error of Measurement
Kolstad, Andrew – 1990
Use of clustering methods with data from the 1987 High School Transcript (HST) component of the 1986 National Assessment of Educational Progress (NAEP) is discussed in an attempt to persuade data analysts and researchers that they should be interested in problems traditionally turned over to samplers. Nearly all surveys used by the National Center…
Descriptors: Cluster Analysis, Educational Assessment, Error of Measurement, Estimation (Mathematics)

Shavelson, Richard J.; And Others – Journal of Educational Measurement, 1993
Evidence is presented on the generalizability and convergent validity of performance assessments using data from six studies of student achievement that sampled a wide range of measurement facets and methods. Results at individual and school levels indicate that task-sampling variability is the major source of measurement error. (SLD)
Descriptors: Academic Achievement, Educational Assessment, Error of Measurement, Generalizability Theory

Gao, Xiaohong; And Others – Applied Measurement in Education, 1994
This study provides empirical evidence about the sampling variability and generalizability (reliability) of a statewide performance assessment for grade six. Results for 600 students at individual and school levels indicate that task-sampling variability was the major source of measurement error. Rater-sampling variability was negligible. (SLD)
Descriptors: Achievement Tests, Educational Assessment, Elementary School Students, Error of Measurement
Linn, Robert L. – 1994
The New Standards Project conducted a pilot test of a series of performance-based assessment tasks in mathematics and English language arts at Grades 4 and 8 in the spring of 1993. This paper reports the results of a series of generalizability analyses conducted for a subset of the 1993 pilot study data in mathematics. Generalizability analyses…
Descriptors: Decision Making, Educational Assessment, Elementary Education, Elementary School Students
Spencer, Bruce D. – 1986
The National Assessment of Educational Progress (NAEP) currently tests seventeen-year-old students enrolled in public and private secondary schools, but it does not test "out-of-school" seventeen-year-olds who have either graduated or dropped out. Estimating that one of five seventeen-year-olds is out of school, the interpretability of…
Descriptors: Adolescents, Cohort Analysis, Dropouts, Educational Assessment
Coffman, William E.; Shigemasu, Kazuo – 1978
Appraisal of a school's relative effectiveness is complicated by: (1) the need to control for input differences; (2) measurement error in input measures; and (3) small sample size within schools. This study compares the performance of two successive cohorts in 19 schools in a small midwestern city on the five Iowa Tests of Basic Skills using both…
Descriptors: Academic Achievement, Accountability, Achievement Gains, Analysis of Covariance
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