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Isenberg, Eric; Hock, Heinrich – Mathematica Policy Research, Inc., 2012
This report describes the value-added models used as part of teacher evaluation systems in the District of Columbia Public Schools (DCPS) and in eligible DC charter schools participating in "Race to the Top." The authors estimated: (1) teacher effectiveness in DCPS and eligible DC charter schools during the 2011-2012 school year; and (2)…
Descriptors: Teacher Evaluation, Value Added Models, Public Schools, Charter Schools
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Radford, Alexandria Walton; Horn, Laura – National Center for Education Statistics, 2012
These Web Tables provide an overview of classes taken and credits earned by a nationwide sample of first-time beginning postsecondary students based on data from the Postsecondary Education Transcript Study (PETS) of the 2004/09 Beginning Postsecondary Students Longitudinal Study. PETS collected transcripts from all the postsecondary institutions…
Descriptors: Postsecondary Education, College Freshmen, Academic Records, Longitudinal Studies
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Elosua, Paula; Iliescu, Dragos – International Journal of Testing, 2012
Psychometric practice does not always converge with the advances of psychometric theory. In order to investigate this gap, the authors focus on the 10 most used psychological tests in Europe, as identified by recent surveys. The article analyzes test manuals published in 6 different European countries for these 10 most used tests. A total of 32…
Descriptors: Psychological Testing, Personality Measures, Error of Measurement, Foreign Countries
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Finch, Holmes – Applied Psychological Measurement, 2010
The accuracy of item parameter estimates in the multidimensional item response theory (MIRT) model context is one that has not been researched in great detail. This study examines the ability of two confirmatory factor analysis models specifically for dichotomous data to properly estimate item parameters using common formulae for converting factor…
Descriptors: Item Response Theory, Computation, Factor Analysis, Models
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Worts, Diana; Sacker, Amanda; McDonough, Peggy – Social Indicators Research, 2010
This paper addresses a key methodological challenge in the modeling of individual poverty dynamics--the influence of measurement error. Taking the US and Britain as case studies and building on recent research that uses latent Markov models to reduce bias, we examine how measurement error can affect a range of important poverty estimates. Our data…
Descriptors: Poverty, Measurement, Error of Measurement, Probability
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Brand, Jennie E.; Yu Xie, – American Sociological Review, 2010
In this article, we consider how the economic return to a college education varies across members of the U.S. population. Based on principles of comparative advantage, scholars commonly presume that positive selection is at work, that is, individuals who are most likely to select into college also benefit most from college. Net of observed…
Descriptors: College Attendance, Cohort Analysis, Longitudinal Studies, Salary Wage Differentials
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Gomez, Rapson – Journal of Abnormal Child Psychology, 2010
The study used multiple-group confirmatory factor analysis (CFA) and multiple indicators multiple causes (MIMIC) procedures to examine the measurement and construct equivalencies for father and mother ratings of ADHD symptoms, recoded as binary scores. Fathers (N = 387) and mothers (N = 411) rated their primary school-aged children on the…
Descriptors: Mothers, Attention Deficit Hyperactivity Disorder, Symptoms (Individual Disorders), Factor Structure
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Freedman, David A.; Berk, Richard A. – Evaluation Review, 2008
Regressions can be weighted by propensity scores in order to reduce bias. However, weighting is likely to increase random error in the estimates, and to bias the estimated standard errors downward, even when selection mechanisms are well understood. Moreover, in some cases, weighting will increase the bias in estimated causal parameters. If…
Descriptors: Causal Models, Weighted Scores, Error of Measurement, Case Studies
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Hutchison, Dougal – Oxford Review of Education, 2008
There is a degree of instability in any measurement, so that if it is repeated, it is possible that a different result may be obtained. Such instability, generally described as "measurement error", may affect the conclusions drawn from an investigation, and methods exist for allowing it. It is less widely known that different disciplines, and…
Descriptors: Measurement Techniques, Data Analysis, Error of Measurement, Test Reliability
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Moses, Tim – Journal of Educational and Behavioral Statistics, 2008
Equating functions are supposed to be population invariant, meaning that the choice of subpopulation used to compute the equating function should not matter. The extent to which equating functions are population invariant is typically assessed in terms of practical difference criteria that do not account for equating functions' sampling…
Descriptors: Equated Scores, Error of Measurement, Sampling, Evaluation Methods
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Solano-Flores, Guillermo; Backhoff, Eduardo; Contreras-Nino, Luis Angel – International Journal of Testing, 2009
In this article, we present a theory of test translation whose intent is to provide the conceptual foundation for effective, systematic work in the process of test translation and test translation review. According to the theory, translation error is multidimensional; it is not simply the consequence of defective translation but an inevitable fact…
Descriptors: Test Items, Investigations, Semantics, Translation
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Chafouleas, Sandra M.; Christ, Theodore J.; Riley-Tillman, T. Chris – Educational and Psychological Measurement, 2009
Generalizability theory is used to examine the impact of scaling gradients on a single-item Direct Behavior Rating (DBR). A DBR refers to a type of rating scale used to efficiently record target behavior(s) following an observation occasion. Variance components associated with scale gradients are estimated using a random effects design for persons…
Descriptors: Generalizability Theory, Undergraduate Students, Scaling, Rating Scales
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Robitzsch, Alexander; Rupp, Andre A. – Educational and Psychological Measurement, 2009
This article describes the results of a simulation study to investigate the impact of missing data on the detection of differential item functioning (DIF). Specifically, it investigates how four methods for dealing with missing data (listwise deletion, zero imputation, two-way imputation, response function imputation) interact with two methods of…
Descriptors: Test Bias, Simulation, Interaction, Effect Size
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National Center for Education Statistics, 2010
This paper presents the supplemental figures, tables, and standard error tables for the report "Student Financing of Undergraduate Education: 2007-08. Web Tables. NCES 2010-162." (Contains 6 figures and 10 tables.) [For the main report, see ED511828.]
Descriptors: Undergraduate Study, Higher Education, Undergraduate Students, Tables (Data)
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Volkwein, J. Fredericks; Yin, Alexander C. – New Directions for Institutional Research, 2010
This chapter summarizes ten selected issues and common problems that arise in most assessment research projects. These include: (1) the uses of grades in assessment; (2) institutional review boards; (3) research design as a compromise; (4) standardized testing; (5) self-reported measures; (6) missing data; (7) weighting data; (8) conditional…
Descriptors: Research Design, Research Methodology, Standardized Tests, Least Squares Statistics
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