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Jennrich, Robert I. – 1973
In a manner similar to that used in the orthogonal case, formulas for the asymptotic standard errors of analytically rotated oblique factor loading estimates are obtained. This is done by finding expressions for the partial derivatives of an oblique rotation algorithm and using previously derived results for unrotated loadings. These include the…
Descriptors: Componential Analysis, Error of Measurement, Factor Analysis, Oblique Rotation
Peer reviewed Peer reviewed
Kane, Michael T.; Brennan, Robert L. – Review of Educational Research, 1977
Dependability of class means is analyzed by applying generalizability to a split-plot design with students nested within classes. Basic generalizability concepts are reviewed, and the derivation and interpretation of distinct generalizability concepts are discussed. Four generalizability coefficients are compared with each other and with the three…
Descriptors: Analysis of Variance, Correlation, Error of Measurement, Program Evaluation
Peer reviewed Peer reviewed
Olejnik, Stephen F.; Algina, James – Educational and Psychological Measurement, 1988
Type I error rates and power were estimated for 10 tests of variance equality under various combinations of the following factors: similar and dissimilar distributional forms, equal and unequal means, and equal and unequal sample sizes. (TJH)
Descriptors: Analysis of Variance, Equated Scores, Error of Measurement, Power (Statistics)
Peer reviewed Peer reviewed
Whitney, Douglas R.; And Others – Educational and Psychological Measurement, 1986
This paper summarizes much of the available information concerning the reliability and validity of the Tests of General Educational Development (GED Tests). The data suggest that the results are sufficiently reliable for continued use and that the validity evidence generally supports the intended uses of the tests. (Author/LMO)
Descriptors: Correlation, Equivalency Tests, Error of Measurement, Predictive Validity
Peer reviewed Peer reviewed
Spencer, Bruce D. – Evaluation Review, 1985
Commonly used techniques for estimating the effect of data error on fund allocations are biased because they fail to account for numerous sources of data error and for misspecification of the allocation formula itself. Alternate methods for estimating the effects of data error are presented. (Author/BS)
Descriptors: Error of Measurement, Estimation (Mathematics), Federal Aid, Resource Allocation
Peer reviewed Peer reviewed
Jarjoura, David – Journal of Educational Statistics, 1985
Issues regarding tolerance and confidence intervals are discussed within the context of educational measurement, and conceptual distinctions are drawn between these two types of intervals. Points are raised about the advantages of tolerance intervals when the focus is on a particular observed score rather than a particular examinee. (Author/BW)
Descriptors: Comparative Analysis, Error of Measurement, Mathematical Models, Test Interpretation
Peer reviewed Peer reviewed
Williams, Richard H.; Zimmerman, Donald W. – Journal of Experimental Education, 1984
This paper provides a list of 10 salient features of the standard error of measurement, contrasting it to the reliability coefficient. It is concluded that the standard error of measurement should be regarded as a primary characteristic of a mental test. (Author/DWH)
Descriptors: Educational Testing, Error of Measurement, Evaluation Methods, Psychological Testing
Peer reviewed Peer reviewed
Bauer, Ernest A. – Educational Measurement: Issues and Practice, 1985
Misreadings of pencil answer marks on test answer sheets by optical scanners cause scoring errors. Twenty-six different pencils were tested for readability differences when optically scanned. Complete light and dark marks scanned perfectly for 18 pencils. Totals for all six mark types ranged from 947 to 1726 out of 1800. (BS)
Descriptors: Answer Sheets, Elementary Secondary Education, Error of Measurement, Optical Scanners
Zhang, Yanwei; Breithaupt, Krista; Tessema, Aster; Chuah, David – Online Submission, 2006
Two IRT-based procedures to estimate test reliability for a certification exam that used both adaptive (via a MST model) and non-adaptive design were considered in this study. Both procedures rely on calibrated item parameters to estimate error variance. In terms of score variance, one procedure (Method 1) uses the empirical ability distribution…
Descriptors: Individual Testing, Test Reliability, Programming, Error of Measurement
Hedges, Larry V.; Vevea, Jack L. – 2003
A computer simulation study was conducted to investigate the amount of uncertainty added to National Assessment of Educational Progress estimates by equating error under three different equating methods and while varying a number of factors that might affect accuracy of equating. Data from past NAEP administrations were used to guide the…
Descriptors: Computer Simulation, Equated Scores, Error of Measurement, Item Response Theory
Colton, Dean A.; Gao, Xiaohong; Harris, Deborah J.; Kolen, Michael J.; Martinovich-Barhite, Dara; Wang, Tianyou; Welch, Catherine J. – 1997
This collection consists of six papers, each dealing with some aspects of reliability and performance testing. Each paper has an abstract, and each contains its own references. Papers include: (1) "Using Reliabilities To Make Decisions" (Deborah J. Harris); (2) "Conditional Standard Errors, Reliability, and Decision Consistency…
Descriptors: Decision Making, Error of Measurement, Item Response Theory, Performance Based Assessment
Thompson, Bruce – 1995
Stepwise methods are frequently employed in educational and psychological research, both to select useful subsets of variables and to evaluate the order of importance of variables. Three problems with stepwise applications are explored in some detail. First, computer packages use incorrect degrees of freedom in their stepwise computations,…
Descriptors: Educational Research, Error of Measurement, Heuristics, Psychological Testing
Du, Yunfei – 2002
This paper discusses the impact of sampling error on the construction of confidence intervals around effect sizes. Sampling error affects the location and precision of confidence intervals. Meta-analytic resampling demonstrates that confidence intervals can haphazardly bounce around the true population parameter. Special software with graphical…
Descriptors: Computer Software, Effect Size, Error of Measurement, Meta Analysis
Chiu, Christopher W. T. – 2000
A procedure was developed to analyze data with missing observations by extracting data from a sparsely filled data matrix into analyzable smaller subsets of data. This subdividing method, based on the conceptual framework of meta-analysis, was accomplished by creating data sets that exhibit structural designs and then pooling variance components…
Descriptors: Difficulty Level, Error of Measurement, Generalizability Theory, Interrater Reliability
Lee, Guemin – 2000
The purpose of this study was to investigate the relative appropriateness of several procedures for estimating reliability and standard errors of measurement of complex reading comprehension tests. Seven generalizability theory models were conceptualized by incorporating one or several factors of items, passages, themes, contents, and types of…
Descriptors: Error of Measurement, Estimation (Mathematics), Generalizability Theory, Models
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