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Ball, Stephen; Swan, Pamela D.; DeSimone, Rosemarie – Research Quarterly for Exercise and Sport, 2004
The purpose of this study was to assess the accuracy of three recommended anthropometric equations for women and then develop an updated prediction equation using dual energy x-ray absorptiometry (DXA). The percentage of body fat (%BF) by anthropometry was significantly correlated (r = .896-. 929; p [is less than] .01) with DXA, but each equation…
Descriptors: Females, Body Composition, Predictive Measurement, Error of Measurement
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Kamata, Akihito; Tate, Richard – Journal of Educational Measurement, 2005
The goal of this study was the development of a procedure to predict the equating error associated with the long-term equating method of Tate (2003) for mixed-format tests. An expression for the determination of the error of an equating based on multiple links using the error for the component links was derived and illustrated with simulated data.…
Descriptors: Computer Simulation, Item Response Theory, Test Format, Evaluation Methods
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Brooks, Val – British Journal of Educational Studies, 2004
In 2002, the Qualifications and Curriculum Authority (QCA) published the report of an independent panel of experts into maintaining standards at Advanced Level (A-Level). One of its recommendations was for: limited experimental double marking of scripts in subjects such as English to determine whether the strategy would significantly reduce errors…
Descriptors: English, Test Construction, Error of Measurement, Advanced Students
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Wang, Jichuan – Structural Equation Modeling, 2004
In addition to assessing the rate of change in outcome measures, it may be useful to test the significance of outcome changes during specific time periods within an entire observation period under study. While discussing the delta method and bootstrapping, this study demonstrates how to use these 2 methods to estimate the standard errors of the…
Descriptors: Longitudinal Studies, Error of Measurement, Measures (Individuals), Comparative Analysis
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Hauptman, Joe – Teaching Statistics: An International Journal for Teachers, 2004
This article describes a simple computer program which graphically demonstrates both Type I and Type II statistical errors.
Descriptors: Computer Software, Statistical Analysis, Computer Uses in Education, Error of Measurement
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Zhang, Xuyang; Tomblin, J. Bruce – Journal of Speech, Language, and Hearing Research, 2003
This tutorial is concerned with examining how regression to the mean influences research findings in longitudinal studies of clinical populations. In such studies participants are often obtained because of performance that deviates systematically from the population mean and are then subsequently studied with respect to change in the trait used…
Descriptors: Longitudinal Studies, Regression (Statistics), Error of Measurement, Research Design
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Sinharay, Sandip; Holland, Paul – ETS Research Report Series, 2006
It is a widely held belief that anchor tests should be miniature versions (i.e., minitests), with respect to content and statistical characteristics of the tests being equated. This paper examines the foundations for this belief. It examines the requirement of statistical representativeness of anchor tests that are content representative. The…
Descriptors: Test Items, Equated Scores, Evaluation Methods, Difficulty Level
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Eaton, Karen M.; Messer, Stephen C.; Garvey Wilson, Abigail L.; Hoge, Charles W. – Suicide and Life-Threatening Behavior, 2006
The objectives of this study were to generate precise estimates of suicide rates in the military while controlling for factors contributing to rate variability such as demographic differences and classification bias, and to develop a simple methodology for the determination of statistically derived thresholds for detecting significant rate…
Descriptors: Suicide, Mortality Rate, Comparative Analysis, Validity
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Wikman, Anders – Social Indicators Research, 2006
In general, it is assumed that distinct true values will be found behind what is actually measured in surveys. By acquiring sufficient knowledge of measurement error, its extent and nature, we are supposed to be able to obtain adequate knowledge of underlying properties. It could be maintained, however, that this idea of a stable and…
Descriptors: Surveys, Test Validity, Responses, Error of Measurement
Hahs-Vaughn, Debbie L. – International Journal of Research & Method in Education, 2006
Oversampling and cluster sampling must be addressed when analyzing complex sample data. This study: (a) compares parameter estimates when applying weights versus not applying weights; (b) examines subset selection issues; (c) compares results when using standard statistical software (SPSS) versus specialized software (AM); and (d) offers…
Descriptors: Multivariate Analysis, Sampling, Data Analysis, Error of Measurement
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Herzog, Serge – New Directions for Institutional Research, 2008
Among the varied analytical challenges institutional researchers face, examining faculty pay may be one of the most vexing. Although the literature on faculty compensation analysis dates back to the 1970s (Loeb and Ferber, 1971; Gordon, Morton, and Braden, 1974; Scott, 1977; Braskamp and Johnson, 1978; McLaughlin, Smart, and Montgomery, 1978),…
Descriptors: Teacher Salaries, Land Grant Universities, Compensation (Remuneration), Workers Compensation
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Attali, Yigal – ETS Research Report Series, 2007
Because there is no commonly accepted view of what makes for good writing, automated essay scoring (AES) ideally should be able to accommodate different theoretical positions, certainly at the level of state standards but also perhaps among teachers at the classroom level. This paper presents a practical approach and an interactive computer…
Descriptors: Computer Assisted Testing, Automation, Essay Tests, Scoring
Linacre, John Michael – 1995
Various methods of estimating main effects from ordinal data are presented and contrasted. Problems discussed include: (1) at what level to accumulate ordinal data into linear measures; (2) how to maintain scaling across analyses; and (3) the inevitable confounding of within cell variance with measurement error. An example shows three methods of…
Descriptors: Analysis of Variance, Demography, Error of Measurement, Estimation (Mathematics)
Barnette, J. Jackson; McLean, James E. – 1998
Tukey's Honestly Significant Difference (HSD) procedure (J. Tukey, 1953) is probably the most recommended and used procedure for controlling Type I error rate when making multiple pairwise comparisons as follow-ups to a significant omnibus F test. This study compared observed Type I errors with nominal alphas of 0.01, 0.05, and 0.10 compared for…
Descriptors: Comparative Analysis, Error of Measurement, Monte Carlo Methods, Research Methodology
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Jarrell, Michele Glankler – 1992
This repeated measures factorial design study compared the results of two procedures for identifying multivariate outliers under varying conditions, the Mahalanobis distance and the Andrews-Pregibon statistic. Results were analyzed for the total number of outliers identified and number of false outliers identified. Simulated data were limited to…
Descriptors: Comparative Analysis, Computer Simulation, Error of Measurement, Mathematical Models
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