NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)4
Since 2006 (last 20 years)8
Audience
Researchers3
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 19 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Nicewander, W. Alan – Educational and Psychological Measurement, 2018
Spearman's correction for attenuation (measurement error) corrects a correlation coefficient for measurement errors in either-or-both of two variables, and follows from the assumptions of classical test theory. Spearman's equation removes all measurement error from a correlation coefficient which translates into "increasing the reliability of…
Descriptors: Error of Measurement, Correlation, Sample Size, Computation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bichi, Ado Abdu; Talib, Rohaya – International Journal of Evaluation and Research in Education, 2018
Testing in educational system perform a number of functions, the results from a test can be used to make a number of decisions in education. It is therefore well accepted in the education literature that, testing is an important element of education. To effectively utilize the tests in educational policies and quality assurance its validity and…
Descriptors: Item Response Theory, Test Items, Test Construction, Decision Making
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Dirlik, Ezgi Mor – International Journal of Progressive Education, 2019
Item response theory (IRT) has so many advantages than its precedent Classical Test Theory (CTT) such as non-changing item parameters, ability parameter estimations free from the items. However, in order to get these advantages, some assumptions should be met and they are; unidimensionality, normality and local independence. However, it is not…
Descriptors: Comparative Analysis, Nonparametric Statistics, Item Response Theory, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2016
The frequently neglected and often misunderstood relationship between classical test theory and item response theory is discussed for the unidimensional case with binary measures and no guessing. It is pointed out that popular item response models can be directly obtained from classical test theory-based models by accounting for the discrete…
Descriptors: Test Theory, Item Response Theory, Models, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Fan, Xitao; Sun, Shaojing – Journal of Early Adolescence, 2014
In adolescence research, the treatment of measurement reliability is often fragmented, and it is not always clear how different reliability coefficients are related. We show that generalizability theory (G-theory) is a comprehensive framework of measurement reliability, encompassing all other reliability methods (e.g., Pearson "r,"…
Descriptors: Generalizability Theory, Measurement, Reliability, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Andrich, David; Kreiner, Svend – Applied Psychological Measurement, 2010
Models of modern test theory imply statistical independence among responses, generally referred to as "local independence." One violation of local independence occurs when the response to one item governs the response to a subsequent item. Expanding on a formulation of this kind of violation as a process in the dichotomous Rasch model,…
Descriptors: Test Theory, Item Response Theory, Test Items, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
van der Linden, Wim J. – Measurement: Interdisciplinary Research and Perspectives, 2010
The traditional way of equating the scores on a new test form X to those on an old form Y is equipercentile equating for a population of examinees. Because the population is likely to change between the two administrations, a popular approach is to equate for a "synthetic population." The authors of the articles in this issue of the…
Descriptors: Test Format, Equated Scores, Population Distribution, Population Trends
Peer reviewed Peer reviewed
Williams, Richard H.; Zimmerman, Donald W. – Journal of Experimental Education, 1982
A mathematical link between test reliability and test validity is derived, taking into account the correlation between error scores on a test and error scores on a criterion measure. When this correlation is positive, the "paradoxical" nonmonotonic relation between test reliability and test validity occurs universally. (Author/BW)
Descriptors: Correlation, Error of Measurement, Mathematical Models, Test Reliability
Peer reviewed Peer reviewed
Humphreys, Lloyd G. – Applied Psychological Measurement, 1996
The reliability of a gain is determined by the reliabilities of the components, the correlation between them, and their standard deviations. Reliability is not inherently low, but the components of gains in many investigations make low reliability likely and require caution in the use of gain scores. (SLD)
Descriptors: Achievement Gains, Change, Correlation, Error of Measurement
Peer reviewed Peer reviewed
Williams, Richard H.; Zimmerman, Donald W. – Applied Psychological Measurement, 1996
The critiques by L. Collins and L. Humphreys in this issue illustrate problems with the use of gain scores. Collins' examples show that familiar formulas for the reliability of differences do not reflect the precision of measures of change. Additional examples demonstrate flaws in the conventional approach to reliability. (SLD)
Descriptors: Achievement Gains, Change, Correlation, Error of Measurement
Peer reviewed Peer reviewed
Stevens, Joseph J.; Aleamoni, Lawrence, M. – Educational and Psychological Measurement, 1986
Prior standardization of scores when an aggregate score is formed has been criticized. This article presents a demonstration of the effects of differential weighting of aggregate components that clarifies the need for prior standardization. The role of standardization in statistics and the use of aggregate scores in research are discussed.…
Descriptors: Correlation, Error of Measurement, Factor Analysis, Raw Scores
Peer reviewed Peer reviewed
Winne, Philip H.; Belfry, M. Joan – Journal of Educational Measurement, 1982
This review of issues about correcting for attenuation concludes that the basic difficulty lies in being able to identify and equate sources of variance in estimates of validity and reliability. Recommendations are proposed for cautious use of correction for attenuation. (Author/CM)
Descriptors: Correlation, Error of Measurement, Research Methodology, Statistical Analysis
Boyd, Donald; Grossman, Pamela; Lankford, Hamilton; Loeb, Susanna; Wyckoff, James – National Center for Analysis of Longitudinal Data in Education Research, 2008
Value-added models in education research allow researchers to explore how a wide variety of policies and measured school inputs affect the academic performance of students. Researchers typically quantify the impacts of such interventions in terms of "effect sizes", i.e., the estimated effect of a one standard deviation change in the…
Descriptors: Credentials, Teacher Effectiveness, Models, Teacher Qualifications
Samejima, Fumiko – 1977
A method of estimating the operating characteristics of a new test item added to an established test without assuming a prior model has been proposed by the author. In this paper, the author extends this logic by proposing a different hypothesized distribution of the resulting estimate. The former method used a normal approximation; the present…
Descriptors: Adaptive Testing, Career Development, Correlation, Error of Measurement
Torrence, David R. – 1986
This was a replicative study that was initiated with a journeyman level certification instrument for an international union, when industry monitors were observed suggesting to examinees to "go with your first response." The question arose whether this was a researched-based practice. If not, wouldn't this practice inject constant error…
Descriptors: Adults, Correlation, Error of Measurement, Guessing (Tests)
Previous Page | Next Page ยป
Pages: 1  |  2