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Showing 1 to 15 of 35 results Save | Export
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Crompvoets, Elise A. V.; Béguin, Anton A.; Sijtsma, Klaas – Journal of Educational and Behavioral Statistics, 2020
Pairwise comparison is becoming increasingly popular as a holistic measurement method in education. Unfortunately, many comparisons are required for reliable measurement. To reduce the number of required comparisons, we developed an adaptive selection algorithm (ASA) that selects the most informative comparisons while taking the uncertainty of the…
Descriptors: Comparative Analysis, Statistical Analysis, Mathematics, Measurement
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Allanson, Patricia E.; Notar, Charles E. – Education Quarterly Reviews, 2020
This article discusses the basics of the "4 scales of measurement" and how they are applicable to research or everyday tools of life. To do this you will be able to list and describe the four types of scales of measurement used in quantitative research; provide examples of uses of the four scales of measurement; and determine the…
Descriptors: Statistical Analysis, Measurement, Statistics, Qualitative Research
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Petrosino, Anthony J.; Mann, Michele J. – Journal of College Science Teaching, 2018
Although data modeling, the employment of statistical reasoning for the purpose of investigating questions about the world, is central to both mathematics and science, it is rarely emphasized in K-16 instruction. The current work focuses on developing thinking about data modeling with undergraduates in general and preservice teachers in…
Descriptors: Undergraduate Students, Preservice Teachers, Mathematical Models, Data
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Miratrix, Luke; Feller, Avi; Pillai, Natesh; Pati, Debdeep – Society for Research on Educational Effectiveness, 2016
Modeling the distribution of site level effects is an important problem, but it is also an incredibly difficult one. Current methods rely on distributional assumptions in multilevel models for estimation. There it is hoped that the partial pooling of site level estimates with overall estimates, designed to take into account individual variation as…
Descriptors: Probability, Models, Statistical Distributions, Bayesian Statistics
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Weller, Susan C. – Field Methods, 2015
This article presents a simple approach to making quick sample size estimates for basic hypothesis tests. Although there are many sources available for estimating sample sizes, methods are not often integrated across statistical tests, levels of measurement of variables, or effect sizes. A few parameters are required to estimate sample sizes and…
Descriptors: Sample Size, Statistical Analysis, Computation, Hypothesis Testing
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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
Kern, Justin L.; McBride, Brent A.; Laxman, Daniel J.; Dyer, W. Justin; Santos, Rosa M.; Jeans, Laurie M. – Grantee Submission, 2016
Measurement invariance (MI) is a property of measurement that is often implicitly assumed, but in many cases, not tested. When the assumption of MI is tested, it generally involves determining if the measurement holds longitudinally or cross-culturally. A growing literature shows that other groupings can, and should, be considered as well.…
Descriptors: Psychology, Measurement, Error of Measurement, Measurement Objectives
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Holster, Trevor A.; Lake, J. – Language Assessment Quarterly, 2016
Stewart questioned Beglar's use of Rasch analysis of the Vocabulary Size Test (VST) and advocated the use of 3-parameter logistic item response theory (3PLIRT) on the basis that it models a non-zero lower asymptote for items, often called a "guessing" parameter. In support of this theory, Stewart presented fit statistics derived from…
Descriptors: Guessing (Tests), Item Response Theory, Vocabulary, Language Tests
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Elosua, Paula – Psicologica: International Journal of Methodology and Experimental Psychology, 2011
Assessing measurement equivalence in the framework of the common factor linear models (CFL) is known as factorial invariance. This methodology is used to evaluate the equivalence among the parameters of a measurement model among different groups. However, when dichotomous, Likert, or ordered responses are used, one of the assumptions of the CFL is…
Descriptors: Measurement, Models, Data, Factor Analysis
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Mayer, Axel; Steyer, Rolf; Mueller, Horst – Structural Equation Modeling: A Multidisciplinary Journal, 2012
We present a 3-step approach to defining latent growth components. In the first step, a measurement model with at least 2 indicators for each time point is formulated to identify measurement error variances and obtain latent variables that are purged from measurement error. In the second step, we use contrast matrices to define the latent growth…
Descriptors: Statistical Analysis, Measurement, Structural Equation Models, Error of Measurement
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Shang, Yi – Journal of Educational Measurement, 2012
Growth models are used extensively in the context of educational accountability to evaluate student-, class-, and school-level growth. However, when error-prone test scores are used as independent variables or right-hand-side controls, the estimation of such growth models can be substantially biased. This article introduces a…
Descriptors: Error of Measurement, Statistical Analysis, Regression (Statistics), Simulation
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Olivera-Aguilar, Margarita; Millsap, Roger E. – Multivariate Behavioral Research, 2013
A common finding in studies of differential prediction across groups is that although regression slopes are the same or similar across groups, group differences exist in regression intercepts. Building on earlier work by Birnbaum (1979), Millsap (1998) presented an invariant factor model that would explain such intercept differences as arising due…
Descriptors: Statistical Analysis, Measurement, Prediction, Regression (Statistics)
Cai, Li; Monroe, Scott – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…
Descriptors: Item Response Theory, Models, Goodness of Fit, Probability
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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
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Olson, Richard K.; Hulslander, Jacqueline; Christopher, Micaela; Keenan, Janice M.; Wadsworth, Sally J.; Willcutt, Erik G.; Pennington, Bruce F.; DeFries, John C. – Annals of Dyslexia, 2013
Identical and fraternal twins (N = 540, age 8 to 18 years) were tested on three different measures of writing (Woodcock-Johnson III Tests of Achievement--Writing Samples and Writing Fluency; Handwriting Copy from the Group Diagnostic Reading and Aptitude Achievement Tests), three different language skills (phonological awareness, rapid naming, and…
Descriptors: Measurement, Achievement Tests, Genetics, Word Recognition
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