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Shelby J. Haberman; Sabine Meinck; Ann-Kristin Koop – Large-scale Assessments in Education, 2024
This paper extends existing work on teacher weighting in student-centered surveys by looking into aspects of practical implementation of deriving and using weights for teacher-centered analysis in the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS). The formal…
Descriptors: Elementary Secondary Education, Foreign Countries, Achievement Tests, Mathematics Achievement
Anqi Zhao; Peng Ding; Tirthankar Dasgupta – Grantee Submission, 2018
Given two 2-level factors of interest, a 2[superscript 2] split-plot design (a) takes each of the 2 [superscript 2] = 4 possible factorial combinations as a treatment, (b) identifies one factor as `whole-plot,' (c) divides the experimental units into blocks, and (d) assigns the treatments in such away that all units within the same block receive…
Descriptors: Statistical Inference, Computation, Statistical Analysis, Sampling
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Shen, Zuchao; Kelcey, Benjamin – Journal of Educational and Behavioral Statistics, 2020
Conventional optimal design frameworks consider a narrow range of sampling cost structures that thereby constrict their capacity to identify the most powerful and efficient designs. We relax several constraints of previous optimal design frameworks by allowing for variable sampling costs in cluster-randomized trials. The proposed framework…
Descriptors: Sampling, Research Design, Randomized Controlled Trials, Statistical Analysis
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Zhang, Jiahui; Cogan, Leland S.; Schmidt, William H. – Educational Measurement: Issues and Practice, 2020
This study addresses measurement issues around a standards-based content analysis of mathematics textbooks' coverage of standards for use in large-scale monitoring of standards implementation as proposed in a 2013 report by the National Research Council. An earlier study produced an exhaustive content analysis of textbooks using the 2012 Common…
Descriptors: Textbook Content, Academic Standards, Mathematics Curriculum, Content Analysis
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Spencer, Elizabeth; Bryant, Lucy; Colyvas, Kim – Topics in Language Disorders, 2020
Variability is common in language sample analysis (LSA), arising from personal factors such as age or level of education, or from factors within the text such as its length and purpose. Variability can affect interpretation of results in clinical practice and research studies, as well as the ability to detect change in individuals over time. This…
Descriptors: Sampling, Language Impairments, Evaluation Methods, Evidence Based Practice
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Liu, Xiaofeng Steven; Shin, Hyejo Hailey – Teaching Statistics: An International Journal for Teachers, 2020
Computer simulation can be used to demonstrate why the unbiased sample variance uses degrees of freedom (n-1). This is first demonstrated for sampling from a normal random variable, and in additional simulations for some selected non-normal random variables, namely, chi-square and binomial.
Descriptors: Computer Simulation, Statistics, Sampling, Statistical Bias
Qu, Wen; Liu, Haiyan; Zhang, Zhiyong – Grantee Submission, 2020
In social and behavioral sciences, data are typically not normally distributed, which can invalidate hypothesis testing and lead to unreliable results when being analyzed by methods developed for normal data. The existing methods of generating multivariate non-normal data typically create data according to specific univariate marginal measures…
Descriptors: Social Science Research, Multivariate Analysis, Statistical Distributions, Monte Carlo Methods
Naian Yin – ProQuest LLC, 2020
Online networks, as digital images reflecting every aspects of real world especially under the current context of information technology, have become the most massive and opulent data source these days, where vast amount of information keeps being produced and transmitted. Their rapid expansion in scale and data volume draws wide attention and…
Descriptors: Sampling, Networks, Topology, Computer Mediated Communication
Xinran Li; Peng Ding; Donald B. Rubin – Grantee Submission, 2020
With many pretreatment covariates and treatment factors, the classical factorial experiment often fails to balance covariates across multiple factorial effects simultaneously. Therefore, it is intuitive to restrict the randomization of the treatment factors to satisfy certain covariate balance criteria, possibly conforming to the tiers of…
Descriptors: Experiments, Research Design, Randomized Controlled Trials, Sampling
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Salim Nabhan; Anita Habók – SAGE Open, 2025
As the integration of digital technologies continues to shape academic landscapes, assessing digital literacy in the context of academic writing becomes paramount. Several instruments and frameworks are available for measuring digital literacy and examining it from different perspectives; however, none are suitable for measuring the digital…
Descriptors: Digital Literacy, Academic Language, Writing (Composition), Measures (Individuals)
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Qian, Jiahe; Li, Shuhong – ETS Research Report Series, 2021
In recent years, harmonic regression models have been applied to implement quality control for educational assessment data consisting of multiple administrations and displaying seasonality. As with other types of regression models, it is imperative that model adequacy checking and model fit be appropriately conducted. However, there has been no…
Descriptors: Models, Regression (Statistics), Language Tests, Quality Control
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Güler Yildiz, Tülin; Öztürk, Naciye; Ilhan Iyi, Tülay; Askar, Nese; Banko Bal, Çagla; Karabekmez, Sibel; Höl, Saban – Environmental Education Research, 2021
This study aims to review the scientific papers on Early Childhood Education for Sustainability (ECEfS) published between 2008 and 2020 and reveal changes in the area. This systematic review was carried out in two stages. In the first stage, a systematic review of papers on ECEfS was conducted according to the specified criteria, and all…
Descriptors: Sustainability, Conservation (Environment), Sustainable Development, Early Childhood Education
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Nuzzo, James – Quest, 2021
In 1973, Harriet Williams published in "Quest" on volunteer bias (self-selection bias) in kinesiology research. Williams' evidence-based commentary included a discussion on sex differences in volunteerism. More recently, some exercise and sports scientists (ESS) have suggested "investigator" bias explains the lower proportion…
Descriptors: Volunteers, Gender Differences, Researchers, Sampling
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Glamocic, Džana Salibašic; Mešic, Vanes; Neumann, Knut; Sušac, Ana; Boone, William J.; Aviani, Ivica; Hasovic, Elvedin; Erceg, Nataša; Repnik, Robert; Grubelnik, Vladimir – Physical Review Physics Education Research, 2021
Item banks are generally considered the basis of a new generation of educational measurement. In combination with specialized software, they can facilitate the computerized assembling of multiple pre-equated test forms. However, for advantages of item banks to become fully realized it is important that the item banks store a relatively large…
Descriptors: Item Banks, Test Items, Item Response Theory, Item Sampling
Merkle, Edgar C.; Fitzsimmons, Ellen; Uanhoro, James; Goodrich, Ben – Grantee Submission, 2021
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependent response variables and multiple latent variables (which may also be called random effects or…
Descriptors: Bayesian Statistics, Structural Equation Models, Psychometrics, Factor Analysis
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