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Groth, Randall; Rickards, Megan; Roehm, Elizabeth – Statistics Education Research Journal, 2023
In this report, we analyze students' learning of compound probability by describing connections they generated while engaged with tasks involving two independent events. Several of their connections were compatible with the development of expertise, such as recognizing the need to determine sample spaces across a variety of situations and noting…
Descriptors: Statistics Education, Probability, Concept Formation, Sampling
Diego Cortes; Dirk Hastedt; Sabine Meinck – Large-scale Assessments in Education, 2025
This paper informs users of data collected in international large-scale assessments (ILSA), by presenting argumentsunderlining the importance of considering two design features employed in these studies. We examine a commonmisconception stating that the uncertainty arising from the assessment design is negligible compared with that arisingfrom the…
Descriptors: Sampling, Research Design, Educational Assessment, Statistical Inference
Lenhart, Michelle H.; Timler, Geralyn R.; Pavelko, Stacey L.; Bronaugh, Dannette A.; Dudding, Carol C. – Language, Speech, and Hearing Services in Schools, 2022
Purpose: Syntax has been called the structural foundation of language, as its development allows for more efficient and effective communication. Complex syntax production is known to lag in children and adolescents with language impairment. Conversation, narrative, and expository language sampling contexts are recommended tools for the…
Descriptors: Syntax, Language Impairments, Elementary School Students, Sampling
Lanouette, Kathryn – Science Education, 2022
In science education, there has been a sustained focus on supporting the emergence of science practices in K-12 and field-based settings. Recent work has elevated the integral role of emotion in sparking and sustaining such disciplinary practices, deepening the field's understanding of what is entailed in "doing" science. Yet even as we…
Descriptors: Science Education, Elementary School Science, Elementary School Students, Ecology
Wilder, Amy; Redmond, Sean M. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Language sample analysis (LSA) represents an ecologically valid method for diagnosing, identifying goals, and measuring progress in children with developmental language disorder (DLD). LSA is, however, time consuming. The purpose of this study was to determine the length of sample needed to obtain reliable LSA measures for children in…
Descriptors: Speech Language Pathology, Sampling, Developmental Disabilities, Language Impairments
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
Shen, Ting; Konstantopoulos, Spyros – Journal of Experimental Education, 2022
Large-scale education data are collected via complex sampling designs that incorporate clustering and unequal probability of selection. Multilevel models are often utilized to account for clustering effects. The probability weighted approach (PWA) has been frequently used to deal with the unequal probability of selection. In this study, we examine…
Descriptors: Data Collection, Educational Research, Hierarchical Linear Modeling, Bayesian Statistics
Fielding, Jill; Makar, Katie – Instructional Science: An International Journal of the Learning Sciences, 2022
Conceptual challenge is often considered a necessary ingredient for promoting deep learning in an inquiry-based environment. However, challenge alone does not support conceptual development. In this paper, we draw on complexity theory as a theoretical lens to explore how a primary teacher facilitated students' conceptual change through repeated…
Descriptors: Elementary School Students, Statistics Education, Mathematics Education, Elementary School Mathematics
Ruiz Reyes, Karen; Contreras Garcia, Jose Miguel – Statistics Education Research Journal, 2021
In statistical inference, importance of sampling is recognized as one of its key concepts, which has allowed its incorporation internationally in different curricular guidelines and specifically in the Chilean curriculum, since the first notions of sampling are introduced in 7th Grade. This paper presents an analysis of the responses to an…
Descriptors: Sampling, Secondary School Students, Statistical Inference, Foreign Countries
Wang, Weimeng; Liao, Manqian; Stapleton, Laura – Educational Psychology Review, 2019
Many national and international educational data collection programs offer researchers opportunities to investigate contextual effects related to student performance. In those programs, schools are often used in the first-stage sampling process and students are randomly drawn from selected schools. However, the "incidental" dependence of…
Descriptors: Educational Research, Context Effect, Sampling, Children
Dennis, Minyi Shih; Sorrells, Audrey M.; Chovanes, Jacquelyn; Kiru, Elisheba W. – Learning Disability Quarterly, 2022
This meta-analysis examined the ecological and population validity of intervention research for students with low mathematics achievement (SWLMA). Forty-four studies published between 2005 and 2019 that met the inclusionary criterion were included in this analysis. Our findings suggest, to improve the external validity and generalizability of…
Descriptors: Mathematics Achievement, Low Achievement, Intervention, Meta Analysis
Collier-Meek, Melissa A.; Sanetti, Lisa M. H.; Gould, Kaitlin; Pereira, Brittany – Journal of Educational and Psychological Consultation, 2021
When assessed, treatment fidelity is most often evaluated by checklists of intervention steps after an observation session, though estimates can vary depending on how intervention steps are operationalized and rated. A more straightforward approach may involve the adoption of direct observation methods such as time sampling or event recording,…
Descriptors: Fidelity, Evaluation Methods, Intervention, Check Lists
Qian, Jiahe – ETS Research Report Series, 2020
The finite population correction (FPC) factor is often used to adjust variance estimators for survey data sampled from a finite population without replacement. As a replicated resampling approach, the jackknife approach is usually implemented without the FPC factor incorporated in its variance estimates. A paradigm is proposed to compare the…
Descriptors: Computation, Sampling, Data, Statistical Analysis
Jiang, Yu; Zhang, Jiahui; Xin, Tao – Journal of Educational and Behavioral Statistics, 2019
This article is an overview of the National Assessment of Education Quality (NAEQ) of China in reading, mathematics, sciences, arts, physical education, and moral education at Grades 4 and 8. After a review of the background and history of NAEQ, we present the assessment framework with students' holistic development at the core and the design for…
Descriptors: Foreign Countries, Educational Quality, Educational Improvement, National Competency Tests
Salimi, Moh; Dardiri, Achmad; Sujarwo – European Journal of Educational Research, 2021
This study aimed to describe the profile of the students' social skills of Bengawan Solo nature elementary school. The study was qualitatively conducted as a case study. The participants were teachers and students who were chosen by employing a purposive sampling technique. The data were obtained through observations, questionnaires, interviews,…
Descriptors: Profiles, Interpersonal Competence, Sampling, Elementary School Students