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Shen, Ting; Konstantopoulos, Spyros – Practical Assessment, Research & Evaluation, 2022
Large-scale assessment survey (LSAS) data are collected via complex sampling designs with special features (e.g., clustering and unequal probability of selection). Multilevel models have been utilized to account for clustering effects whereas the probability weighting approach (PWA) has been used to deal with design informativeness derived from…
Descriptors: Sampling, Weighted Scores, Hierarchical Linear Modeling, Educational Research
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van Aert, Robbie C. M.; Goos, Cas – Research Synthesis Methods, 2023
The partial correlation coefficient quantifies the relationship between two variables while taking into account the effect of one or multiple control variables. Researchers often want to synthesize partial correlation coefficients in a meta-analysis since these can be readily computed based on the reported results of a linear regression analysis.…
Descriptors: Computation, Sampling, Correlation, Meta Analysis
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Yamaguchi, Kazuhiro; Zhang, Jihong – Journal of Educational Measurement, 2023
This study proposed Gibbs sampling algorithms for variable selection in a latent regression model under a unidimensional two-parameter logistic item response theory model. Three types of shrinkage priors were employed to obtain shrinkage estimates: double-exponential (i.e., Laplace), horseshoe, and horseshoe+ priors. These shrinkage priors were…
Descriptors: Algorithms, Simulation, Mathematics Achievement, Bayesian Statistics
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Pearl, Dennis K.; Lesser, Lawrence M. – Teaching Statistics: An International Journal for Teachers, 2021
Jokes, cartoons, songs, videos, and quotes can be useful ways to engage students in discussion and learning key concepts about polling.
Descriptors: Surveys, Data Collection, Statistics Education, Teaching Methods
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Ransom, Keith J.; Perfors, Andrew; Hayes, Brett K.; Connor Desai, Saoirse – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
In describing how people generalize from observed samples of data to novel cases, theories of inductive inference have emphasized the learner's reliance on the contents of the sample. More recently, a growing body of literature suggests that different assumptions about how a data sample was generated can lead the learner to draw qualitatively…
Descriptors: Sampling, Generalization, Inferences, Logical Thinking
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Sandie Wong; Linda J. Harrison; Megan L. Gibson; Frances Press; Michael Bittman; Kim Crisp; Sharon Ryan – International Journal of Research & Method in Education, 2024
Despite the acknowledged complexity of early childhood educators' work, little is documented about how early childhood educators actually spend their time at work. A typical way of studying time at work is through the use of time-use diaries. Recent developments have shown the benefits of using randomized sampling electronic time-use diaries. This…
Descriptors: Early Childhood Education, Early Childhood Teachers, Time Management, Diaries
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Trunkenwald, Jannick; Moungabio, Fernand Malonga; Laval, Dominique – Canadian Journal of Science, Mathematics and Technology Education, 2022
This article deals with an introduction of probability at school through sensory modalities. This approach is based on sampling fluctuation with empirical observations of frequencies. Initially, we analyze how students from high school work on such a task by using dice, pencil, and paper. We then identify the use of schemas and data visualization…
Descriptors: Probability, Mathematics Education, High School Students, Mathematics Activities
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Pehr Jakobsson; Åse Fagerlund; Mari Laakso; Monica Londen – International Journal of Emotional Education, 2023
The present study addresses the concern for the well-being of teachers and school personnel by examining the efficacy of a multicomponent positive psychology intervention aimed at enhancing emotional well-being in the school environment. The study design comprised a clustered randomized controlled trial, targeting teachers and school personnel…
Descriptors: Well Being, Foreign Countries, Program Effectiveness, Intervention
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Hayes, Brett K.; Liew, Shi Xian; Desai, Saoirse Connor; Navarro, Danielle J.; Wen, Yuhang – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The samples of evidence we use to make inferences in everyday and formal settings are often subject to selection biases. Two property induction experiments examined group and individual sensitivity to one type of selection bias: sampling frames - causal constraints that only allow certain types of instances to be sampled. Group data from both…
Descriptors: Logical Thinking, Inferences, Bias, Individual Differences
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Çantas Ayar, Arzu; Kahriman, Ilknur; Küçük Alemdar, Dilek; Özoran, Yavuz – Early Child Development and Care, 2023
This study aimed to compare the effect of using white noise, embracing, and facilitated tucking on heel lance blood sampling in newborns. The study was a randomized controlled trial. Newborns totalling 160 were included in the study. The primary outcomes were evaluated pain and crying durations before, during, and after the procedure. The…
Descriptors: Neonates, Acoustics, Pain, Crying
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Abu-Ghalyoun, Omar – Educational Studies in Mathematics, 2021
Past studies have documented some pre-service teachers' (PSTs) difficulties in reasoning about sampling variability. This study adds to the body of literature by investigating the ideas that PSTs employ in reasoning about sampling variability, and by conjecturing what is behind the difficulties especially during the contextuality episodes. This…
Descriptors: Preservice Teachers, Abstract Reasoning, Sampling, Statistics Education
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Shen, Zuchao; Kelcey, Benjamin – Journal of Research on Educational Effectiveness, 2022
Optimal sampling frameworks attempt to identify the most efficient sampling plans to achieve an adequate statistical power. Although such calculations are theoretical in nature, they are critical to the judicious and wise use of funding because they serve as important starting points that guide practical discussions around sampling tradeoffs and…
Descriptors: Sampling, Research Design, Randomized Controlled Trials, Statistical Analysis
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Fred Wen, Cheng K.; Schneider, Stefan; Weigensberg, Marc J.; Weerman, Bas; Spruijt-Metz, Donna – Field Methods, 2023
Accurate assessment of saliva sampling time is essential for studies that collect cortisol sample in ambulatory settings. This study examined the sampling time assessed by user-submitted photos via a mobile application (ZEMI) compared with MEMSCaps™. Intra-class correlation coefficient (ICC) of the time differences between when the 16 adolescents…
Descriptors: Adolescents, Handheld Devices, Telecommunications, Computer Software
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Özmen, Zeynep Medine; Güven, Bülent – Journal of Pedagogical Research, 2022
The present study aimed to remediate pre-service teachers' misconceptions about sampling distributions and to develop their conceptual understanding through the use of conceptual change texts (CCTs). The participants consisted of 84 pre-service teachers. To determine the pre-service teachers' conceptual understanding of sampling distributions, an…
Descriptors: Preservice Teachers, Mathematics Teachers, Sampling, Statistical Distributions
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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
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