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Taverna, Andrea S.; Padilla, Migdalia I.; Baiocchi, María C.; Peralta, Olga A. – European Journal of Psychology of Education, 2021
Although there is wide evidence on young children's category learning, questions concerning how cognitive mechanisms and social mediation work collaboratively in this process remain sparse. Here, we study the impact of pedagogy in young children's categorization of novel artifacts. A before-and-after micro-genetic study compared 58 3-year-old…
Descriptors: Toddlers, Learning Processes, Cues, Logical Thinking
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Gonzalez-Ocantos, Ezequiel; LaPorte, Jody – Sociological Methods & Research, 2021
Scholars who conduct process tracing often face the problem of missing data. The inability to document key steps in their causal chains makes it difficult to validate theoretical models. In this article, we conceptualize "missingness" as it relates to process tracing, describe different scenarios in which it is pervasive, and present…
Descriptors: Data, Research Problems, Qualitative Research, Causal Models
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Goddu, Mariel K.; Sullivan, J. Nicholas; Walker, Caren M. – Child Development, 2021
The ability to consider multiple possibilities forms the basis for a wide variety of human-unique cognitive capacities. When does this skill develop? Previous studies have narrowly focused on children's ability to prepare for incompatible future outcomes. Here, we investigate this capacity in a causal learning context. Adults (N = 109) and 18- to…
Descriptors: Toddlers, Cognitive Processes, Cognitive Development, Causal Models
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Neupane, Nabaraj – Journal of Practical Studies in Education, 2021
Since research work is an adventurous expedition, one requires clear pathways, without which the researcher can be lost in the foggy way. To develop a good roadmap is, thus, a crucial task on the part of the researcher. Based on this assumption, this study aimed to conceptualize the notions, functions, and components of literature review that…
Descriptors: Literature Reviews, Inferences, Guidelines, Researchers
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Lang, Joseph B. – Journal of Educational and Behavioral Statistics, 2023
This article is concerned with the statistical detection of copying on multiple-choice exams. As an alternative to existing permutation- and model-based copy-detection approaches, a simple randomization p-value (RP) test is proposed. The RP test, which is based on an intuitive match-score statistic, makes no assumptions about the distribution of…
Descriptors: Identification, Cheating, Multiple Choice Tests, Item Response Theory
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LaTourrette, Alexander; Waxman, Sandra; Wakschlag, Lauren S.; Norton, Elizabeth S.; Weisleder, Adriana – Journal of Speech, Language, and Hearing Research, 2023
Purpose: This study examines online speech processing in typically developing and late-talking 2-year-old children, comparing both groups' word recognition, word prediction, and word learning. Method: English-acquiring U.S. children, from the "When to Worry" study of language and social--emotional development, were identified as typical…
Descriptors: Toddlers, Vocabulary Development, Language Processing, Word Recognition
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Ha, Hyorim; Lee, Hee Seung – Metacognition and Learning, 2023
For successful learning, students need to evaluate their learning status relative to their learning goals and regulate their study in response to such monitoring. The present study investigated whether making metacognitive judgments on previously studied text would enhance the learning of that studied (backward effect) and newly studied text…
Descriptors: Inferences, Memory, Metacognition, Evaluative Thinking
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Raykov, Tenko – Measurement: Interdisciplinary Research and Perspectives, 2023
This software review discusses the capabilities of Stata to conduct item response theory modeling. The commands needed for fitting the popular one-, two-, and three-parameter logistic models are initially discussed. The procedure for testing the discrimination parameter equality in the one-parameter model is then outlined. The commands for fitting…
Descriptors: Item Response Theory, Models, Comparative Analysis, Item Analysis
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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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Vidushi Adlakha; Eric Kuo – Physical Review Physics Education Research, 2023
Recent critiques of physics education research (PER) studies have revoiced the critical issues when drawing causal inferences from observational data where no intervention is present. In response to a call for a "causal reasoning primer" in PER, this paper discusses some of the fundamental issues in statistical causal inference. In…
Descriptors: Physics, Science Education, Statistical Inference, Causal Models
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Henry Markovits; Valerie A. Thompson – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Mental model (Johnson-Laird, 2001) and probabilistic theories (Oaksford & Chater, 2009) claim to provide distinct explanations of human reasoning. However, the dual strategy model of reasoning suggests that this distinction corresponds to different reasoning strategies, termed "counterexample" and "statistical,"…
Descriptors: Abstract Reasoning, Thinking Skills, Learning Strategies, Logical Thinking
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Sehl, Claudia G.; Denison, Stephanie; Friedman, Ori – Developmental Psychology, 2023
Children have a robust social preference for people similar to them, like those who share their language, accent, and race. In the present research, we show that this preference can diminish when children consider who they want to learn about. Across three experiments, 4- to 6-year-olds (total N = 160; 74 female, 86 male, from the Waterloo region…
Descriptors: Childrens Attitudes, Inferences, Social Cognition, Familiarity
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Öner, Günes; Soley, Gaye – Developmental Psychology, 2023
Children are sensitive to their own and others' epistemic states and use these to guide their learning and communication. Here, we systematically examined children's use of epistemic states to make diagnostic social inferences. Specifically, we investigated children's group membership inferences based on what others do and do not know and what…
Descriptors: Children, Childrens Attitudes, Epistemology, Cognitive Processes
Jennifer Hill; George Perrett; Vincent Dorie – Grantee Submission, 2023
Estimation of causal effects requires making comparisons across groups of observations exposed and not exposed to a a treatment or cause (intervention, program, drug, etc). To interpret differences between groups causally we need to ensure that they have been constructed in such a way that the comparisons are "fair." This can be…
Descriptors: Causal Models, Statistical Inference, Artificial Intelligence, Data Analysis
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Attia Noor – International Society for Technology, Education, and Science, 2023
Narrative inquiry is a type of qualitative research that explores human experiences through lived or told stories to understand a phenomenon. Narrative researchers collect data through spoken or written stories and life experiences of an individual (subject). The data is examined in chronological order to understand the meaning of the phenomenon…
Descriptors: Personal Narratives, Ethnography, Learning Processes, Epistemology
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