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Kaplan, David; Chen, Jianschen; Yavuz, Sinan; Lyu, Weicong – Grantee Submission, 2022
The purpose of this paper is to demonstrate and evaluate the use of "Bayesian dynamic borrowing"(Viele et al, in Pharm Stat 13:41-54, 2014) as a means of systematically utilizing historical information with specific applications to large-scale educational assessments. Dynamic borrowing via Bayesian hierarchical models is a special case…
Descriptors: Bayesian Statistics, Models, Prediction, Accuracy
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Walker, Adrian R.; Navarro, Danielle J.; Newell, Ben R.; Beesley, Tom – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The exploration/exploitation trade-off (EE trade-off) describes how, when faced with several competing alternatives, decision-makers must often choose between a known good alternative (exploitation) and one or more unknown but potentially more rewarding alternatives (exploration). Prevailing theory on how humans perform the EE trade-off states…
Descriptors: Decision Making, Inquiry, Ambiguity (Context), Reinforcement
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Romanowich, Paul; Chen, Qian – International Journal of Social Research Methodology, 2022
Predictive power of many behavioral measures relies on high test-retest reliability, whereby a measure yields similar data when repeated measure administration occurs at spaced-out intervals. However, major environmental disruptions between measure administration may impact test-retest reliability. The novel coronavirus (COVID-19) pandemic caused…
Descriptors: COVID-19, Pandemics, Test Reliability, Behavior Rating Scales
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Veerasamy, Ashok Kumar; Laakso, Mikko-Jussi; D'Souza, Daryl – Informatics in Education, 2022
Previous studies have proposed many indicators to assess the effect of student engagement in learning and academic achievement but have not yet been clearly articulated. In addition, while student engagement tracking systems have been designed, they rely on the log data but not on performance data. This paper presents results of a non-machine…
Descriptors: Formative Evaluation, Educational Indicators, Learner Engagement, At Risk Students
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Ilhan Ildiz, Gökçe; Uçar Çabuk, Feyza; Seven, Serdal; Kaya, Isa – International Journal of Psychology and Educational Studies, 2022
This study aims to analyse the predictiveness of the emotion socialization behaviours of the mothers of 6-year-old children on the children's attachment levels. The study group of this descriptive research designed with the screening model, one of the quantitative research methods, included 143 pairs of mothers and 60- to 72-month-old…
Descriptors: Prediction, Mothers, Psychological Patterns, Socialization
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Onnis, Luca; Lim, Alfred; Cheung, Shirley; Huettig, Falk – Cognitive Science, 2022
Prediction is one characteristic of the human mind. But what does it mean to say the mind is a "prediction machine" and "inherently forward looking" as is frequently claimed? In natural languages, many contexts are not easily predictable in a forward fashion. In English, for example, many frequent verbs do not carry unique…
Descriptors: Prediction, Language Processing, Reading Processes, Task Analysis
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Vista, Alvin – International Journal of Social Research Methodology, 2022
In the current era of more extreme political and religious views coming into the mainstream, this paper investigates whether party affiliation is associated with the concept of religious morality more than political ideology. To answer this research question, we construct an empirical scale of religious morality based on data from opinion polls,…
Descriptors: Religious Factors, Moral Values, Political Attitudes, Ideology
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Tatjana Adamovic; Aleksandra Jurišic-Škevin; Dejan Madic; Mirjana Sovilj; Ljiljana Jelicic; Slavica Maksimovic; Miško Subotic – Early Child Development and Care, 2022
This study analysed whether the assessment of head righting reflex (HRR) in babies immediately after birth can be used in prediction of early child development. In 54 healthy newborns, testing of HRR was conducted on the third day upon birth. The HRR at birth were correlated with balance ability (BA), speech and language development (SLD) and…
Descriptors: Motor Reactions, Neonates, Prediction, Child Development
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Haberman, Shelby J. – ETS Research Report Series, 2019
Cross-validation is a common statistical procedure applied to problems that are otherwise computationally intractable. It is often employed to assess the effectiveness of prediction procedures. In this report, cross-validation is discussed in terms of "U"-statistics. This approach permits consideration of the statistical properties of…
Descriptors: Statistical Analysis, Generalization, Prediction, Computation
Eberts, Randall W. – W. E. Upjohn Institute for Employment Research, 2023
The COVID-19 pandemic inflicted massive disruptions on all aspects of daily life, not least of which was the education of K-12 students. It is accepted wisdom among many educational researchers that students need face-to-face instruction from certified teachers in order to flourish. But because students in many districts were forced to stay home…
Descriptors: Public Schools, COVID-19, Pandemics, Achievement Gains
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Shtulman, Andrew; Young, Andrew G. – Child Development Perspectives, 2023
What do cows drink? The correct answer is water, but many are tempted to say milk. The disposition to override an intuitive response (milk) with a more analytic response (water) is known as "cognitive reflection." Tests of cognitive reflection predict a wide range of skills and abilities in adults. In this article, we discuss the…
Descriptors: Child Development, Cognitive Development, Thinking Skills, Prediction
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Grinstead, John; Kirk, Sadler; Pratt, Amy; Arrieta-Zamudio, Ana – Journal of Speech, Language, and Hearing Research, 2023
Purpose: We measure typically developing monolingual child Spanish speakers' lexical development with a range of standard expressive and receptive tests. We also measure their comprehension of sentences with the existential quantifier "algunos" "some" to determine their abilities to generate "some, but not all" scalar…
Descriptors: Prediction, Language Acquisition, Vocabulary Development, Spanish
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Kok, Ellen M.; Jarodzka, Halszka; Sibbald, Matt; van Gog, Tamara – Cognitive Science, 2023
In online lectures, unlike in face-to-face lectures, teachers lack access to (nonverbal) cues to check if their students are still "with them" and comprehend the lecture. The increasing availability of low-cost eye-trackers provides a promising solution. These devices measure unobtrusively where students look and can visualize these data…
Descriptors: Prediction, Listening Comprehension, Video Technology, Lecture Method
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Fry, Kym; English, Lyn D. – Mathematics Teacher: Learning and Teaching PK-12, 2023
How might fourth graders address the problem of measuring the size of a leaf? And why might their classroom teachers choose such a shape to measure? One group of fourth-grade students in an urban Australian school were interested in knowing the sizes of leaves on a passionfruit vine growing at their school. The children were excited after a visit…
Descriptors: Grade 4, Urban Schools, Elementary School Students, Measurement
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Mangino, Anthony A.; Bolin, Jocelyn H.; Finch, W. Holmes – Educational and Psychological Measurement, 2023
This study seeks to compare fixed and mixed effects models for the purposes of predictive classification in the presence of multilevel data. The first part of the study utilizes a Monte Carlo simulation to compare fixed and mixed effects logistic regression and random forests. An applied examination of the prediction of student retention in the…
Descriptors: Prediction, Classification, Monte Carlo Methods, Foreign Countries
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