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Liang, Feifei; Gao, Qi; Li, Xin; Wang, Yongsheng; Bai, Xuejun; Liversedge, Simon P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Word spacing is important in guiding eye movements during spaced alphabetic reading. Chinese is unspaced and it remains unclear as to how Chinese readers segment and identify words in reading. We conducted two parallel experiments to investigate whether the positional probabilities of the initial and the final characters of a multicharacter word…
Descriptors: Reading Processes, Chinese, Orthographic Symbols, Word Recognition
Lindsay Ellis Lee; Anne N. Rinn; Karen E. Rambo-Hernandez – Gifted Child Quarterly, 2024
The Torrance Test of Creative Thinking (TTCT) is the most widely used norm-referenced creativity test used in gifted identification. Although commonly used for identifying talent, little is known about how creativity tests, like the TTCT-Figural, contribute to the probability of being identified as gifted especially with underrepresented…
Descriptors: Gifted, Identification, Creativity Tests, Creative Thinking
Courtney Pollack; Jordan L. Lawson; Anastasia E. Raczek; Eric Dearing; Mary E. Walsh; Gabrielle Kaufman; Yan R. Leigh – Applied Developmental Science, 2024
This study examines the long-term relation between an Integrated Student Support (ISS) intervention and postsecondary enrollment and completion for predominantly low-income students of color. We use propensity score weighting to estimate the relation between receiving ISS during elementary school and postsecondary outcomes for 2009-2017 high…
Descriptors: Low Income Students, Minority Group Students, Integrated Services, Student Needs
Vinchristo, Aldi Alexander – Eurasian Journal of Applied Linguistics, 2022
This study examines Mood, Modality, and Attitude as a part of Appraisal theory in the Editorial News of the "Sydney Morning Herald" Interpersonal Meta function Analysis. Three methods were used, including (1) Indicative (Declarative and Interrogative) mood, (2) Modalization (Indicative Type), Probability (may be) and Usuality…
Descriptors: Interpersonal Communication, Phrase Structure, Discourse Analysis, Editing
Ekol, George; Mlotshwa, Simphiwe – Pythagoras, 2022
This case study carried out during the 2020 coronavirus disease of 2019 (COVID-19) lockdown used online data collection means to investigate the distribution of cognitive demand levels of probability and counting principles (PCP) learning tasks in a popular online Grade 12 mathematics textbook, based on the PCP teachers' rating. The teachers'…
Descriptors: Cognitive Processes, Difficulty Level, Probability, Computation
Elbehary, Samah Gamal Ahmed – International Electronic Journal of Mathematics Education, 2022
Probability signifies a mainstream strand in mathematics curricula. Nonetheless, many curricular documents prepared for teachers might not offer enough support. In such a situation, a further reflection on teachers' professional knowledge for teaching probability is demanded; especially, from the perspective of probabilistic reasoning (PoPR) that…
Descriptors: Probability, Mathematics Instruction, Mathematics Teachers, Pedagogical Content Knowledge
Christian, Alvin; Jacob, Brian; Singleton, John D. – Annenberg Institute for School Reform at Brown University, 2022
The COVID-19 pandemic drew new attention to the role of school boards in the U.S. In this paper, we examine school districts' choices of learning modality -- whether and when to offer in-person, virtual, or hybrid instruction -- over the course of the 2020-21 pandemic school year. The analysis takes advantage of granular weekly data on learning…
Descriptors: School Districts, Pandemics, COVID-19, Decision Making
Wilhelms, Evan A.; Fraenkel, Liana; Reyna, Valerie F. – Applied Cognitive Psychology, 2018
We tested predictions of fuzzy-trace theory that qualitative health status and gist representations (ordinal and categorical) of risks contribute to willingness to start medications, beyond effects of objective risk, emotion (worry), and numeracy. Adults in two experiments were given hypothetical scenarios based on actual medications, varying…
Descriptors: Drug Therapy, Risk, Emotional Response, Numeracy
Günhan, Burak Kürsad; Friede, Tim; Held, Leonhard – Research Synthesis Methods, 2018
Network meta-analysis (NMA) is gaining popularity for comparing multiple treatments in a single analysis. Generalized linear mixed models provide a unifying framework for NMA, allow us to analyze datasets with dichotomous, continuous or count endpoints, and take into account multiarm trials, potential heterogeneity between trials and network…
Descriptors: Meta Analysis, Regression (Statistics), Statistical Inference, Probability
McAlevey, Lynn G.; Stent, Alan F. – International Journal of Mathematical Education in Science and Technology, 2018
The treatment of kurtosis in textbooks is both sparse and contradictory with applications rarely discussed. To address this, an easily understood definition of kurtosis is introduced and important applications are demonstrated. Two different approaches to teaching kurtosis are presented based on a financial application.
Descriptors: Statistical Distributions, Undergraduate Students, Probability, Statistical Data
Cahan, Sorel; Nirel, Ronit; Gamliel, Eyal – Higher Education Studies, 2018
Predictive validity considerations in selection dictate choice of the predictor with the highest predictive validity. Implementation of this principle in any specific selection process inevitably entails choice between imperfectly correlated alternative predictors, real or hypothetical, which are equivalent in terms of predictive validity. We show…
Descriptors: Predictor Variables, Higher Education, Predictive Validity, Correlation
Zhao, Li; Heyman, Gail D.; Chen, Lulu; Lee, Kang – Developmental Science, 2018
The present research examined the consequences of telling young children they have a reputation for being smart. Of interest was how this would affect their willingness to resist the temptation to cheat for personal gain as assessed by a temptation resistance task, in which children promised not to cheat in the game. Two studies with 3- and…
Descriptors: Young Children, Reputation, Intelligence, Cheating
Tang, Yun – ProQuest LLC, 2018
Propensity and prognostic score methods are two statistical techniques used to correct for the selection bias in nonexperimental studies. Recently, the joint use of propensity and prognostic scores (i.e., two-score methods) has been proposed to improve the performance of adjustments using propensity or prognostic scores alone for bias reduction.…
Descriptors: Statistical Analysis, Probability, Bias, Program Evaluation
Solichin, Mohammad Muchlis; Muhlis, Achmad; Ferdiant, Ahmad Ghufran – International Journal of Instruction, 2021
The aim of this study is to examine the effect of social support and self-regulated learning on the learning outcomes in Islamic Education courses in the Management of Islamic Education, Faculty of Tarbiyah State Islamic State Institute for Islamic Studies of Madura. To achieve the purpose, the researcher used quantitative research method. The…
Descriptors: Learning Motivation, Social Support Groups, Islam, Religious Education
Jones, Joshua – Mathematics Teacher: Learning and Teaching PK-12, 2021
Aside from being culturally relevant, artificial intelligence is also supporting companies in making business decisions. Consequently, "workforce needs have shifted rapidly," resulting in a demand for applicants who are skilled in "data, analytics, machine learning, and artificial intelligence" (Miller and Hughes 2017). This…
Descriptors: Man Machine Systems, Artificial Intelligence, Educational Technology, Technology Uses in Education