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Teng Zhao; Shiji Chen; Yunlong Yu; Peiwen Zheng; Chengcheng Lin; Jun Yan – Journal of Postsecondary Student Success, 2025
Global digital advancements provide postsecondary students with ample digital job opportunities. Thus, it is crucial to understand the psychological determinants that affect postsecondary students' choices of a digital career. Self-efficacy and interest are two widely used psychological determinants in the choice behavior of individuals. However,…
Descriptors: College Students, Self Efficacy, Technological Literacy, Student Interests
Huang, Francis L. – Journal of Experimental Education, 2022
Experiments in psychology or education often use logistic regression models (LRMs) when analyzing binary outcomes. However, a challenge with LRMs is that results are generally difficult to understand. We present alternatives to LRMs in the analysis of experiments and discuss the linear probability model, the log-binomial model, and the modified…
Descriptors: Regression (Statistics), Monte Carlo Methods, Probability, Error Patterns
Kingston, Mary; Twohill, Aisling – Statistics Education Research Journal, 2022
This paper reports on a study that investigated young children's responses to a range of probabilistic tasks. A central aspect of the study was our examination of the children's use of subjective thinking. Most research that has been conducted in relation to young children's probabilistic thinking has focused on the extent to which young children…
Descriptors: Young Children, Thinking Skills, Probability, Foreign Countries
Collier, Zachary K.; Leite, Walter L. – Journal of Experimental Education, 2022
Artificial neural networks (NN) can help researchers estimate propensity scores for quasi-experimental estimation of treatment effects because they can automatically detect complex interactions involving many covariates. However, NN is difficult to implement due to the complexity of choosing an algorithm for various treatment levels and monitoring…
Descriptors: Artificial Intelligence, Mentors, Beginning Teachers, Teacher Persistence
Gandhi, Haneet – Canadian Journal of Science, Mathematics and Technology Education, 2022
This study explores the epistemic considerations that seemed to govern thirty-one Indian teachers' beliefs while teaching certain concepts of probability, especially using random generators. It focuses on knowing how these teachers make transitions between the different interpretations of probability, namely, Logical (sometimes also known as…
Descriptors: Epistemology, Beliefs, Teacher Attitudes, Foreign Countries
Kazak, Sibel; Leavy, Aisling – Canadian Journal of Science, Mathematics and Technology Education, 2022
To promote the development of young children's probabilistic intuitions through experience, we focus on the dual nature of probability related to both belief (subjective notion) and frequency (objective notion). This paper reports on the responses of 7-8-year-olds on two tasks used to bridge subjective and objective notions of probability. We…
Descriptors: Concept Formation, Probability, Elementary School Students, Thinking Skills
Bixi Zhang; Spyros Konstantopoulos – Society for Research on Educational Effectiveness, 2022
Background: Meta-analysis refers to the statistical methods employed to combine results of several empirical studies in a topic of interest (Hedges & Olkin, 1985). Meta-analysis is often included in literature review studies to quantitatively analyze data from a collection of studies (Valentine et al., 2010). The statistical power of a…
Descriptors: Meta Analysis, Probability, Effect Size, Research Methodology
Teodóra Vékony; Claire Pleche; Orsolya Pesthy; Karolina Janacsek; Dezso Nemeth – npj Science of Learning, 2022
Procedural learning is key to optimal skill learning and is essential for functioning in everyday life. The findings of previous studies are contradictory regarding whether procedural learning can be modified by prioritizing speed or accuracy during learning. The conflicting results may be due to the fact that procedural learning is a multifaceted…
Descriptors: Learning Processes, Accuracy, Reaction Time, Cognitive Processes
Pilditch, Toby D.; Lagator, Sandra; Lagnado, David – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
How do we deal with unlikely witness testimonies? Whether in legal or everyday reasoning, corroborative evidence is generally considered a strong marker of support for the reported hypothesis. However, questions remain regarding how the prior probability, or base rate, of that hypothesis interacts with corroboration. Using a Bayesian network…
Descriptors: Evidence, Reliability, Logical Thinking, Probability
Davies, Annabel L.; Galla, Tobias – Research Synthesis Methods, 2021
Network meta-analysis (NMA) is a statistical technique for the comparison of treatment options. Outcomes of Bayesian NMA include estimates of treatment effects, and the probabilities that each treatment is ranked best, second best and so on. How exactly network topology affects the accuracy and precision of these outcomes is not fully understood.…
Descriptors: Meta Analysis, Network Analysis, Probability, Statistical Bias
Novak, Igor – Biochemistry and Molecular Biology Education, 2021
Ionization of amino acids (AA) is very important concept in biochemistry. We integrate the mathematical concept of probability with biochemically relevant process of AA ionization. We visualize the ionization process with Mathematica software discussing intramolecular interactions between weakly acidic/basic functional groups and charge--pH…
Descriptors: Biochemistry, Scientific Concepts, Visualization, Probability
Kaplar, Marija; Lužanin, Zorana; Verbic, Srdan – International Journal of STEM Education, 2021
Background: In the rapidly changing industrial environment and job market, engineering profession requires a vast body of skills, one of them being decision making under uncertainty. Knowing that misunderstanding of probability concepts can lead to wrong decisions, the main objective of this study is to investigate the presence of probability…
Descriptors: Misconceptions, Probability, Engineering Education, Undergraduate Students
Cassiday, Kristina R.; Cho, Youngmi; Harring, Jeffrey R. – Educational and Psychological Measurement, 2021
Simulation studies involving mixture models inevitably aggregate parameter estimates and other output across numerous replications. A primary issue that arises in these methodological investigations is label switching. The current study compares several label switching corrections that are commonly used when dealing with mixture models. A growth…
Descriptors: Probability, Models, Simulation, Mathematics
Long, J. Scott; Mustillo, Sarah A. – Sociological Methods & Research, 2021
Methods for group comparisons using predicted probabilities and marginal effects on probabilities are developed for regression models for binary outcomes. Unlike approaches based on the comparison of regression coefficients across groups, the methods we propose are unaffected by the scalar identification of the coefficients and are expressed in…
Descriptors: Regression (Statistics), Comparative Analysis, Probability, Groups
Groth, Randall E.; Austin, Jathan W.; Naumann, Madeline; Rickards, Megan – Mathematics Education Research Journal, 2021
The role of probability in curricula for children has fluctuated greatly over the past several decades. Recently, some countries have removed probability from their preschool and primary curricula, and others have retained it. One reason for such lack of agreement is that theory about early probability learning is still relatively new and under…
Descriptors: Mathematics Skills, Thinking Skills, Probability, Children