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Becker, Christoph K.; Ert, Eyal; Trautmann, Stefan T.; van de Kuilen, Gijs – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Risky decisions are often characterized by (a) imprecision about consequences and their likelihoods that can be reduced by information collection, and by (b) unavoidable background risk. This article addresses both aspects by eliciting risk attitude, prudence, and temperance in decisions from description and decisions from experience. The results…
Descriptors: Risk, Decision Making, Attitudes, Personality Traits
Gurkan, Gulsah; Benjamini, Yoav; Braun, Henry – Large-scale Assessments in Education, 2021
Employing nested sequences of models is a common practice when exploring the extent to which one set of variables mediates the impact of another set. Such an analysis in the context of logistic regression models confronts two challenges: (1) direct comparisons of coefficients across models are generally biased due to the changes in scale that…
Descriptors: Statistical Inference, Regression (Statistics), Adults, Models
Yardim, Tugçe; Engin, Gizem – Educational Policy Analysis and Strategic Research, 2021
This study aims to analyze graduate theses completed between 2010 and 2020 about academic procrastination. Qualitative survey method was used in the study. In the study, document analysis was used as the analysis method. After an initial search made using "academic procrastination" keyword in Council of Higher Education Thesis Center's…
Descriptors: Graduate Students, Masters Theses, Student Behavior, Time Management
Bader, Felix; Baumeister, Bastian; Berger, Roger; Keuschnigg, Marc – Sociological Methods & Research, 2021
The "transportability" of laboratory findings to other instances than the original implementation entails the robustness of rates of observed behaviors and estimated treatment effects to changes in the specific research setting and in the sample under study. In four studies based on incentivized games of fairness, trust, and reciprocity,…
Descriptors: Generalization, Replication (Evaluation), Laboratory Experiments, Games
Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Grantee Submission, 2021
Multilevel structural equation (MSEM) models allow researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This paper…
Descriptors: Sampling, Structural Equation Models, Factor Structure, Monte Carlo Methods
Irang Kim; Yao Wang; Sarah Dababnah; Gail Betz – Review Journal of Autism and Developmental Disorders, 2021
The number of Asian American children with autism is steadily increasing. Previous research reports that parents of children with autism experience higher stress compared with parents of typically developing children. Immigrant families of children with autism are particularly vulnerable to poor access to healthcare, social services, information,…
Descriptors: Asian Americans, Parents, Children, Autism Spectrum Disorders
Shen, Ting; Konstantopoulos, Spyros – Journal of Experimental Education, 2022
Large-scale education data are collected via complex sampling designs that incorporate clustering and unequal probability of selection. Multilevel models are often utilized to account for clustering effects. The probability weighted approach (PWA) has been frequently used to deal with the unequal probability of selection. In this study, we examine…
Descriptors: Data Collection, Educational Research, Hierarchical Linear Modeling, Bayesian Statistics
Fielding, Jill; Makar, Katie – Instructional Science: An International Journal of the Learning Sciences, 2022
Conceptual challenge is often considered a necessary ingredient for promoting deep learning in an inquiry-based environment. However, challenge alone does not support conceptual development. In this paper, we draw on complexity theory as a theoretical lens to explore how a primary teacher facilitated students' conceptual change through repeated…
Descriptors: Elementary School Students, Statistics Education, Mathematics Education, Elementary School Mathematics
Richlen, Mindy L.; Curran, Mary Carla; Chadwick, Christina; Hubbard, Katherine A. – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2022
The Earth's oceans are home to a diverse array of life, from large marine mammals to microscopic organisms. Among the most important are the marine phytoplankton, which comprise the basis of marine food webs, and also produce a large percentage of the Earth's oxygen through photosynthesis. Although the vast majority of phytoplankton are essential…
Descriptors: Oceanography, Science Activities, Marine Biology, Marine Education
Bellara, Aarti P.; Montrosse-Moorhead, Bianca; Casa, Tutita M.; Gubbins, E. Jean; Hayden, Stacy M. – NASSP Bulletin, 2022
Partnerships between educational researchers and school-based administrators and educators is imperative to successfully identifying evidence-based practices to improve pedagogy, curriculum, and student outcomes. In this paper, we recognize how being approached by educational researchers can be overwhelming for administrators and educators. We…
Descriptors: Researchers, Principals, Teachers, Teamwork
Ferguson, Tyler David; Briesch, Amy M.; Volpe, Robert J.; Donaldson, Aberdine R.; Feinberg, Adam B. – Assessment for Effective Intervention, 2018
Time-sampling techniques are popular among school practitioners and researchers alike when conducting observations of student behavior. Despite their popularity, the psychometric properties of such observation data have not received much attention, likely given that both procedures and targets vary widely across individual coding systems. A…
Descriptors: Observation, Psychometrics, Student Behavior, Sampling
Ernesto Sánchez; Victor Nozair García-Ríos; Francisco Sepúlveda – Educational Studies in Mathematics, 2024
Sampling distributions are fundamental for statistical inference, yet their abstract nature poses challenges for students. This research investigates the development of high school students' conceptions of sampling distribution through informal significance tests with the aid of digital technology. The study focuses on how technological tools…
Descriptors: High School Students, Concept Formation, Thinking Skills, Skill Development
Levine, Burton; Berzofsky, Marcus E.; Hampton, Joel; Battles, Haven B. – International Journal of Social Research Methodology, 2019
Dual-frame, random-digit-dialing (DFRDD) surveys, using a frame of landline telephone numbers and a frame of cell phone numbers, have become the norm for telephone surveys. Two alternative frame constructions sample exclusively from a cell phone frame, referred to as the 'single-frame cell,' and sample from the listed landline frame and the cell…
Descriptors: Telephone Surveys, Sampling, Handheld Devices, Data Collection
Acar, Tülin – International Journal of Assessment Tools in Education, 2019
The purpose of this study was to write programs to define sampling sizes and observation units by probability sampling methods and to provide an idea for software developers. The algorithms of the programs were written in Python 3. The programs may be run by double-clicking on the Windows operating system or by the command prompt of the DOS…
Descriptors: Sample Size, Computer Software, Probability, Statistical Analysis
Rodríguez-Ferreiro, Javier; Vadillo, Miguel A.; Barberia, Itxaso – Teaching of Psychology, 2023
Background: We have previously presented two educational interventions aimed to diminish causal illusions and promote critical thinking. In both cases, these interventions reduced causal illusions developed in response to active contingency learning tasks, in which participants were able to decide whether to introduce the potential cause in each…
Descriptors: Sampling, Inferences, Psychology, Undergraduate Students

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