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Keskitalo, Tuulikki; Ruokamo, Heli – Australasian Journal of Educational Technology, 2021
Medical education can be emotionally charged for many reasons, while simulation-based activities in particular are designed to generate emotional reactions. However, few studies have concentrated on the relationship between learning and emotions in this field, despite widespread interest in the topic in other areas. The aim of this research was to…
Descriptors: Psychological Patterns, Profiles, Simulation, Medical Education
Rubright, Jonathan D.; Nandakumar, Ratna; Glutting, Joseph J. – Practical Assessment, Research & Evaluation, 2014
When exploring missing data techniques in a realistic scenario, the current literature is limited: most studies only consider consequences with data missing on a single variable. This simulation study compares the relative bias of two commonly used missing data techniques when data are missing on more than one variable. Factors varied include type…
Descriptors: Simulation, Data, Comparative Analysis, Predictor Variables
Tipton, Elizabeth; Pustejovsky, James E. – Journal of Educational and Behavioral Statistics, 2015
Meta-analyses often include studies that report multiple effect sizes based on a common pool of subjects or that report effect sizes from several samples that were treated with very similar research protocols. The inclusion of such studies introduces dependence among the effect size estimates. When the number of studies is large, robust variance…
Descriptors: Meta Analysis, Effect Size, Computation, Robustness (Statistics)
Harring, Jeffrey R.; Weiss, Brandi A.; Li, Ming – Educational and Psychological Measurement, 2015
Several studies have stressed the importance of simultaneously estimating interaction and quadratic effects in multiple regression analyses, even if theory only suggests an interaction effect should be present. Specifically, past studies suggested that failing to simultaneously include quadratic effects when testing for interaction effects could…
Descriptors: Structural Equation Models, Statistical Analysis, Monte Carlo Methods, Computation
Fischer, Aaron J.; Dart, Evan H.; Leblanc, Hannah; Hartman, Kelsey L.; Steeves, Rachel O.; Gresham, Frank M. – Psychology in the Schools, 2016
School-based behavioral consultation with classroom teachers is one of the primary ways school psychologists deliver intervention services to students. The present study aimed to evaluate the acceptability of videoconferencing (VC) with teachers as an alternative medium of consultative communication. Specifically, problem identification interviews…
Descriptors: Videoconferencing, Counselor Teacher Cooperation, Consultation Programs, Teacher Attitudes
Adelman, James S.; Estes, Zachary – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Adelman, Marquis, Sabatos-DeVito, and Estes (2013) collected word naming latencies from 4 participants who read 2,820 words 50 times each. Their recommendation and practice was that R2 targets set for models should take into account subject idiosyncrasies as replicable patterns, equivalent to a subjects-as-fixed-effects assumption. In light of an…
Descriptors: Word Recognition, Naming, Individual Differences, Multiple Regression Analysis
de Leeuw, Christiaan; Klugkist, Irene – Multivariate Behavioral Research, 2012
In most research, linear regression analyses are performed without taking into account published results (i.e., reported summary statistics) of similar previous studies. Although the prior density in Bayesian linear regression could accommodate such prior knowledge, formal models for doing so are absent from the literature. The goal of this…
Descriptors: Data, Multiple Regression Analysis, Bayesian Statistics, Models
Liu, Min; Lin, Tsung-I – Educational and Psychological Measurement, 2014
A challenge associated with traditional mixture regression models (MRMs), which rest on the assumption of normally distributed errors, is determining the number of unobserved groups. Specifically, even slight deviations from normality can lead to the detection of spurious classes. The current work aims to (a) examine how sensitive the commonly…
Descriptors: Regression (Statistics), Evaluation Methods, Indexes, Models
Morse, Brendan J.; Johanson, George A.; Griffeth, Rodger W. – Applied Psychological Measurement, 2012
Recent simulation research has demonstrated that using simple raw score to operationalize a latent construct can result in inflated Type I error rates for the interaction term of a moderated statistical model when the interaction (or lack thereof) is proposed at the latent variable level. Rescaling the scores using an appropriate item response…
Descriptors: Item Response Theory, Multiple Regression Analysis, Error of Measurement, Models
Pokropek, Artur – Sociological Methods & Research, 2015
This article combines statistical and applied research perspective showing problems that might arise when measurement error in multilevel compositional effects analysis is ignored. This article focuses on data where independent variables are constructed measures. Simulation studies are conducted evaluating methods that could overcome the…
Descriptors: Error of Measurement, Hierarchical Linear Modeling, Simulation, Evaluation Methods
Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
Oberle, Monika; Leunig, Johanna – Citizenship, Social and Economics Education, 2016
Civics courses strive to promote students' political competencies, which according to the model of Detjen et al. incorporate content knowledge, abilities to make political judgements and take political action, as well as motivational skills and attitudes. For achieving these goals, high hopes are placed on active learning tools such as political…
Descriptors: Foreign Countries, Citizenship Education, Civics, Simulation
Monaghan, Conal; Bizumic, Boris; Reynolds, Katherine; Smithson, Michael; Johns-Boast, Lynette; van Rooy, Dirk – European Journal of Engineering Education, 2015
One prominent approach in the exploration of the variations in project team performance has been to study two components of the aggregate personalities of the team members: conscientiousness and agreeableness. A second line of research, known as self-categorisation theory, argues that identifying as team members and the team's performance norms…
Descriptors: Performance Based Assessment, Student Projects, Computer Software, Programming
Chaparro-Pelaez, Julian; Iglesias-Pradas, Santiago; Pascual-Miguel, Felix J.; Hernandez-Garcia, Angel – Interactive Learning Environments, 2013
Although literature about problem based learning (PBL) is not scarce, there is little research on experiences about learning methodologies that combine PBL and the use of simulation tools. This lack of studies is even more notable in the case of engineering courses. The motivation for this study is to show how such a combination of PBL and…
Descriptors: Problem Based Learning, Engineering, Engineering Education, College Students
Williams, Matt N.; Gomez Grajales, Carlos Alberto; Kurkiewicz, Dason – Practical Assessment, Research & Evaluation, 2013
In 2002, an article entitled "Four assumptions of multiple regression that researchers should always test" by Osborne and Waters was published in "PARE." This article has gone on to be viewed more than 275,000 times (as of August 2013), and it is one of the first results displayed in a Google search for "regression…
Descriptors: Multiple Regression Analysis, Misconceptions, Reader Response, Predictor Variables