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Zeng, Ji; Yin, Ping; Shedden, Kerby A. – Educational and Psychological Measurement, 2015
This article provides a brief overview and comparison of three matching approaches in forming comparable groups for a study comparing test administration modes (i.e., computer-based tests [CBT] and paper-and-pencil tests [PPT]): (a) a propensity score matching approach proposed in this article, (b) the propensity score matching approach used by…
Descriptors: Comparative Analysis, Computer Assisted Testing, Probability, Classification
Oyarzabal, Omar A. – Journal of Extension, 2015
This article describes the incorporation of a dice game (piggy) to teach food safety hazards and risk in an engaging way in HACCP classes. Each player accumulates points by rolling two dice, but loses points in a turn when rolling a 7, or all accumulated points when rolling two consecutive doubles. This game helps explain the difference between a…
Descriptors: Educational Games, Food Standards, Safety, Teaching Methods
Chen, Yang; Wuillemin, Pierre-Henr; Labat, Jean-Marc – International Educational Data Mining Society, 2015
Estimating the prerequisite structure of skills is a crucial issue in domain modeling. Students usually learn skills in sequence since the preliminary skills need to be learned prior to the complex skills. The prerequisite relations between skills underlie the design of learning sequence and adaptation strategies for tutoring systems. The…
Descriptors: Skills, Data Analysis, Students, Performance
Steiner, Peter M.; Kim, Jee-Seon – Society for Research on Educational Effectiveness, 2015
Despite the popularity of propensity score (PS) techniques they are not yet well studied for matching multilevel data where selection into treatment takes place among level-one units within clusters. This paper suggests a PS matching strategy that tries to avoid the disadvantages of within- and across-cluster matching. The idea is to first…
Descriptors: Computation, Outcomes of Treatment, Multivariate Analysis, Probability
Pan, Tianshu; Yin, Yue – Applied Measurement in Education, 2017
In this article, we propose using the Bayes factors (BF) to evaluate person fit in item response theory models under the framework of Bayesian evaluation of an informative diagnostic hypothesis. We first discuss the theoretical foundation for this application and how to analyze person fit using BF. To demonstrate the feasibility of this approach,…
Descriptors: Bayesian Statistics, Goodness of Fit, Item Response Theory, Monte Carlo Methods
Wind, Stefanie A. – Educational Measurement: Issues and Practice, 2017
Mokken scale analysis (MSA) is a probabilistic-nonparametric approach to item response theory (IRT) that can be used to evaluate fundamental measurement properties with less strict assumptions than parametric IRT models. This instructional module provides an introduction to MSA as a probabilistic-nonparametric framework in which to explore…
Descriptors: Probability, Nonparametric Statistics, Item Response Theory, Scaling
Lau, Jey Han; Clark, Alexander; Lappin, Shalom – Cognitive Science, 2017
The question of whether humans represent grammatical knowledge as a binary condition on membership in a set of well-formed sentences, or as a probabilistic property has been the subject of debate among linguists, psychologists, and cognitive scientists for many decades. Acceptability judgments present a serious problem for both classical binary…
Descriptors: Grammar, Probability, Sentences, Language Research
Danilowicz-Gösele, Kamila; Lerche, Katharina; Meya, Johannes; Schwager, Robert – Education Economics, 2017
This paper studies the determinants of academic success using a unique administrative data set of a German university. We show that high school grades are strongly associated with both graduation probabilities and final grades, whereas variables measuring social origin or income have only a smaller impact. Moreover, the link between high school…
Descriptors: Foreign Countries, College Students, Predictor Variables, Academic Achievement
Haberman, Shelby J.; Lee, Yi-Hsuan – ETS Research Report Series, 2017
In investigations of unusual testing behavior, a common question is whether a specific pattern of responses occurs unusually often within a group of examinees. In many current tests, modern communication techniques can permit quite large numbers of examinees to share keys, or common response patterns, to the entire test. To address this issue,…
Descriptors: Student Evaluation, Testing, Item Response Theory, Maximum Likelihood Statistics
Petzold, Knut – Journal of Studies in International Education, 2017
As the experience of studying abroad can signal general and transnational human capital, it is considered to be increasingly important for professional careers, particularly in the context of economies' internationalization. However, studies using graduate surveys face problems of self-selection and studies on employers' opinions face problems of…
Descriptors: Foreign Countries, Study Abroad, Recruitment, Criteria
Kelly, Bridget; Margolis, Marjorie; McCormack, Lauren; LeBaron, Patricia A.; Chowdhury, Dhuly – Field Methods, 2017
The literature on factors that influence participation in qualitative research is lacking. We conducted an experiment with a nationally representative sample to test the impact of different incentive types and amounts on willingness to participate in a hypothetical qualitative interview. We randomized participants from an online panel to one of…
Descriptors: Participant Characteristics, Qualitative Research, Incentives, Comparative Analysis
Schulze, Christin; van Ravenzwaaij, Don; Newell, Ben R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Learning to choose adaptively when faced with uncertain and variable outcomes is a central challenge for decision makers. This study examines repeated choice in dynamic probability learning tasks in which outcome probabilities changed either as a function of the choices participants made or independently of those choices. This presence/absence of…
Descriptors: Decision Making, Rewards, Persistence, Probability
Cazier, Joseph A.; Jones, Leslie Sargent; McGee, Jennifer; Jacobs, Mark; Paprocki, Daniel; Sledge, Rachel A. – Journal of the National Collegiate Honors Council, 2017
Most enrollment management systems today use historical data to build rough forecasts of what percentage of students will likely accept an offer of enrollment based on historical acceptance rates. While this aggregate forecast method has its uses, we propose that building an enrollment model based on predicting an individual's likelihood of…
Descriptors: Honors Curriculum, Enrollment Management, College Students, Probability
Cain, Meghan K.; Zhang, Zhiyong; Yuan, Ke-Hai – Grantee Submission, 2017
Nonnormality of univariate data has been extensively examined previously (Blanca et al., 2013; Micceri, 1989). However, less is known of the potential nonnormality of multivariate data although multivariate analysis is commonly used in psychological and educational research. Using univariate and multivariate skewness and kurtosis as measures of…
Descriptors: Multivariate Analysis, Probability, Statistical Distributions, Psychological Studies
Moussa-Inaty, Jase; Causapin, Mark – International Journal for Technology in Mathematics Education, 2019
The majority of university students in the United Arab Emirates are English language learners. As a country that has only recently established its educational system based on an American model, it has adopted English as its language for teaching and learning. Challenges related to the use of a second language have been noted and simple…
Descriptors: Cognitive Processes, Difficulty Level, Probability, Statistics Education