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Levpušcek, Melita Puklek; Cukon, Maja – Center for Educational Policy Studies Journal, 2022
The present study investigated relationships between statistics anxiety (SA), trait anxiety, attitudes towards mathematics and statistics, and academic achievement among university students who had at least one study course related to statistics in their study programme. Five hundred and twelve students from the University of Ljubljana completed…
Descriptors: Statistics Education, Anxiety, Test Anxiety, Gender Differences
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Pampaka, Maria; Hutcheson, Graeme; Williams, Julian – International Journal of Research & Method in Education, 2016
Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…
Descriptors: Data Analysis, Statistical Inference, Error of Measurement, Computation
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Talloen, Wouter; Moerkerke, Beatrijs; Loeys, Tom; De Naeghel, Jessie; Van Keer, Hilde; Vansteelandt, Stijn – Journal of Educational and Behavioral Statistics, 2016
To assess the direct and indirect effect of an intervention, multilevel 2-1-1 studies with intervention randomized at the upper (class) level and mediator and outcome measured at the lower (student) level are frequently used in educational research. In such studies, the mediation process may flow through the student-level mediator (the within…
Descriptors: Intervention, Hierarchical Linear Modeling, Computation, Randomized Controlled Trials
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Borgna, Georgianna; Walton, Dawn; Convertino, Carol; Marschark, Marc; Trussell, Jessica – Deafness & Education International, 2018
Various studies have examined possible loci of deaf learners' documented challenges with regard to reading, usually focusing on language-related factors. Deaf students also frequently struggle in mathematics and science, but fewer studies have examined possible reasons for those difficulties. The present study examined numerical and non-numerical…
Descriptors: Numeracy, Deafness, College Students, Mathematical Aptitude
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Satake, Eiki; Murray, Amy Vashlishan – Journal of Statistics Education, 2014
Although Bayesian methodology has become a powerful approach for describing uncertainty, it has largely been avoided in undergraduate statistics education. Here we demonstrate that one can present Bayes' Rule in the classroom through a hypothetical, yet realistic, legal scenario designed to spur the interests of students in introductory- and…
Descriptors: Bayesian Statistics, College Mathematics, Mathematics Instruction, Statistics
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Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
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Williams, Amanda S. – Statistics Education Research Journal, 2013
Statistics anxiety is a problem for most graduate students. This study investigates the relationship between intolerance of uncertainty, worry, and statistics anxiety. Intolerance of uncertainty was significantly related to worry, and worry was significantly related to three types of statistics anxiety. Six types of statistics anxiety were…
Descriptors: Graduate Students, Statistics, Anxiety, Correlation
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Psycharis, Sarantos – Educational Technology & Society, 2016
Computational experiment approach considers models as the fundamental instructional units of Inquiry Based Science and Mathematics Education (IBSE) and STEM Education, where the model take the place of the "classical" experimental set-up and simulation replaces the experiment. Argumentation in IBSE and STEM education is related to the…
Descriptors: Science Education, Mathematics Education, Persuasive Discourse, Experiments
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Williams, Amanda – Journal of Statistics Education, 2014
The purpose of the current research was to investigate the relationship between preference for numerical information (PNI), math self-concept, and six types of statistics anxiety in an attempt to establish support for the nomological validity of the PNI. Correlations indicate that four types of statistics anxiety were strongly related to PNI, and…
Descriptors: Correlation, Preferences, Self Concept, Mathematics Skills
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Ghergulescu, Ioana; Muntean, Cristina Hava – International Journal of Artificial Intelligence in Education, 2016
Engagement influences participation, progression and retention in game-based e-learning (GBeL). Therefore, GBeL systems should engage the players in order to support them to maximize their learning outcomes, and provide the players with adequate feedback to maintain their motivation. Innovative engagement monitoring solutions based on players'…
Descriptors: Case Studies, Questionnaires, Electronic Learning, Educational Games
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Doebler, Philipp; Holling, Heinz; Bohning, Dankmar – Psychological Methods, 2012
We propose 2 related models for the meta-analysis of diagnostic tests. Both models are based on the bivariate normal distribution for transformed sensitivities and false-positive rates. Instead of using the logit as a transformation for these proportions, we employ the "t"[subscript alpha] family of transformations that contains the log, logit,…
Descriptors: Models, Meta Analysis, Diagnostic Tests, Comparative Analysis
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Ranger, Jochen; Ortner, Tuulia M. – Educational and Psychological Measurement, 2011
Recent studies have revealed a relation between the given response and the response latency for personality questionnaire items in the form of an inverted-U effect, which has been interpreted in light of schema-driven behavior. In general, more probable responses are given faster. In the present study, the relationship between the probability of…
Descriptors: Personality Traits, Reaction Time, Personality, Measures (Individuals)
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Dimoliatis, Ioannis D. K.; Jelastopulu, Eleni – Universal Journal of Educational Research, 2013
The surgical theatre educational environment measures STEEM, OREEM and mini-STEEM for students (student-STEEM) comprise an up to now disregarded systematic overestimation (OE) due to inaccurate percentage calculation. The aim of the present study was to investigate the magnitude of and suggest a correction for this systematic bias. After an…
Descriptors: Educational Environment, Scores, Grade Prediction, Academic Standards
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Lenhart, Clare M.; Patterson, Freda; Brown, Michael D.; O'Brien, Matthew J.; Nelson, Deborah B. – American Journal of Health Education, 2014
Background: Insufficient physical activity among urban youth increases risk of chronic disease.Purpose:This study assessed reported physical activity to determine when disparities in participation emerge and what ecologically guided factors are linked with high activity. Methods:We administered a cross-sectional survey to a diverse sample of 321…
Descriptors: Physical Activities, Physical Activity Level, Risk, Student Surveys
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Schwinger, Malte; Wirthwein, Linda; Lemmer, Gunnar; Steinmayr, Ricarda – Journal of Educational Psychology, 2014
Self-handicapping represents a frequently used strategy for regulating the threat to self-esteem elicited by the fear of failing in academic achievement settings. Several studies have documented negative associations between self-handicapping and different educational outcomes, inter alia academic achievement. However, studies on the relation…
Descriptors: Meta Analysis, Self Esteem, Failure, Academic Achievement
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