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Peer reviewed
Direct linkBrydges, Christopher R.; Gaeta, Laura – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Evidence-based data analysis methods are important in clinical research fields, including speech-language pathology and audiology. Although commonly used, null hypothesis significance testing (NHST) has several limitations with regard to the conclusions that can be drawn from results, particularly nonsignificant findings. Bayes factors…
Descriptors: Bayesian Statistics, Statistical Analysis, Speech Language Pathology, Audiology
Sinharay, Sandip; Zhang, Mo; Deane, Paul – Applied Measurement in Education, 2019
Analysis of keystroke logging data is of increasing interest, as evident from a substantial amount of recent research on the topic. Some of the research on keystroke logging data has focused on the prediction of essay scores from keystroke logging features, but linear regression is the only prediction method that has been used in this research.…
Descriptors: Scores, Prediction, Writing Processes, Data Analysis
Norouzian, Reza; de Miranda, Michael; Plonsky, Luke – Modern Language Journal, 2019
Null hypothesis testing has long since been the 'go-to analytic approach' in quantitative second language (L2) research (Norris, 2015, p. 97). To many, however, years of reliance on this approach has resulted in a crisis of inference across the social and behavioral sciences (e.g., Rouder et al., 2016). As an alternative to the null hypothesis…
Descriptors: Bayesian Statistics, Second Language Learning, Second Language Instruction, Hypothesis Testing
Fan, Luo; Mahmood, Monowar; Uddin, Md. Aftab – Asia Pacific Education Review, 2019
This study investigates the impact of supervisor support on research innovation pursuit among international doctoral students in China. A total of 120 international doctoral students' responses were employed through random sampling from the three business schools of Chinese public universities. The data were analyzed using the partial least…
Descriptors: Foreign Students, Social Exchange Theory, Supervisors, Doctoral Students
Colindres, Carlos A. Mejía; Peters, Stephanie – Mathematics Teacher, 2019
According to the conceptual framework for K-grade 12 statistics education introduced in the 2007 Guidelines for Assessment and Instruction in Statistics Education (GAISE) report, students can be located at one of three developmental levels of statistical literacy: A, B, or C. These levels are independent of age and grade level, so, in theory,…
Descriptors: Mathematics Instruction, Probability, Mathematics Teachers, Grade 8
Ebert, Philip A. – Journal of Adventure Education and Outdoor Learning, 2019
In this article, I explore a Bayesian approach to avalanche decision-making. I motivate this perspective by highlighting a version of the base-rate fallacy and show that a similar pattern applies to decision-making in avalanche-terrain. I then draw out three theoretical lessons from adopting a Bayesian approach and discuss these lessons…
Descriptors: Bayesian Statistics, Decision Making, Outdoor Education, Natural Disasters
Download full textAstivia, Oscar L. Olvera; Zumbo, Bruno D. – Practical Assessment, Research & Evaluation, 2019
Within psychology and the social sciences, Ordinary Least Squares (OLS) regression is one of the most popular techniques for data analysis. In order to ensure the inferences from the use of this method are appropriate, several assumptions must be satisfied, including the one of constant error variance (i.e. homoskedasticity). Most of the training…
Descriptors: Multiple Regression Analysis, Least Squares Statistics, Statistical Analysis, Error of Measurement
Tingir, Seyfullah – ProQuest LLC, 2019
Educators use various statistical techniques to explain relationships between latent and observable variables. One way to model these relationships is to use Bayesian networks as a scoring model. However, adjusting the conditional probability tables (CPT-parameters) to fit a set of observations is still a challenge when using Bayesian networks. A…
Descriptors: Bayesian Statistics, Statistical Analysis, Scoring, Probability
Wang, Chun; Chen, Ping; Jiang, Shengyu – Grantee Submission, 2019
Many large-scale educational surveys have moved from linear form design to multistage testing (MST) design. One advantage of MST is that it can provide more accurate latent trait [theta] estimates using fewer items than required by linear tests. However, MST generates incomplete response data by design; hence questions remain as to how to…
Descriptors: Adaptive Testing, Test Items, Item Response Theory, Maximum Likelihood Statistics
Betty Mayfield; Ann Stewart – Numeracy, 2019
In a previous article, we described our college's new core curriculum, which included a Quantitative Literacy (QL) component for the first time. We explained how we defined QL in the college catalog, and how we used that definition to choose courses to satisfy the new requirement. We then discussed our early efforts at assessing the effectiveness…
Descriptors: Numeracy, Statistics Education, College Faculty, Teacher Collaboration
Pull, Kerstin; Pferdmenges, Birgit; Backes-Gellner, Uschi – Studies in Higher Education, 2016
This paper explores the link between the composition and the performance of junior research groups. The authors argue that the heterogeneity-performance link depends on the type of heterogeneity (cultural vs. study field) and on the disciplinary area. The authors test their hypotheses on a data set of 45 junior research groups and find a U-shaped…
Descriptors: Natural Sciences, Group Dynamics, Foreign Countries, Least Squares Statistics
Finch, Holmes; Edwards, Julianne M. – Educational and Psychological Measurement, 2016
Standard approaches for estimating item response theory (IRT) model parameters generally work under the assumption that the latent trait being measured by a set of items follows the normal distribution. Estimation of IRT parameters in the presence of nonnormal latent traits has been shown to generate biased person and item parameter estimates. A…
Descriptors: Item Response Theory, Computation, Nonparametric Statistics, Bayesian Statistics
Esquibel, Joseph; Rook, Deborah L.; LoRe, Sondra M.; Starnes, John H.; Miller, Jillian M.; Buntz, Jennifer G.; Hugo, Alys; Nieuwsma, Christianne B.; Seitz, Heather; Bissell, Ahrash; Gross, Louis; Kiser, Stacey; Lenhart, Suzanne; Mills, Michael A.; Neuhauser, Claudia; Corriette, Irene; Prescott, Sarah; Jenkins, Kristin P.; Karpakakunjaram, Vedham – CBE - Life Sciences Education, 2023
Mastery of quantitative skills is increasingly critical for student success in life sciences, but few curricula adequately incorporate quantitative skills. Quantitative Biology at Community Colleges (QB@CC) is designed to address this need by building a grassroots consortium of community college faculty to (1) engage in interdisciplinary…
Descriptors: Biology, Science Instruction, College Science, Community Colleges
Chen, Xieling; Zou, Di; Cheng, Gary; Xie, Haoran; Su, Fan – Australasian Journal of Educational Technology, 2023
Despite accumulated evidence demonstrating the effectiveness of flipped language classrooms in higher education, there is no quantitative examination of the extant empirical studies to draw a general conclusion. Based on Bayesian methodologies and 26 effect sizes, this study quantitatively examines empirical studies that investigated flipped…
Descriptors: Flipped Classroom, Teaching Methods, Second Language Learning, Second Language Instruction
Matthew Finster; Jill Feldman – Journal of College Student Retention: Research, Theory & Practice, 2023
Due to the low success of traditional, postsecondary remediation mathematics, The Maryland Mathematics Reform Initiative First in the World Grant (MMRI-FITW) sought to develop and implement a statistics pathway in 2- and 4-year institutions as an alternative to traditional algebra-based math, to accelerate developmental mathematics students'…
Descriptors: Cost Effectiveness, Mathematics Instruction, Statistics Education, Remedial Instruction
