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Stout, David E. – Accounting Education, 2015
This paper describes a classroom-tested instructional resource, grounded in principles of active learning and a constructivism, that embraces two primary objectives: "demystify" for accounting students technical material from statistics regarding ordinary least-squares (OLS) regression analysis--material that students may find obscure or…
Descriptors: Accounting, Teaching Methods, Active Learning, Constructivism (Learning)
Williams, Lela Rankin; Marsiglia, Flavio F.; Baldwin, Adrienne; Ayers, Stephanie – Research on Social Work Practice, 2015
Objective: To assess the impact of a parenting intervention, "Familias: Preparando la Nueva Generación" (FPNG), intended to support children, on parents heavy drinking. We hypothesized that parent participants of FPNG would reduce their heavy drinking at 1-year follow-up. Methods: Parents (N = 281) of middle school children from a large,…
Descriptors: Youth, Intervention, Mexican Americans, Drinking
Abbasian, Reza O.; Czuchry, Mike – PRIMUS, 2021
In this paper, we will introduce partial results from our 3-year NSF funded grant titled "Inverted and Active Learning Pedagogies (IALP) for Student Success." We will present our results comparing student achievement between inverted (flipped) classrooms and traditional lecture formats in statistics classes at Texas Lutheran University.…
Descriptors: Teaching Methods, Active Learning, Introductory Courses, Statistics Education
van Halema, Nicolette; van Klaveren, Chris; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja – Frontline Learning Research, 2020
For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…
Descriptors: Independent Study, Learning Motivation, Learning Strategies, Student Behavior
Awuah, Rebecca; Gallagher, Kristel M.; Dierker, Lisa C. – Statistics Education Research Journal, 2020
To evaluate the impact of a multidisciplinary, project-based course in introductory statistics, this exploratory study examined learning experiences, feelings of confidence, and interest in future experiences with data for undergraduate students in Ghana, West Africa. Students completed a one-semester, introductory statistics course utilizing the…
Descriptors: Active Learning, Student Projects, Statistics Education, Introductory Courses
Skuratowicz, Eva; Ota St. Clair, Serena; Pritzlaff, Rikki; Anderson, Cassandra; Menefee, Michael; Miller-Loessi, Karen – Community College Journal of Research and Practice, 2020
This paper compares the effectiveness of contextualized developmental intermediate algebra to the more traditional developmental intermediate algebra approach, for students at two community college campuses located in two counties in the Pacific Northwest. We assessed four student outcome measures of effectiveness: likelihood of passing algebra,…
Descriptors: Comparative Analysis, Algebra, Remedial Instruction, Community Colleges
Hassan, Mahamood M.; Schwartz, Bill N. – American Journal of Business Education, 2014
This paper discusses a student research project that is part of an advanced cost accounting class. The project emphasizes active learning, integrates cost accounting with macroeconomics and statistics by "learning by doing" using real world data. Students analyze sales data for a publicly listed company by focusing on the company's…
Descriptors: Student Research, Research Projects, Accounting, Advanced Courses
Carter, Nancy; Felton, Nathan; Schwertman, Neil – Journal of Statistics Education, 2014
Engaging students in active learning can enhance their understanding and appreciation of a subject such as statistics. Classroom activities and projects help to engage students and further promote the learning process. In this paper, an activity investigating the influence of population size and wealth on the medal counts from the 2012 London…
Descriptors: Class Activities, Demography, Athletics, Awards
He, Qingping; Tymms, Peter – Educational Research and Evaluation, 2014
The assessment of the achievement of students and the quality of schools has drawn increasing attention from educational researchers, policy makers, and practitioners. Various test-based accountability and feedback systems involving the use of value-added techniques have been developed for evaluating the effectiveness of individual teaching…
Descriptors: Educational Assessment, Academic Achievement, Accountability, Regression (Statistics)
Lang, Charles – Journal of Learning Analytics, 2014
This article proposes a coherent framework for the use of Inverse Bayesian estimation to summarize and make predictions about student behaviour in adaptive educational settings. The Inverse Bayes Filter utilizes Bayes theorem to estimate the relative impact of contextual factors and internal student factors on student performance using time series…
Descriptors: Bayesian Statistics, Academic Achievement, Prediction, Student Behavior
Herzog, Serge – New Directions for Institutional Research, 2014
Estimating the effect of campus math tutoring support, this study demonstrates the use of propensity score weighted and matched-data analysis and examines the correspondence with results from parametric regression analysis.
Descriptors: Probability, College Mathematics, Tutoring, Data Analysis
Bates, Michael David; Castellano, Katherine E.; Rabe-Hesketh, Sophia; Skrondal, Anders – Journal of Educational and Behavioral Statistics, 2014
This article discusses estimation of multilevel/hierarchical linear models that include cluster-level random intercepts and random slopes. Viewing the models as structural, the random intercepts and slopes represent the effects of omitted cluster-level covariates that may be correlated with included covariates. The resulting correlations between…
Descriptors: Correlation, Hierarchical Linear Modeling, Regression (Statistics), Statistical Bias
Smith, William C. – Practical Assessment, Research & Evaluation, 2014
The ability of regression discontinuity (RD) designs to provide an unbiased treatment effect while overcoming the ethical concerns plagued by Random Control Trials (RCTs) make it a valuable and useful approach in education evaluation. RD is the only explicitly recognized quasi-experimental approach identified by the Institute of Education…
Descriptors: Computation, Regression (Statistics), Statistical Bias, Quasiexperimental Design
Hedges, Larry V.; Borenstein, Michael – Journal of Educational and Behavioral Statistics, 2014
The precision of estimates of treatment effects in multilevel experiments depends on the sample sizes chosen at each level. It is often desirable to choose sample sizes at each level to obtain the smallest variance for a fixed total cost, that is, to obtain optimal sample allocation. This article extends previous results on optimal allocation to…
Descriptors: Experiments, Research Design, Sample Size, Correlation
López Puga, Jorge – Teaching Statistics: An International Journal for Teachers, 2014
The aprioristic (classical, naïve and symmetric) and frequentist interpretations of probability are commonly known. Bayesian or subjective interpretation of probability is receiving increasing attention. This paper describes an activity to help students differentiate between the three types of probability interpretations.
Descriptors: Probability, Bayesian Statistics, Data Interpretation, Instructional Materials

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