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Sales, Adam C.; Hansen, Ben B. – Journal of Educational and Behavioral Statistics, 2020
Conventionally, regression discontinuity analysis contrasts a univariate regression's limits as its independent variable, "R," approaches a cut point, "c," from either side. Alternative methods target the average treatment effect in a small region around "c," at the cost of an assumption that treatment assignment,…
Descriptors: Regression (Statistics), Computation, Statistical Inference, Robustness (Statistics)
Marzano, Robert J.; Parsley, Danette; Gagnon, Douglas J.; Norford, Jennifer S. – Marzano Research, 2020
Teachers engaging in research has been discussed and carried out under the heuristics and methodologies of action research (Manfra, 2019; Pine, 2009). A typical action research project might involve an individual teacher studying the effectiveness of a specific instructional strategy like having students preview content before receiving direct…
Descriptors: Teacher Researchers, Teaching Methods, Intervention, Generalization
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White, David – PRIMUS, 2019
In an increasingly data-driven world, facility with statistics is more important than ever for our students. At institutions without a statistician, it often falls to the mathematics faculty to teach statistics courses. This paper presents a model that a mathematician asked to teach statistics can follow. This model entails connecting with faculty…
Descriptors: Mathematics Instruction, College Mathematics, Student Projects, Teaching Methods
Oranje, Andreas; Kolstad, Andrew – Journal of Educational and Behavioral Statistics, 2019
The design and psychometric methodology of the National Assessment of Educational Progress (NAEP) is constantly evolving to meet the changing interests and demands stemming from a rapidly shifting educational landscape. NAEP has been built on strong research foundations that include conducting extensive evaluations and comparisons before new…
Descriptors: National Competency Tests, Psychometrics, Statistical Analysis, Computation
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Martin, Jack – Philosophical Inquiry in Education, 2019
This paper offers a defense of Robin Barrow's main arguments in "Giving Teaching Back to Teachers", including additional material concerning the inability of the aggregate data and statistical methods employed in research in education (and research on teaching) to speak to individual teachers and students or to particular classrooms.…
Descriptors: Educational Philosophy, Teaching Methods, Educational Research, Social Sciences
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Qiu, Yuxi; Huggins-Manley, Anne Corinne – Educational and Psychological Measurement, 2019
This study aimed to assess the accuracy of the empirical item characteristic curve (EICC) preequating method given the presence of test speededness. The simulation design of this study considered the proportion of speededness, speededness point, speededness rate, proportion of missing on speeded items, sample size, and test length. After crossing…
Descriptors: Accuracy, Equated Scores, Test Items, Nonparametric Statistics
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Margulieux, Lauren; Ketenci, Tuba Ayer; Decker, Adrienne – Computer Science Education, 2019
Background and context: The variables that researchers measure and how they measure them are central in any area of research, including computing education. Which research questions can be asked and how they are answered depends on measurement. Objective: To summarize the commonly used variables and measurements in computing education and to…
Descriptors: Measurement Techniques, Standards, Evaluation Methods, Computer Science Education
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Aiken, John M.; Henderson, Rachel; Caballero, Marcos D. – Physical Review Physics Education Research, 2019
Physics education research (PER) has used quantitative modeling techniques to explore learning, affect, and other aspects of physics education. However, these studies have rarely examined the predictive output of the models, instead focusing on the inferences or causal relationships observed in various data sets. This research introduces a modern…
Descriptors: Physics, Bachelors Degrees, College Science, Student Records
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Barry, Adam E.; Valdez, Danny; Goodson, Patricia; Szucs, Leigh; Reyes, Jovanni V. – Journal of American College Health, 2019
Understanding the unique health needs of college students and establishing best practices to address them depend, heavily, on the inherent quality and contribution of the research identifying these needs. College health-focused publications currently exemplify less than ideal statistical reporting practices. Specifically, college health…
Descriptors: Health Needs, College Students, Best Practices, Drinking
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Tumbleson, Beth; Burke, John; Long, Jessica – Journal of Library & Information Services in Distance Learning, 2019
Librarians are committed to supporting teaching, learning, and research. They are equally committed to supporting student success and retention. Demonstrating the impact that learning management system (LMS) embedded librarians make on student learning has been difficult to correlate, however. Studies that assess this connection, using qualitative…
Descriptors: Librarians, Academic Libraries, Integrated Learning Systems, Information Literacy
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Ilhan, Mustafa – International Journal of Assessment Tools in Education, 2019
This study investigated the effectiveness of statistical adjustments applied to rater bias in many-facet Rasch analysis. Some changes were first made in the dataset that did not include "rater × examinee" bias to cause to have "rater × examinee" bias. Later, bias adjustment was applied to rater bias included in the data file,…
Descriptors: Statistical Analysis, Item Response Theory, Evaluators, Bias
Van de Vijver, Fons J. R.; Avvisati, Francesco; Davidov, Eldad; Eid, Michael; Fox, Jean-Paul; Le Donné, Noémie; Lek, Kimberley; Meuleman, Bart; Paccagnella, Marco; van de Schoot, Rens – OECD Publishing, 2019
Large-scale surveys such as the Programme for International Student Assessment (PISA), the Teaching and Learning International Survey (TALIS), and the Programme for the International Assessment of Adult Competences (PIAAC) use advanced statistical models to estimate scores of latent traits from multiple observed responses. The comparison of such…
Descriptors: Surveys, Factor Analysis, Bayesian Statistics, Statistical Analysis
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Kenneth R. Jones; Eugenia P. Gwynn; Allison M. Teeter – Journal of Human Sciences & Extension, 2019
This article provides insight into how an adequate approach to selecting methods can establish credible and actionable evidence. The authors offer strategies to effectively support Extension professionals, including program developers and evaluators, in being more deliberate when selecting appropriate qualitative and quantitative methods. In…
Descriptors: Evaluation Methods, Credibility, Evidence, Evaluation Criteria
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Mojarad, Shirin; Baker, Ryan S.; Essa, Alfred; Stalzer, Steve – Journal of Interactive Learning Research, 2021
Despite the importance of replication, it remains rare in the interactive learning research community. In this paper, we attempt to replicate recent quasi-experimental results suggesting that the ALEKS intelligent tutoring system is effective at improving student course outcomes in higher education (Mojarad et al., 2018). In this paper, we conduct…
Descriptors: Intelligent Tutoring Systems, Replication (Evaluation), Probability, Quasiexperimental Design
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Widén, Gunilla; Ahmad, Farhan; Nikou, Shahrokh; Ryan, Bruce; Cruickshank, Peter – Journal of Information Literacy, 2021
This paper focuses information literacy (IL) from a methodological perspective, addressing quantitative IL measures, suitable for evaluating the role of IL in supporting work activities. So far, IL in workplace contexts has mostly been studied using qualitative methods, designed for studying situational and context-dependent practices. Therefore…
Descriptors: Information Literacy, Workplace Learning, Test Construction, Evaluation Methods
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