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Daniel B. Wright – Open Education Studies, 2024
Pearson's correlation is widely used to test for an association between two variables and also forms the basis of several multivariate statistical procedures including many latent variable models. Spearman's [rho] is a popular alternative. These procedures are compared with ranking the data and then applying the inverse normal transformation, or…
Descriptors: Models, Simulation, Statistical Analysis, Correlation
Sotoudeh, Ramina; DiMaggio, Paul – Sociological Methods & Research, 2023
Sociologists increasingly face choices among competing algorithms that represent reasonable approaches to the same task, with little guidance in choosing among them. We develop a strategy that uses simulated data to identify the conditions under which different methods perform well and applies what is learned from the simulations to predict which…
Descriptors: Algorithms, Simulation, Prediction, Correlation
Pere J. Ferrando; Ana Hernández-Dorado; Urbano Lorenzo-Seva – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) model. In this article, we propose an EFA approach in which both the common factor solution and the residual matrix are unrestricted (i.e., the correlated residuals…
Descriptors: Correlation, Factor Analysis, Models, Goodness of Fit
van Aert, Robbie C. M. – Research Synthesis Methods, 2023
The partial correlation coefficient (PCC) is used to quantify the linear relationship between two variables while taking into account/controlling for other variables. Researchers frequently synthesize PCCs in a meta-analysis, but two of the assumptions of the common equal-effect and random-effects meta-analysis model are by definition violated.…
Descriptors: Correlation, Meta Analysis, Sampling, Simulation
Sijia Huang; Dubravka Svetina Valdivia – Educational and Psychological Measurement, 2024
Identifying items with differential item functioning (DIF) in an assessment is a crucial step for achieving equitable measurement. One critical issue that has not been fully addressed with existing studies is how DIF items can be detected when data are multilevel. In the present study, we introduced a Lord's Wald X[superscript 2] test-based…
Descriptors: Item Analysis, Item Response Theory, Algorithms, Accuracy
Godwin-Jones, Robert – Language Learning & Technology, 2023
Looking at human communication from the perspective of semiotics extends our view beyond verbal language to consider other sign systems and meaning-making resources. Those include gestures, body language, images, and sounds. From this perspective, the communicative process expands from individual mental processes of verbalizing to include features…
Descriptors: Second Language Learning, Second Language Instruction, Semiotics, Nonverbal Communication
Tan, Da Yang – Online Submission, 2021
Applying physical principles is important for designs of various products with tailored performances. However, one of the long-standing issues of the students' design projects (or school's interdisciplinary projects) is the post-hoc imposition of the knowledge learned in their content subjects. This post-hoc imposition significantly diminishes the…
Descriptors: Physics, Science Instruction, Teaching Methods, Design
Gorard, Stephen – International Journal of Research & Method in Education, 2015
This paper revisits the use of effect sizes in the analysis of experimental and similar results, and reminds readers of the relative advantages of the mean absolute deviation as a measure of variation, as opposed to the more complex standard deviation. The mean absolute deviation is easier to use and understand, and more tolerant of extreme…
Descriptors: Effect Size, Computation, Comparative Analysis, Simulation
Smolen, Paul; Baxter, Douglas A.; Byrne, John H. – Learning & Memory, 2016
With memory encoding reliant on persistent changes in the properties of synapses, a key question is how can memories be maintained from days to months or a lifetime given molecular turnover? It is likely that positive feedback loops are necessary to persistently maintain the strength of synapses that participate in encoding. Such feedback may…
Descriptors: Long Term Memory, Models, Molecular Structure, Feedback (Response)
Iscaro, Valentina; Castaldi, Laura; Sepe, Enrica – Industry and Higher Education, 2017
With a view to enhancing the entrepreneurial activity of universities, the authors explore the concepts and features of the "experimental lab", presenting it as an effective means of supporting entrepreneurial training programmes and helping students to turn ideas into actual start-ups. In this context, the term experimental lab refers…
Descriptors: Laboratory Experiments, Entrepreneurship, Training, Simulation
Nosofsky, Robert M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
In a highly systematic literature, researchers have investigated the manner in which people make feature inferences in paradigms involving uncertain categorizations (e.g., Griffiths, Hayes, & Newell, 2012; Murphy & Ross, 1994, 2007, 2010a). Although researchers have discussed the implications of the results for models of categorization and…
Descriptors: Models, Classification, Inferences, Cognitive Psychology
Helm, Francesca – International Journal of Bilingual Education and Bilingualism, 2020
Technologies are seen to have made a strong contribution to the global spread of the English, yet their role in relation to EMI contexts has been little explored. This paper seeks to address this gap by looking at some of the ways in which EMI, internationalisation and the use of technologies are intertwined. Two specific approaches to the use of…
Descriptors: English (Second Language), Second Language Learning, Language of Instruction, International Education
Koopmans, Matthijs – Complicity: An International Journal of Complexity and Education, 2015
The detection of complexity in behavioral outcomes often requires an estimation of their variability over a prolonged time spectrum to assess processes of stability and transformation. Conventional scholarship typically relies on time-independent measures, "snapshots", to analyze those outcomes, assuming that group means and their…
Descriptors: Time, Correlation, Observation, Attendance
Attali, Yigal; Saldivia, Luis; Jackson, Carol; Schuppan, Fred; Wanamaker, Wilbur – ETS Research Report Series, 2014
Previous investigations of the ability of content experts and test developers to estimate item difficulty have, for themost part, produced disappointing results. These investigations were based on a noncomparative method of independently rating the difficulty of items. In this article, we argue that, by eliciting comparative judgments of…
Descriptors: Test Items, Difficulty Level, Comparative Analysis, College Entrance Examinations
Shemwell, Jonathan T.; Chase, Catherine C.; Schwartz, Daniel L. – Journal of Research in Science Teaching, 2015
Evaluating the relation between evidence and theory should be a central activity for science learners. Evaluation comprises both hypothetico-deductive analysis, where theory precedes evidence, and inductive synthesis, where theory emerges from evidence. There is mounting evidence that induction is an especially good way to help learners grasp the…
Descriptors: Thinking Skills, Correlation, Science Instruction, College Students