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Liu, Yang; Wang, Xiaojing – Journal of Educational and Behavioral Statistics, 2020
Parametric methods, such as autoregressive models or latent growth modeling, are usually inflexible to model the dependence and nonlinear effects among the changes of latent traits whenever the time gap is irregular and the recorded time points are individually varying. Often in practice, the growth trend of latent traits is subject to certain…
Descriptors: Bayesian Statistics, Nonparametric Statistics, Regression (Statistics), Item Response Theory
Sashi Sharma; Phil Doyle; Daniel Kumar; Louis Marcelo – Teaching and Learning Research Initiative, 2024
Aotearoa New Zealand is a super diverse nation in terms of the ethnicities of its people and languages spoken. With an increased rate of immigration from various parts of the world, the presence of multiple languages in many domains of social life is a reality. Consequently, classrooms are now places where learners have different linguistic and…
Descriptors: Native Language, Teaching Methods, Statistics, Statistics Education
Samantha Nousak; Leanne Barry; Susan R. Fisk – Teaching Sociology, 2024
Statistical literacy is critical for all sociology students because it facilitates academic and professional success, high-paying jobs, and informed citizenship. Most students, however, lack adequate statistical literacy to engage with sociological research. Within that general deficit, there are gender, racial, and social-class differences, with…
Descriptors: Sociology, Statistics, Literacy, Social Science Research
Edoardo Saccenti – Teaching Statistics: An International Journal for Teachers, 2024
Principal Component Analysis (PCA) is a powerful statistical technique for reducing the complexity of data and making patterns and relationships within the data more easily understandable. By using PCA, students can learn to identify the most important features of a data set, visualize relationships between variables, and make informed decisions…
Descriptors: Factor Analysis, Data Analysis, Information Literacy, Visualization
Benjamin Rohr; John Levi Martin – Sociological Methods & Research, 2024
It is common for social scientists to use formal quantitative methods to compare ecological units such as towns, schools, or nations. In many cases, the size of these units in terms of the number of individuals subsumed in each differs substantially. When the variables in question are counts, there is generally some attempt to neutralize…
Descriptors: Social Science Research, Population Distribution, Ecology, Demography
Wes Bonifay; Sonja D. Winter; Hanamori F. Skoblow; Ashley L. Watts – Grantee Submission, 2024
Replication provides a confrontation of psychological theory, not only in experimental research, but also in model-based research. Goodness-of-fit (GOF) of the original model to the replication data is routinely provided as meaningful evidence of replication. We demonstrate, however, that GOF obscures important differences between the original and…
Descriptors: Goodness of Fit, Evidence, Replication (Evaluation), Bayesian Statistics
Valerie M. Ryan; Zachary J. Kunicki; Justine N. Egan-Kunicki; Lisa L. Harlow – Teaching of Psychology, 2024
Background: Statistics courses are a necessary component of undergraduate education, but psychology majors often have negative associations with statistics. One way to promote learning within classrooms is to promote classroom connectedness, but few studies have examined classroom connectedness using a social network paradigm. Objective: The…
Descriptors: Statistics Education, Undergraduate Students, Psychology, Majors (Students)
Philip Haynes; David Alemna – International Journal of Social Research Methodology, 2024
Three quantitative methods are compared for their ability to understand different COVID-19 fatality ratios in 33 OECD countries. Linear regression provides a limited overview without sensitivity to the diversity of cases. Cluster Analysis and Dynamic Patterns Synthesis (DPS) gives scrutiny to the granularity of case similarities and differences,…
Descriptors: COVID-19, Regression (Statistics), Diversity, Multivariate Analysis
Xinxin Sun; Yongyun Shin; Jennifer Elston Lafata; Stephen W. Raudenbush – Grantee Submission, 2024
Within each of 170 physicians, patients were randomized to access e-assist, an online program that aimed to increase colorectal cancer screening (CRCS), or control. Compliance was partial: 78.34% of the experimental patients accessed e-assist while no controls were provided the access. Of interest are the average causal effect of assignment to…
Descriptors: Screening Tests, Cancer, Patients, Compliance (Psychology)
Steffen Zitzmann; Lisa Bardach; Kai T. Horstmann; Matthias Ziegler; Martin Hecht – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We investigated three different approaches for quantifying individual change and reporting it back to persons: (a) the common change score, which is obtained by first computing scale scores from two consecutive measurements and then subtract these scores from one another, (b) the ad-hoc approach, which is similar to the former approach but uses…
Descriptors: Personality Change, Personality Measures, Regression (Statistics), Evaluation Methods
Naoto Yamashita – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Matrix decomposition structural equation modeling (MDSEM) is introduced as a novel approach in structural equation modeling, contrasting with traditional structural equation modeling (SEM). MDSEM approximates the data matrix using a model generated by the hypothetical model and addresses limitations faced by conventional SEM procedures by…
Descriptors: Structural Equation Models, Factor Structure, Robustness (Statistics), Matrices
Sherwin E. Balbuena – Online Submission, 2024
This study introduces a new chi-square test statistic for testing the equality of response frequencies among distracters in multiple-choice tests. The formula uses the information from the number of correct answers and wrong answers, which becomes the basis of calculating the expected values of response frequencies per distracter. The method was…
Descriptors: Multiple Choice Tests, Statistics, Test Validity, Testing
Maxi Schulz; Malte Kramer; Oliver Kuss; Tim Mathes – Research Synthesis Methods, 2024
In sparse data meta-analyses (with few trials or zero events), conventional methods may distort results. Although better-performing one-stage methods have become available in recent years, their implementation remains limited in practice. This study examines the impact of using conventional methods compared to one-stage models by re-analysing…
Descriptors: Meta Analysis, Data Analysis, Research Methodology, Research Problems
Zheng Zheng; Jun Wang – npj Science of Learning, 2024
While statistical learning is often studied individually, its collective representation through self-other integration remains unclear. This study examines dynamic self-other integration and its multi-brain mechanism using simultaneous recordings from dyads. Participants (N = 112) each repeatedly responded to half of a fixed stimulus sequence with…
Descriptors: Statistics Education, Cooperative Learning, Observational Learning, Learning Processes
Peter J. Woods; Camillia Matuk; Kayla DesPortes; Ralph Vacca; Marian Tes; Veena Vasudevan; Anna Amato – Critical Studies in Education, 2024
As visual cultures scholars have argued, visual expression and aesthetic artifacts largely comprise the modern world. This includes the production of the school as an institution. A critical approach to education therefore must reinscribe students with the ability to see what educational processes attempt to hide and to construct an understanding…
Descriptors: Data Science, Statistics Education, Visualization, Aesthetics

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