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Tenko Raykov; Christine DiStefano; Natalja Menold – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This article is concerned with the assumption of linear temporal development that is often advanced in structural equation modeling-based longitudinal research. The linearity hypothesis is implemented in particular in the popular intercept-and-slope model as well as in more general models containing it as a component, such as longitudinal…
Descriptors: Structural Equation Models, Hypothesis Testing, Longitudinal Studies, Research Methodology
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Mirka Koro; Anani Vasquez; Timothy Wells; Mariia Vitrukh; Jorge Sandoval – International Journal of Social Research Methodology, 2024
Times of (post) health crisis, global unrest, and political turmoil, a reliance on conventional methods, which potentially lack radical imagination and future orientation, experimentation, and open-endedness, might not be enough. Furthermore, within the discourses of conventional qualitative inquiry, methodological subjects are often seen as…
Descriptors: Research Methodology, Models, Imagination, Vignettes
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Angela Feekery – Educational Action Research, 2024
A key aspect of engaging in a large participatory action research (PAR) project is ensuring that novice participant-researchers have a general understanding of the PAR methodology. Lead researchers experienced in action research cannot expect novice participant-researchers to engage fully with the literature on PAR, but rather need a simple way to…
Descriptors: Action Research, Novices, Researchers, Research Methodology
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Heungsun Hwang; Gyeongcheol Cho; Hosung Choo – Structural Equation Modeling: A Multidisciplinary Journal, 2024
GSCA Pro is free, user-friendly software for generalized structured component analysis structural equation modeling (GSCA-SEM), which implements three statistical methods for estimating models with factors only, models with components only, and models with both factors and components. This tutorial aims to provide step-by-step illustrations of how…
Descriptors: Research Tools, Structural Equation Models, Computer Software, Research Methodology
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Kamila Lewandowska; Mikolaj Bojnarowicz – British Educational Research Journal, 2025
Practice-based research (PBR) has emerged as a valuable alternative to traditional scientific methods by generating knowledge through practice and enhancing the relevance of research to practitioners. However, knowledge about PBR has largely been developed within disciplinary silos, leading to its limited cross-disciplinary understanding. This…
Descriptors: Educational Research, Theater Arts, Research Methodology, Educational Practices
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Servet Demir; Muhammet Usak – SAGE Open, 2025
This systematic review examines the application of Partial Least Squares Structural Equation Modeling (PLS-SEM) in educational technology research from 2013 to 2023. Following PRISMA guidelines, 57 studies were selected from Scopus and Web of Science databases. The review process involved rigorous screening, data extraction, and analysis using…
Descriptors: Educational Technology, Educational Research, Structural Equation Models, Least Squares Statistics
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Hilley, Chanler D.; O'Rourke, Holly P. – International Journal of Behavioral Development, 2022
Researchers in behavioral sciences are often interested in longitudinal behavior change outcomes and the mechanisms that influence changes in these outcomes over time. The statistical models that are typically implemented to address these research questions do not allow for investigation of mechanisms of dynamic change over time. However, latent…
Descriptors: Behavioral Science Research, Research Methodology, Longitudinal Studies, Behavior Change
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Edmonds, Bruce – International Journal of Social Research Methodology, 2023
This paper looks at the tension between the desire to claim predictive ability for Agent-Based Models (ABMs) and its extreme difficulty for social and ecological systems, suggesting that this is the main cause for the continuance of a rhetoric of prediction that is at odds with what is achievable. Following others, it recommends that it is better…
Descriptors: Models, Prediction, Evaluation Methods, Standards
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Tugay Kaçak; Abdullah Faruk Kiliç – International Journal of Assessment Tools in Education, 2025
Researchers continue to choose PCA in scale development and adaptation studies because it is the default setting and overestimates measurement quality. When PCA is utilized in investigations, the explained variance and factor loadings can be exaggerated. PCA, in contrast to the models given in the literature, should be investigated in…
Descriptors: Factor Analysis, Monte Carlo Methods, Mathematical Models, Sample Size
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Elliot, Andrew J.; Sommet, Nicolas – Educational Psychology Review, 2023
Integration is a valuable yet underutilized process in scientific literatures, including the achievement motivation literature. In this piece, we advocate for and illustrate the benefits of giving integration a central place within the achievement motivation literature. We pay particular attention to the hierarchical model of achievement…
Descriptors: Academic Achievement, Student Motivation, Models, Research Methodology
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Fernando Rios-Avila; Michelle Lee Maroto – Sociological Methods & Research, 2024
Quantile regression (QR) provides an alternative to linear regression (LR) that allows for the estimation of relationships across the distribution of an outcome. However, as highlighted in recent research on the motherhood penalty across the wage distribution, different procedures for conditional and unconditional quantile regression (CQR, UQR)…
Descriptors: Regression (Statistics), Research Methodology, Alternative Assessment, Models
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Jianping Shen; Huang Wu – Educational Administration Quarterly, 2025
Principal leadership has been widely regarded as a powerful catalyst for school improvement and student learning. This article presents a multivariate meta-analysis of 42 empirical studies, published between 2000 and 2020, that examined the effects of principal leadership on student achievement in the United States. The focus is on the conceptual…
Descriptors: Principals, Leadership Styles, Academic Achievement, Correlation
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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
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Anna-Carolina Haensch; Jonathan Bartlett; Bernd Weiß – Sociological Methods & Research, 2024
Discrete-time survival analysis (DTSA) models are a popular way of modeling events in the social sciences. However, the analysis of discrete-time survival data is challenged by missing data in one or more covariates. Negative consequences of missing covariate data include efficiency losses and possible bias. A popular approach to circumventing…
Descriptors: Research Methodology, Research Problems, Social Science Research, Statistical Analysis
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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
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