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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
Paul Seedhouse – Language Teaching, 2024
This reflective piece tells the story of how I started out doing Conversation Analysis (CA) and have been transitioning into doing mixed methods for some years now. My basic argument is that language learning talk is too complex a phenomenon to analyse using a single methodology. Specifically, it is extremely difficult to isolate from the…
Descriptors: Ethnography, Research Methodology, Language Acquisition, Language Research
Ian Greener – International Journal of Social Research Methodology, 2024
This paper argues for three aspects of tolerance with respect to QCA research: tolerance with respect to different approaches to QCA; producing QCA research with tolerance (work that is resistant to criticism); and for QCA researchers to be clear about the tolerance of the solutions they present -- especially in terms of calibration and truth…
Descriptors: Qualitative Research, Research Methodology, Comparative Analysis, Research Design
Dan Reynolds; Courtney Hattan – Reading Teacher, 2024
The role of knowledge and reading comprehension has seen a recent explosion of attention from researchers, journalists, and policy advocates. Much of this discourse describes knowledge in neutral terms such as knowledge of "the world". That knowledge of the world, however, is woven into the fabric of the gendered world we live in and its…
Descriptors: Literacy Education, Literacy, Research Methodology, Curriculum
David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…
Descriptors: Monte Carlo Methods, Predictor Variables, Research Methodology, Test Bias
Smit, Jorrit P.; Hessels, Laurens K. – Research Evaluation, 2021
Over the past two decades, several methods have been developed to evaluate the societal impact of research. Compared to the practical development of the field, the conceptual development is relatively weak. This review article contributes to the latter by elucidating the theoretical aspects of the dominant methods for evaluating societal impact of…
Descriptors: Evaluation Methods, Research, Outcome Measures, Research Methodology
Chattoe-Brown, Edmund – International Journal of Social Research Methodology, 2023
This article argues that Agent-Based Modelling, owing to its capabilities and methodology, has a distinctive contribution to make to delivering coherent social science prediction. The argument has four parts. The first identifies key elements of social science prediction induced from real research across disciplines, thus avoiding a straw person…
Descriptors: Futures (of Society), Models, Evaluation Methods, Social Science Research
Elwert, Felix; Pfeffer, Fabian T. – Sociological Methods & Research, 2022
Conventional advice discourages controlling for postoutcome variables in regression analysis. By contrast, we show that controlling for commonly available postoutcome (i.e., future) values of the treatment variable can help detect, reduce, and even remove omitted variable bias (unobserved confounding). The premise is that the same unobserved…
Descriptors: Bias, Regression (Statistics), Evaluation Methods, Research
LeBeau, Brandon; Ellison, Scott; Aloe, Ariel M. – Review of Research in Education, 2021
A reproducible analysis is one in which an independent entity, using the same data and the same statistical code, would obtain the exact same result as the previous analyst. Reproducible analyses utilize script-based analyses and open data to aid in the reproduction of the analysis. A reproducible analysis does not ensure the same results are…
Descriptors: Educational Research, Replication (Evaluation), Data Analysis, Evaluation Methods
Hochbein, Craig; Meyers, Coby – School Leadership & Management, 2021
For more than a century, numerous studies examined and reported how principals allocated their time. Assuming that differences in selection, participation and satisfaction of tasks by principals resulted in different outcomes, researchers have continued to study principal time use. In 1989, Wimpelberg, Teddlie, and Stringfield indicated a need for…
Descriptors: Principals, Time Management, Administrator Responsibility, Models
Sandra Leaton Gray; Mutlu Cukurova – Cogent Education, 2024
Debates surrounding the use of data science in educational AI are frequently rather entrenched, revolving around commercial models and talk of teacher replacement. This article explores the potential for digital textual analysis within humanities and social science education, advocating for a sociologically-driven approach that complements, rather…
Descriptors: Humanities, Social Sciences, Social Science Research, Research Methodology
Jacob M. Schauer; Kaitlyn G. Fitzgerald; Sarah Peko-Spicer; Mena C. R. Whalen; Rrita Zejnullahi; Larry V. Hedges – Grantee Submission, 2021
Several programs of research have sought to assess the replicability of scientific findings in different fields, including economics and psychology. These programs attempt to replicate several findings and use the results to say something about large-scale patterns of replicability in a field. However, little work has been done to understand the…
Descriptors: Statistical Analysis, Research Methodology, Evaluation Methods, Replication (Evaluation)
Mau, Steffen – International Studies in Sociology of Education, 2020
The process of quantification is a powerful development shaping many domains of life today. In the area of education, for example, performance measurement, testing and ranking have become common tools of governance. Quantification is not a neutral way of describing society, but a process of valorisation. It has three sociologically relevant…
Descriptors: Statistical Analysis, Social Influences, Research Methodology, Evaluation Methods
Penalva, José – European Educational Research Journal, 2019
In the context of the major influence that 'effectiveness' is having internationally, paper studies the contemporary methodological perspectives in educational research when considering teachers' practice. It shows that current trends can be boiled down to: (1) naturalistic methodology, (2) descriptive methodology, and (3) the nonmethodological…
Descriptors: Educational Practices, Research Methodology, Educational Research, Instructional Effectiveness