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Rutten, Roel – Sociological Methods & Research, 2023
Uncertainty undermines causal claims; however, the nature of causal claims decides what counts as relevant uncertainty. Empirical robustness is imperative in regularity theories of causality. Regularity theory features strongly in QCA, making its case sensitivity a weakness. Following qualitative comparative analysis (QCA) founder Charles Ragin's…
Descriptors: Qualitative Research, Comparative Analysis, Causal Models, Ethics
Alrik Thiem; Lusine Mkrtchyan – Field Methods, 2024
Qualitative comparative analysis (QCA) is an empirical research method that has gained some popularity in the social sciences. At the same time, the literature has long been convinced that QCA is prone to committing causal fallacies when confronted with non-causal data. More specifically, beyond a certain case-to-factor ratio, the method is…
Descriptors: Qualitative Research, Comparative Analysis, Research Methodology, Benchmarking
Cody Ding – Educational Psychology Review, 2024
In the article "It's Just an Observation," Robinson and Wainer (Educational Psychology Review 35, Robinson, D., & Wainer, H. (2023). It's just an observation. Educational Psychology Review, 35(83), Published online: 14 August, 2023) lamented that educational psychology is moving toward the dark side of the quality continuum, with…
Descriptors: Journal Articles, Educational Psychology, Quality Assurance, Barriers
Raykov, Tenko – Measurement: Interdisciplinary Research and Perspectives, 2023
This software review discusses the capabilities of Stata to conduct item response theory modeling. The commands needed for fitting the popular one-, two-, and three-parameter logistic models are initially discussed. The procedure for testing the discrimination parameter equality in the one-parameter model is then outlined. The commands for fitting…
Descriptors: Item Response Theory, Models, Comparative Analysis, Item Analysis
Baumgartner, Michael; Thiem, Alrik – Sociological Methods & Research, 2020
To date, hundreds of researchers have employed the method of Qualitative Comparative Analysis (QCA) for the purpose of causal inference. In a recent series of simulation studies, however, several authors have questioned the correctness of QCA in this connection. Some prominent representatives of the method have replied in turn that simulations…
Descriptors: Qualitative Research, Comparative Analysis, Inferences, Evaluation Criteria
Thomann, Eva; Maggetti, Martino – Sociological Methods & Research, 2020
Recent years have witnessed a host of innovations for conducting research with qualitative comparative analysis (QCA). Concurrently, important issues surrounding its uses have been highlighted. In this article, we seek to help users design QCA studies. We argue that establishing inference with QCA involves three intertwined design components:…
Descriptors: Qualitative Research, Comparative Analysis, Research Design, Validity
Li, Tenglong; Frank, Ken – Sociological Methods & Research, 2022
The internal validity of observational study is often subject to debate. In this study, we define the counterfactuals as the unobserved sample and intend to quantify its relationship with the null hypothesis statistical testing (NHST). We propose the probability of a robust inference for internal validity, that is, the PIV, as a robustness index…
Descriptors: Probability, Inferences, Validity, Correlation
Grant, Barry – Roeper Review, 2021
A recent study claiming to provide a basis for gifted education to drop the construct of overexcitabilities in favor of the construct of openness to experience and align itself with the Five Factor Model and a talent development perspective on gifted education is shown to be without merit. An analysis shows that the study supports the conclusion…
Descriptors: Criticism, Talent Development, Gifted Education, Teaching Methods
Monroe, Scott – Journal of Educational and Behavioral Statistics, 2019
In item response theory (IRT) modeling, the Fisher information matrix is used for numerous inferential procedures such as estimating parameter standard errors, constructing test statistics, and facilitating test scoring. In principal, these procedures may be carried out using either the expected information or the observed information. However, in…
Descriptors: Item Response Theory, Error of Measurement, Scoring, Inferences
Schneider, Carsten Q.; Wagemann, Claudius – Field Methods, 2016
We appreciate Barry Cooper and Judith Glaesser's (henceforth CG) energy and effort put into reflecting on parts of our proposals laid out in "Set-theoretic Methods for the Social Sciences" (2012). We use our response to explain what enhanced standard analysis (ESA) is meant to achieve and what not, an issue about which CG hold erroneous…
Descriptors: Qualitative Research, Comparative Analysis, Research Problems, Ambiguity (Context)
Mack, Michael R.; Hensen, Cory; Barbera, Jack – Journal of Chemical Education, 2019
Quasi-experiments are common in studies that estimate the effect of instructional interventions on student performance outcomes. In this type of research, the nature of the experimental design, the choice in assessment, the selection of comparison groups, and the statistical methods used to analyze the comparison data dictate the validity of…
Descriptors: Science Instruction, Comparative Analysis, Inferences, Validity
Zhou, Xiang; Xie, Yu – Sociological Methods & Research, 2016
Since the seminal introduction of the propensity score (PS) by Rosenbaum and Rubin, PS-based methods have been widely used for drawing causal inferences in the behavioral and social sciences. However, the PS approach depends on the ignorability assumption: there are no unobserved confounders once observed covariates are taken into account. For…
Descriptors: Probability, Statistical Inference, Comparative Analysis, Longitudinal Studies
Higgins, Steve; Katsipataki, Maria – International Journal of Research & Method in Education, 2016
This article reviews some of the strengths and limitations of the comparative use of meta-analysis findings, using examples from the Sutton Trust-Education Endowment Foundation Teaching and Learning "Toolkit" which summarizes a range of educational approaches to improve pupil attainment in schools. This comparative use of quantitative…
Descriptors: Meta Analysis, Educational Research, Comparative Analysis, Evidence Based Practice
Shakeel, M. Danish; Peterson, Paul E. – Journal of School Choice, 2020
We use a quadratic equation to estimate trends in cohort performances in the charter and district sectors on the National Assessment of Educational Progress in 4th and 8th grade between 2005 and 2017. Data consist of over four million test observations of nationally representative samples of students on seven separate math and reading tests. We…
Descriptors: Charter Schools, School Districts, Trend Analysis, Reading Tests
Lu, Hongjing; Chen, Dawn; Holyoak, Keith J. – Psychological Review, 2012
How can humans acquire relational representations that enable analogical inference and other forms of high-level reasoning? Using comparative relations as a model domain, we explore the possibility that bottom-up learning mechanisms applied to objects coded as feature vectors can yield representations of relations sufficient to solve analogy…
Descriptors: Inferences, Thinking Skills, Comparative Analysis, Models