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Judith Glaesser – Field Methods, 2025
In qualitative comparative analysis, as with all methods, there is a question about how many cases are needed to make an analysis robust. In deciding on the number of cases, a key consideration is the number of conditions to be analyzed. I suggest that adding cases is preferable to dropping conditions if there are too many conditions relative to…
Descriptors: Comparative Analysis, Robustness (Statistics), Sampling, Case Studies
Landan Zhang; Dan Jackson – Research Synthesis Methods, 2024
A recent paper proposed an alternative weighting scheme when performing matching-adjusted indirect comparisons. This alternative approach follows the conventional one in matching the covariate means across two studies but differs in that it maximizes the effective sample size when doing so. The appendix of this paper showed, assuming there is one…
Descriptors: Comparative Analysis, Medical Research, Sample Size, Research Methodology
Christoph Niessen – Sociological Methods & Research, 2024
In the wake of the methodological developments that aim to render qualitative comparative analysis (QCA) "time sensitive", I propose a new procedure for carrying out QCA longitudinally. More specifically, I show first why longitudinal case disaggregation should be carried out with change-based intervals (CBIs) rather than with fixed…
Descriptors: Longitudinal Studies, Comparative Analysis, Research Methodology, Qualitative Research
Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
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
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
Lanqi Wang; Chengan Yuan; Shahad Alsharif; Qing Archer Zhang; Yang Du – Remedial and Special Education, 2024
Single-case comparative studies could help identify efficient instructional procedures for individuals with disabilities. However, previous literature reported inconsistent efficiency results if multiple comparisons were conducted, indicating that within-participant replication was uncommon. In this review, we examined single-case comparative…
Descriptors: Regression (Statistics), Research Methodology, Intervention, Program Effectiveness
Kamaruddin Mardhiah; Othman Nursyahiyatul-Anis – Pedagogical Research, 2024
Background: In Malaysia, the mortality from melioidosis infection was reported to be higher than in other infectious diseases. The research on melioidosis is still limited in Malaysia but slightly increasing. Objectives: The objective of the study was to give an overview of the study designs, statistical methods, and comparison of research in…
Descriptors: Predictor Variables, Mortality Rate, Foreign Countries, Statistical Analysis
Suyoung Kim; Sooyong Lee; Jiwon Kim; Tiffany A. Whittaker – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for estimating latent interactions within multiple-group analysis frameworks using simulation studies and empirical data, we assess their relative merits.…
Descriptors: Social Science Research, Behavioral Sciences, Structural Equation Models, Statistical Analysis
Ilker Cingillioglu; Uri Gal; Artem Prokhorov – Education and Information Technologies, 2024
This study presents a novel approach contributing to our understanding of the design, development, and implementation AI-based systems for conducting double-blind online randomized controlled trials (RCTs) for higher education research. The process of the entire interaction with the participants (n = 1193) and their allocation to test and control…
Descriptors: Artificial Intelligence, Higher Education, Comparative Analysis, College Choice
Catherine A. Bacos; Michael P. McCreery; Randall Boone – Journal of Special Education Technology, 2024
Recent findings from social attention research suggest direct engagement with others is a necessary condition for the social cognitive development of both autistic children and their typically developing peers. These findings come from studies that have used eye-tracking technology and paradigms for measuring social attention in naturalistic,…
Descriptors: Eye Movements, Biofeedback, Attention, Social Science Research
How Does Schooling Affect Inequality in Cognitive Skills? The View from Seasonal Comparison Research
Douglas B. Downey – Review of Educational Research, 2024
A small subset of education studies analyzes school data collected seasonally (separating the summer from the school year). At first, this work was primarily known for documenting learning loss in the summers, but scholars have since recognized that observing how inequality changes between summer and school periods provides leverage for…
Descriptors: Data Collection, Educational Research, Learning Analytics, Cognitive Ability
Zachary K. Collier; Joshua Sukumar; Roghayeh Barmaki – Practical Assessment, Research & Evaluation, 2024
This article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation (RMME) to the educational data mining (EDM) community. It assumes that the audience is familiar with traditional priorities of statistical analyses, such as accurately estimating model parameters and inferences…
Descriptors: Educational Indicators, School Statistics, Data Analysis, Information Retrieval
Keren Dali; Deborah Charbonneau – Journal of Education for Library and Information Science, 2024
This article presents the Holistic Empowering Methodological Approach (HEMA), which is philosophically informed by the concept of diversity by design; epistemologically and methodologically guided by hermeneutic phenomenology; and supported by the method of qualitative survey combined with the Single Question Aimed at Inducing Narrative (SQUIN)…
Descriptors: Library Science, Doctoral Programs, Information Science Education, Doctoral Students
Muhammad Miftakhul Falah; Hartono; Sunyoto Eko Nugroho; Saiful Ridlo – Journal of Turkish Science Education, 2024
This study aimed to investigate research trends related to socio-scientific issues (SSI). The SSI articles analysed were from highest-rating five science education journals with the highest impact ratings, published between 2011 and 2022, including "Science Education" [SE], "Journal of Research in Science Teaching" [JRST],…
Descriptors: Social Science Research, Trend Analysis, Science Education, Periodicals
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