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Kentaro Hayashi; Ke-Hai Yuan; Peter M. Bentler – Grantee Submission, 2025
Most existing studies on the relationship between factor analysis (FA) and principal component analysis (PCA) focus on approximating the common factors by the first few components via the closeness between their loadings. Based on a setup in Bentler and de Leeuw (Psychometrika 76:461-470, 2011), this study examines the relationship between FA…
Descriptors: Factor Analysis, Comparative Analysis, Correlation, Evaluation Criteria
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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
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Deborah J. Harris – Educational Measurement: Issues and Practice, 2024
This article is based on my 2023 NCME Presidential Address, where I talked a bit about my journey into the profession, and more substantively about comparable scores. Specifically, I discussed some of the different ways 'comparable scores' are defined, highlighted some areas I think we as a profession need to pay more attention to when considering…
Descriptors: Scores, Comparative Analysis, Speeches, Career Development
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Louise Lynch; Mary McCarron; Philip McCallion; Eilish Burke – Journal of Applied Research in Intellectual Disabilities, 2025
Background: The positive impact of physical activity on health is widely known. A comparison between activPAL objective measures and International Physical Activity Questionnaire short form (IPAQ-SF) self-reported activity levels was completed with older adults with intellectual disability. Understanding differences between the two methodologies…
Descriptors: Physical Activities, Questionnaires, Older Adults, Intellectual Disability
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Yongseok Lee; Walter L. Leite; Audrey J. Leroux – Journal of Experimental Education, 2024
In the current study, we compare propensity score (PS) matching methods for data with a cross-classified structure, where each individual is clustered within more than one group, but the groups are not hierarchically organized. Through a Monte Carlo simulation study, we compared sequential cluster matching (SCM), preferential within cluster…
Descriptors: Comparative Analysis, Data Analysis, Groups, Classification
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Landan Zhang; Sylwia Bujkiewicz; Dan Jackson – Research Synthesis Methods, 2024
Simulated treatment comparison (STC) is an established method for performing population adjustment for the indirect comparison of two treatments, where individual patient data (IPD) are available for one trial but only aggregate level information is available for the other. The most commonly used method is what we call 'standard STC'. Here we fit…
Descriptors: Simulation, Patients, Outcomes of Treatment, Comparative Analysis
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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
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Liu Liu; Hamish Coates – Higher Education Quarterly, 2024
This study explores development of the Greater Bay Area (GBA) as it aspires to become a leading international education hub, set against the backdrop of established hubs in Malaysia, Qatar and the San Francisco Bay Area. Through a comparative analysis grounded in an adapted George Keller framework, the research investigates the internal and…
Descriptors: Foreign Countries, International Education, Comparative Analysis, Geographic Regions
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Stephan B. Bruns; Teshome K. Deressa; T. D. Stanley; Chris Doucouliagos; John P. A. Ioannidis – Research Synthesis Methods, 2024
Using a sample of 70,399 published p-values from 192 meta-analyses, we empirically estimate the counterfactual distribution of p-values in the absence of any biases. Comparing observed p-values with counterfactually expected p-values allows us to estimate how many p-values are published as being statistically significant when they should have been…
Descriptors: Meta Analysis, Research Reports, Research Design, Microeconomics
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Lu Qin; Shishun Zhao; Wenlai Guo; Tiejun Tong; Ke Yang – Research Synthesis Methods, 2024
The application of network meta-analysis is becoming increasingly widespread, and for a successful implementation, it requires that the direct comparison result and the indirect comparison result should be consistent. Because of this, a proper detection of inconsistency is often a key issue in network meta-analysis as whether the results can be…
Descriptors: Meta Analysis, Network Analysis, Bayesian Statistics, Comparative Analysis
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Ian Jones; Ben Davies – International Journal of Research & Method in Education, 2024
Educational researchers often need to construct precise and reliable measurement scales of complex and varied representations such as participants' written work, videoed lesson segments and policy documents. Developing such scales using can be resource-intensive and time-consuming, and the outcomes are not always reliable. Here we present…
Descriptors: Educational Research, Comparative Analysis, Educational Researchers, Measurement
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Manjula Wijewickrema – portal: Libraries and the Academy, 2024
This research compares the performance measures reported by two bibliographic databases relevant to a set of authors who have published in predatory journals. The reliability of decision-making based on the information provided by uncontrolled bibliographic databases is examined to support rational decisions. A sample of authors who published in…
Descriptors: Periodicals, Ethics, Deception, Authors
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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
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Robert Hepach; Michael Tomasello – Child Development Perspectives, 2025
Chimpanzees and other great apes seem to be much less cooperative than humans overall, yet they nevertheless reliably help others in many instrumental circumstances. Although in many contexts the helping behavior of chimpanzees is quite similar to that of human children, recent studies using both behavioral and psychophysiological paradigms have…
Descriptors: Animals, Cooperation, Prosocial Behavior, Children
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Michael C. Robbins; Zhuping Li – Field Methods, 2025
The Nolan Index (NI) is a normed, quantitative measure for comparing the degree of resemblance (similarity or dissimilarity) between free listings with an Excel program for calculating it. This article enhances that effort with the addition of an R program and additional applications. Free-list resemblance measures have been used to investigate…
Descriptors: Computation, Norm Referenced Tests, Comparative Analysis, Spreadsheets
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