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Understanding Statistics is a peer-reviewed journal published by Taylor & Francis, covering Advanced Statistical Methods and Models, Meta-analysis and systematic reviews, Statistical Methods and Bayesian Inference.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Understanding Statistics 12 (3): 45–58.
Formats any DOI in Understanding Statistics style. No sign-up. |
| Publishes research in | Advanced Statistical Methods and Models Meta-analysis and systematic reviews Statistical Methods and Bayesian Inference Statistical Methods in Clinical Trials Advanced Statistical Modeling Techniques |
| ISSN | 1532-8031 |
| h-index | 26 |
| i10-index | 36 |
| Total citations | 6,024 |
| Top institutions publishing here | West Chester University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Since the introduction of covariance-based structural equation modeling (SEM) by Joreskog in 1973, this technique has been received with considerable interest among empirical researchers. However, the predominance of LISREL, certainly the most well-known tool to perform this kind of analysis, has led to the fact that not all researchers are aware of alternative techniques for…
Abstract. In multilevel modelling, the residual variation in a response variable is split into component parts that are attributed to various levels. In applied work, much use is made of the percentage of variation that is attributable to the higher-level sources of variation. Such a measure however only makes sense in simple variance components, Normal…
Proper use of exploratory factor analysis (EFA) requires the researcher to make a series of careful decisions. Despite attempts by Floyd and Widaman (1995), Fabrigar, Wegener, MacCallum, and Strahan (1999), and others to elucidate critical issues involved in these decisions, examples of questionable use of EFA are still common in the applied factor analysis literature.…
Logistic regression, being well suited for analyzing dichotomous outcomes, has been increasingly applied in social science research. That potential expanded usage demands that researchers, editors, and readers be coached in terms of what to expect in an article that used the logistic regression technique: What tables should be included? What assumptions tested? What figures or…
The ordered probit model serves as an appropriate framework for statistical analysis whenever survey responses are ordinal as distinct from numerical. In this article we provide motivation for using the model, outline the underlying theory, illustrate the use of the model with a practical example on physiotherapists' beliefs regarding pain, and explain how the model's…
