TIPS FOR STATISTICAL TOOLS FOR RESEARCH METHODS IN EXERCISE AND SPORT SCIENCESdoi:10.17309/tmfv.2023.3.20Aliberti, SaraD'Elia, FrancescaCherubini, DomenicoPhysical Education Theory & Methodology
There are a vast universe of statistical tools used in medical research. These tools get the job done in similar ways, but the differences lie in ease of use and presentation as differences in licensing (proprietary or not), interface (point and click or command line) and cost (free or pa...
Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from research data and provides different ways to assess the robustness of research outputs. ...
not only on the development of data, but also on the entire panoply of statistical activities, including definitions, concepts, measurement methods, analytical tools, professional standards, dissemination modes, ways to advance the effective use of their data, and means to protect the confidentiality ...
graduate level. At that level, students do not receive sufficient information concerning the importance of using different types of effect sizes and their confidence intervals according to the different types of research designs; instead, most of the information is focused on the various tools of ...
in the data that are pre-processed and made publicly available—the data upon which the computational tools of network science are developed. The absence of this metadata that describes the quality of the original data means that many of the tools of Network Science are built upon the implicit...
The p-value is one of the most common, and one of the most confusing, tools in applied statistics. Seasoned educators are well aware of all the things the p-value is not. Most notably, it’s not “the probability that the null hypothesis is true.” McShane and Gal find that even top...
We can imagine how the research team huddled nervously around the computer terminal biting their nails and silently praying as they executed their updated Stata code, only to erupt in joy and celebration as the results appeared on screen and revealed they were right all along. . . .” (26 ...
,... - 《Journal of Advanced Veterinary Research》 被引量: 5发表: 2011年 A New Family of Divergences Originating from Model Adequacy Tests and Application to Robust Statistical Inference Minimum divergence methods are popular tools in a variety of statistical applications. We consider tubular model...
In my own applied work, the sorts of adjustments that would be needed to adjust for model selection would be pretty minor, so it’s not where I focus my theoretical or methodological research efforts. For bad analyses, it’s another story. For example, if Daryl Bem of those notorious ESP...