Power analyses and sample size calculations are important parts of many research projects. Often, before data are even collected, it is necessary to calculate and justify the required sample size for ...
The accuracy and reproducibility of research studies are a major concern of the scientific community. Researchers at Baylor College of Medicine have examined this problem in the field of multisensory ...
Small sample sizes in studies using functional MRI to investigate brain connectivity and function are common in neuroscience, despite years of warnings that such studies likely lack sufficient ...
Purpose Large samples are generally considered necessary for Rasch model to obtain robust item parameter estimates. Recently, small sample Rasch analysis was suggested as preliminary assessment of ...
Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Erika Rasure is globally-recognized as a leading consumer economics ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Greg DePersio has 13+ years of professional experience in sales and SEO and 3+ years as a writer and editor. Simple random sampling is a method used to cull a smaller sample size from a larger ...