Abstract
Data analysis can be accurate and reliable only if the underlying assumptions of the used statistical method are validated. Any violations of these assumptions can change the outcomes and conclusions of the analysis. In this study, we developed Smart Data Analysis V2 (SDA-V2), an interactive and user-friendly web application, to assist users with limited statistical knowledge in data analysis, and it can be freely accessed at https://jularatchumnaul.shinyapps.io/SDA-V2/. SDA-V2 automatically explores and visualizes data, examines the underlying assumptions associated with the parametric test, and selects an appropriate statistical method for the given data. Furthermore, SDA-V2 can assess the quality of research instruments and determine the minimum sample size required for a meaningful study. However, while SDA-V2 is a valuable tool for simplifying statistical analysis, it does not replace the need for a fundamental understanding of statistical principles. Researchers are encouraged to combine their expertise with the software’s capabilities to achieve the most accurate and credible results.
Publisher
Public Library of Science (PLoS)
Reference18 articles.
1. Some properties of preliminary tests of equality of variances in the two-sample location problem;DW Zimmerman;The Journal of General Psychology,1996
2. Further evaluating the conditional decision rule for comparing two independent means;AF Hayes;British Journal of Mathematical and Statistical Psychology,2007
3. Regression assumptions in clinical psychology research practice: A systematic review of common misconceptions;AF Ernst;PeerJ,2017
4. Review of the use of statistics in infection and immunity;CH Olsen;Infection and Immunity,2003
5. Statistics for the reader: what to ask before believing the results;PT Choi;Canadian Journal of Anesthesia,2005