Raw Data Visualization for Common Factorial Designs Using SPSS: A Syntax Collection and Tutorial.

ABSTRACT: Transparency in data visualization is an essential ingredient for scientific communication. The traditional approach of visualizing continuous quantitative data solely in the form of summary statistics (i.e., measures of central tendency and dispersion) has repeatedly been criticized for not revealing the underlying raw data distribution. Remarkably, however, systematic and easy-to-use solutions for raw data visualization using the most commonly reported statistical software package for data analysis, IBM SPSS Statistics, are missing. Here, a comprehensive collection of more than 100 SPSS syntax files and an SPSS dataset template is presented and made freely available that allow the creation of transparent graphs for one-sample designs, for one- and two-factorial between-subject designs, f

SUBMITTER: Loffing F 

PROVIDER: S-EPMC9005633 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature