Plausibility check in scientific studies

The presentation ‘Plausibility check in scientific studies’ explains the importance of plausibility checks for the quality of a scientific study. It provides information on the significance, background, methodology and practical implementation of plausibility checks. Before calculating the statistical results, it is important to check the data for plausibility (plausibility check). The plausibility check assesses the data for completeness, correctness and consistency (CCC). Carrying out plausibility checks and subsequently correcting the data (where possible) is essential for the quality of the statistical analysis of scientific studies. In addition, the syntax for a typical plausibility check – for the statistics program IBM SPSS Statistics– is presented. Users can apply this syntax directly to check their own data.