A Shortcut to Rejection: How Not to Write the Results Section of a Paper

Abstract

This article discusses common errors in writing up the results of papers. It covers the following: 1) giving details about irrelevant topics, such as what program was used to enter the data, while ignoring important ones (for example, which options were chosen for various statistical tests); 2) reporting P levels of 0.0000 and negative values for t tests; 3) giving the P levels but not the actual values of the statistical tests; 4) not including confidence intervals and measures of the magnitude of an effect; 5) testing irrelevant hypotheses, such as whether reliability or validity coefficients are significantly different from zero; 6) attributing reliability and validity to tests rather than to the circumstances under which they are given; and 7) reporting levels of accuracy that cannot be supported by the data. Suggestions are made regarding the proper way to report findings.