For decades, statisticians and methodologists have insisted researchers utilize graphical analysis much more heavily. Despite cogent and passionate recommendations, there has been no graphical revolution. Instead, researchers rely heavily on misleading graphics that violate visual processing heuristics. Perhaps the main reason for the persistence of deceptive graphics is software; most software familiar to psychological researchers suffer from poor defaults and limited capabilities. Also, visualization is ancillary to statistical analysis, providing an incentive to not produce graphics at all. In this paper, we argue that every statistical analysis must have an accompanying graphic, and we introduce the point-and-click software Flexplot, available both in JASP and Jamovi. We then present the theoretical framework that guides Flexplot, as well as show how to perform the most common statistical analyses in psychological literature.

几十年来，统计学家和方法学家一直坚持研究人员更多地利用图形分析。尽管提出了有说服力和热情的建议，但并没有出现图形革命。相反，研究人员严重依赖违反视觉处理启发式的误导性图形。也许欺骗性图形持续存在的主要原因是软件；大多数心理学研究人员熟悉的软件都有糟糕的默认设置和有限的功能。此外，可视化辅助统计分析，提供激励，以不完全生成图形。在本文中，我们认为每个统计分析都必须有一个伴随的图形，并且我们介绍了点击式软件 Flexplot，该软件在 JASP 和 Jamovi 中均可用。然后，我们将介绍指导 Flexplot 的理论框架，并展示如何执行心理学文献中最常见的统计分析。