Visualizations have a potentially enormous influence on how data are used to make
decisions across all areas of human endeavor. However, it is not clear how this power …

We present explorable multiverse analysis reports, a new approach to statistical reporting
where readers of research papers can explore alternative analysis options by interacting …

Scientists often use meta-analysis to characterize the impact of an intervention on some
outcome of interest across a body of literature. However, threats to the utility and validity of …

It has been widely suggested that a key goal of visualization systems is to assist decision
making, but is this true? We conduct a critical investigation on whether the activity of …

Drawing reliable inferences from data involves many, sometimes arbitrary, decisions across
phases of data collection, wrangling, and modeling. As different choices can lead to …

Research and development in computer science and statistics have produced increasingly
sophisticated software interfaces for interactive and exploratory analysis, optimized for easy …

Though statistical analyses are centered on research questions and hypotheses, current
statistical analysis tools are not. Users must first translate their hypotheses into specific …

We investigate whether the notion of active reading for text might be usefully applied to
visualizations. Through a qualitative study we explored whether people apply observable …

Data analysis requires translating higher level questions and hypotheses into computable
statistical models. We present a mixed-methods study aimed at identifying the steps …

Inferential statistics are typically reported using p-values (NHST) or confidence intervals on
effect sizes (estimation). This is done using a range of styles, but some readers have …