Paper Info
Title
Statsplorer: Guiding Novices in Statistical Analysis
Abstract
Each step of statistical analysis requires researchers to make decisions based on both statistical knowledge and the knowledge of their own data. For novice analysts, this is cognitively demanding and can lead to mistakes and misinterpretations of the results. We present Statsplorer, a software that helps novices learn and perform inferential statistical tests. It lets the user kick-start data analysis from their research questions. Statsplorer automatically tests necessary statistical assumptions and uses visualizations to guide the user in both selecting statistical tests and interpreting the results. We compared Statsplorer with a statistics lecture and investigated how Statsplorer prepares novices for learning statistics in an AB/BA crossover experiment. The results indicates that using Statsplorer prior to the lecture leads to significantly better test scores in understanding statistical assumptions and choosing appropriate statistical tests. Statsplorer is open-source and is available online at: http://hci.rwth-aachen.de/statsplorer.
Year
DOI
Venue
2015
10.1145/2702123.2702347
CHI
Keywords
Field
DocType
user interfaces,data analysis,statistical software,data visualization,inferential statistics
Data visualization,Computer science,Software,Statistical inference,Artificial intelligence,Statistical theory,Statistical assumption,Machine learning,Statistical hypothesis testing,Statistical analysis
Conference
Citations 
PageRank 
References 
8
0.59
16
Authors
4
Name
Order
Citations
PageRank
Chat Wacharamanotham1382.11
Krishna Subramanian2102.97
Sarah Theres Völkel3126.09
Jan Borchers41659154.20