688,112 Statistical Results: Content Mining Psychology Articles for Statistical Test Results

Chris H. J. Hartgerink

doi:10.20944/preprints201608.0191.v1

Preprint Data Descriptor Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 22 August 2016 / Approved: 23 August 2016 / Online: 23 August 2016 (10:33:53 CEST)

In this data deposit, I describe a dataset that is the result of content mining 167,318 published articles for statistical test results. As a result of this content mining, 688,112 results from 50,845 articles were extracted. In order to provide a comprehensive set of data, the statistical results are supplemented with metadata from the article they originate from. The dataset is provided in a comma separated file (CSV) in long-format. For each of the 688,112 results, 20 variables are included, of which seven are article metadata and 13 pertain to the individual statistical results (e.g., reported and recalculated p-value). A five-pronged approach was taken to generate the dataset: (i) collect journal lists, (ii) spider journal pages for articles, (iii) download articles, (iv) add article metadata, and (v) mine articles for statistical results.

nhst; p-values; apa; content mining; tdm; errors

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688,112 Statistical Results: Content Mining Psychology Articles for Statistical Test Results

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