A practical guide for using statistical tests to assess randomized algorithms in software engineering

Author(s):  
Andrea Arcuri ◽  
Lionel Briand
2020 ◽  
Vol 25 (5) ◽  
pp. 3128-3174 ◽  
Author(s):  
Zohreh Sharafi ◽  
Bonita Sharif ◽  
Yann-Gaël Guéhéneuc ◽  
Andrew Begel ◽  
Roman Bednarik ◽  
...  

2016 ◽  
Vol 22 (4) ◽  
pp. 251-259 ◽  
Author(s):  
Vasilis Nikolaou

SummaryThis article is a practical guide for psychiatrists who want to apply basic and straightforward statistics in their research. It describes ways of summarising data and provides an overview of statistical tests for comparing patients' characteristics. Measures of association such as correlation and regression are also explained, along with principal components analysis, a method for reducing the dimensionality of data. Explanations are clarified using data from the published studies.


2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.


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