Laboratory Experiments in Information Retrieval Sample Sizes, Effect Sizes, and Statistical Power /

• Main Author: Sakai, Tetsuya (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: The Information Retrieval Series, 40
• Subjects: Information storage and retrieval.; Statistics .; Information Storage and Retrieval.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

Covering aspects from principles and limitations of statistical significance tests to topic set size design and power analysis, this book guides readers to statistically well-designed experiments. Although classical statistical significance tests are to some extent useful in information retrieval (I...

Table of Contents:

• 1 Preliminaries
• 2 t-tests
• 3 Analysis of Variance
• 4 Multiple Comparison Procedures
• 5 The Correct Ways to Use Significance Tests
• 6 Topic Set Size Design Using Excel
• 7 Power Analysis Using R
• 8 Conclusions.