Introductory Statistics with R for Educational Researchers
Abstract
Statistics play a fundamental role in learning analytics, providing a means to analyze and make sense of the vast amounts of data generated by learning environments. This chapter provides an introduction to basic statistical concepts using R and covers topics such as measures of central tendency, variability, correlation, and regression analysis. Specifically, readers will learn how to compute descriptive statistics, conduct hypothesis tests, and perform simple linear regression analysis. The chapter also includes practical examples using realistic data sets from the field of learning analytics. By the end of the chapter, readers should have a solid understanding of the basic statistical concepts and methods commonly used in learning analytics, as well as a practical understanding of how to use R to conduct statistical analysis of learning data. © The Editor(s) (if applicable) and The Author(s) 2024. This book is an open access publication.
Affiliations
Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylä, Finland; School of Computing, University of Eastern Finland, Joensuu, Finland; Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland