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.
Main Authors
Format
Books Book part
Published
2024
Subjects
Publication in research information system
Publisher
Springer
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202407125240Use this for linking
Parent publication ISBN
978-3-031-54463-7
Review status
Peer reviewed
DOI
https://doi.org/10.1007/978-3-031-54464-4_5
Language
English
Is part of publication
Learning Analytics Methods and Tutorials : A Practical Guide Using R
Citation
  • Tikka, S., Kopra, J., Heinäniemi, M., López-Pernas, S., & Saqr, M. (2024). Introductory Statistics with R for Educational Researchers. In M. Saqr, & S. López-Pernas (Eds.), Learning Analytics Methods and Tutorials : A Practical Guide Using R (pp. 121-150). Springer. https://doi.org/10.1007/978-3-031-54464-4_5
License
CC BY 4.0Open Access
Copyright© The Author(s) 2024

Share