dc.contributor.author | Tikka, Santtu | |
dc.contributor.author | Kopra, Juho | |
dc.contributor.author | Heinäniemi, Merja | |
dc.contributor.author | López-Pernas, Sonsoles | |
dc.contributor.author | Saqr, Mohammed | |
dc.contributor.editor | Saqr, Mohammed | |
dc.contributor.editor | López-Pernas, Sonsoles | |
dc.date.accessioned | 2024-07-12T08:07:36Z | |
dc.date.available | 2024-07-12T08:07:36Z | |
dc.date.issued | 2024 | |
dc.identifier.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.), <i>Learning Analytics Methods and Tutorials : A Practical Guide Using R</i> (pp. 121-150). Springer. <a href="https://doi.org/10.1007/978-3-031-54464-4_5" target="_blank">https://doi.org/10.1007/978-3-031-54464-4_5</a> | |
dc.identifier.other | CONVID_221056215 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/96414 | |
dc.description.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. | en |
dc.format.extent | 736 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartof | Learning Analytics Methods and Tutorials : A Practical Guide Using R | |
dc.rights | CC BY 4.0 | |
dc.subject.other | R-ohjelmointikieli | |
dc.subject.other | statistics | |
dc.subject.other | learning analytics | |
dc.subject.other | hypothesis testing | |
dc.title | Introductory Statistics with R for Educational Researchers | |
dc.type | book part | |
dc.identifier.urn | URN:NBN:fi:jyu-202407125240 | |
dc.contributor.laitos | Matematiikan ja tilastotieteen laitos | fi |
dc.contributor.laitos | Department of Mathematics and Statistics | en |
dc.type.uri | http://purl.org/eprint/type/BookItem | |
dc.relation.isbn | 978-3-031-54463-7 | |
dc.type.coar | http://purl.org/coar/resource_type/c_3248 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 121-150 | |
dc.type.version | publishedVersion | |
dc.rights.copyright | © The Author(s) 2024 | |
dc.rights.accesslevel | openAccess | fi |
dc.type.publication | bookPart | |
dc.subject.yso | oppiminen | |
dc.subject.yso | analyysi | |
dc.subject.yso | tilastomenetelmät | |
dc.subject.yso | regressioanalyysi | |
dc.subject.yso | ohjelmointikielet | |
dc.subject.yso | tilastot | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p2945 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p6851 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p3127 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p2130 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p162 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p3156 | |
dc.rights.url | https://creativecommons.org/licenses/by/4.0/ | |
dc.relation.doi | 10.1007/978-3-031-54464-4_5 | |
dc.type.okm | A3 | |