Learning Statistics with jamovi: A Tutorial for Beginners in Statistical Analysis

doi:10.11647/obp.0333

Learning Statistics with jamovi: A Tutorial for Beginners in Statistical Analysis - cover image

DOI

https://doi.org/10.11647/OBP.0333

License

https://creativecommons.org/licenses/by-sa/4.0/

Copyright

Danielle Navarro; David Foxcroft;

Published On

2025-01-15

ISBN

Paperback978-1-80064-937-8

Hardback978-1-80064-938-5

PDF978-1-80064-939-2

Language

English

Print Length

490 pages (xiv+476)

Dimensions

Paperback203 x 34 x 254 mm(8" x 1.34" x 10")

Hardback203 x 38 x 254 mm(8" x 1.5" x 10")

Weight

Paperback1299g (45.82oz)

Hardback1559g (54.99oz)

Media

Illustrations210

Tables99

OCLC Number

1484882227

LCCN

2023513472

THEMA

PBT
UNC
JHBC
JMAL

BISAC

MAT029000
COM021030
SOC024000
PSY045010

LCC

QA276.45.J36

Keywords

Statistics
jamovi
Data Analysis
Descriptive Statistics
Hypothesis Testing
Psychology and Health Sciences

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Learning Statistics with jamovi

A Tutorial for Beginners in Statistical Analysis

Based on Danielle Navarro’s widely acclaimed and prize-winning book Learning Statistics with R, this elegantly designed textbook offers undergraduate students a thorough and accessible introduction to jamovi, as well as how to get to grips with statistics and data manipulation.

Lucid and easy to understand, Learning Statistics with jamovi covers the analysis of contingency tables, t-tests, correlation, regression, ANOVA and factor analysis, while also giving students a firm grounding in descriptive statistics and graphing. It includes learning aids for applying statistical principles using the jamovi interface, as well as embedded data files to accompany the book, and comprehensive chapters on probability theory, sampling and estimation, and null hypothesis testing.

Freely available in open access, Learning Statistics with jamovi is an ideal introduction for undergraduate and postgraduate students of psychology, as well as behavioural and health science students and anyone who needs to understand and use statistical analysis in their work.