Online Stats Training
Published November 2, 2020 | Version v1
Lesson Open

Tutorial: jamovi for beginners

Creators

  • 1. Utrecht University

Description

This tutorial introduces the basics of jamovi (The jamovi project, 2020) for beginners. Starting from jamovi installation, we explain the screen structure of jamovi, how to load a dataset, and how to explore and visualize data. Readers will further learn ways to perform such statistical analyses as correlation analysis, multiple linear regression, t-test, and one-way analysis of variance, all from a frequentist viewpoint. Given the integrative power between jamovi and R, one section is designed to help readers to make use of the best of both jamovi and R. After the tutorial, we expect readers to become familiar with using basic options in jamovi and get prepared for the ‘next step’.

Notes

Since we continuously improve the tutorials, let us know via Github (https://github.com/Rensvandeschoot/Tutorials) if you discover mistakes, or if you have additional resources we can refer to.

Files

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Additional details

Related works

Cites
Lesson: 10.5281/zenodo.3963825 (DOI)
Lesson: 10.5281/zenodo.4117882 (DOI)
References
Dataset: 10.5281/zenodo.3962123 (DOI)

References

  • Anderson, E. (1936). The species problem in Iris. Annals of the Missouri Botanical Garden, 23(3), 457-509. https://doi.org/10.2307/2394164
  • Dolan, C. V., Oort, F. J., Stoel, R. D., & Wicherts, J. M. (2009). Testing measurement invariance in the target rotated multigroup exploratory factor model. Structural Equation Modeling: A Multidisciplinary Journal, 16(2), 295-314. https://doi.org/10.1080/10705510902751416
  • The jamovi project. (2020). jamovi (Version 1.2.27)[Computer software].
  • Van de Schoot, R. (2020). Popularity Dataset for Online Stats Training [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3962123
  • Van de Schoot, R., & Depaoli, S. (2014). Bayesian analyses: Where to start and what to report. The European Health Psychologist, 16(2), 75-84.
  • Van de Schoot, R., Kaplan, D., Denissen, J., Asendorpf, J. B., Neyer, F. J., & Van Aken, M. A. (2014). A gentle introduction to Bayesian analysis: Applications to developmental research. Child development, 85(3), 842-860. https://doi.org/10.1111/cdev.12169
  • Van de Schoot, R., Van der Velden, F., Boom, J., & Brugman, D. (2010). Can at-risk young adolescents be popular and anti-social? Sociometric status groups, anti-social behaviour, gender and ethnic background. Journal of adolescence, 33(5), 583-592. https://doi.org/10.1016/j.adolescence.2009.12.004