In:Digital and Internet-Based Research Methods in Applied Linguistics
Edited by Matt Kessler
[Research Methods in Applied Linguistics 15] 2026
► pp. 386–411
Chapter 18JASP for (web-based) statistics
Published online: 5 January 2026
https://doi.org/10.1075/rmal.15.18loe
https://doi.org/10.1075/rmal.15.18loe
Abstract
JASP is one of the most user-friendly open-source software programs for data analysis available
today, and it has recently also become available online through rollApp. This chapter provides a hands-on introduction
to quantitative data analysis using this web-based version of JASP and will guide readers through a few traditional
statistical analyses (i.e., a Pearson’s r correlation and a t-test) that are
commonly used within applied linguistics. Real studies from the field that have used JASP for their data analyses will
also be discussed, after which the challenges that are associated with (online) data analysis and statistics will be
considered. We will cover a few points on research ethics and research integrity, as both of these have come under
greater scrutiny in the past few years and thus have grown in importance. The chapter will conclude by exploring
potential avenues for the future.
Article outline
- 1.Introduction
- 2.Frequently asked research questions
- What is JASP?
- What are the properties and advantages of using JASP?
- What data files and formats do researchers use in JASP?
- What kinds of questions do researchers address using JASP?
- 3.Implementation
- Relationships: Pearson’s r
- Opening the dataset and checking the file
- Visualizing and describing the data
- Assessing assumptions
- Performing and interpreting a correlation
- Writing up the results
- Comparing groups: T-test
- Visualizing and describing the data
- Assessing assumptions and performing the t-test
- Writing up the results
- Relationships: Pearson’s r
- 4.Example studies
- Poarch (2018)
- Barbu et al. (2020)
- Ward and Awani (2024)
- Yoruk et al. (2023)
- 5.Ethics and research integrity considerations
- 6.Challenges and issues
- 7.Future research directions
Notes References
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