Jamovi software and R studio programs for statistical analysis:
Jamovi software:
Jamovi is easy, open and free software which is good for students as it offers the R power
with
programming language as mixed method and factor analysis.
Jamovi software can be used for:
1- Single file
data, output, and transformation.
2- Interactive
outputs, updating, added, and option set of the variables when data changed or
filtered.
3- Help to learn R
when syntax changed when check boxes and add elements.
4- Advanced
programming can be made by Jamovi like ANOVA analysis and variance, linear
regression, and factor analysis.
R studio software:
R studio software is a statistical analysis program written by C++ language programming
which integrated in environmental development, language programming for computing
statistics, and graphs that are available in 2 format R studio desktop application and R
studio server which can be run on remote server with
accessing web browser
Strength of R studio:
The strength of R studio to support reproducible analysis by R markdown which allows to
mix text with code R, C, C++, and other programs to create dynamic reports and
automatically updated by various formatting as HTML, PDF, and word.
The R studio integrated development environment which is available and its open source
license and freedom to share the code.
Both R
studio desktop and server were free to be installed on windows and other
programs
Comparison between statistical analysis (SPSS, Jamovi, R studios):
The
comparison between deferent statistical analysis as follows which showed in the
table:
Comparison |
SPSS |
Jamovi |
R studio |
Free to use |
Need payment |
Free to download and
uses |
Free to download and
uses |
Descriptive
statistics |
Can get frequencies,
explore, Cross tables, and ratio |
Can get frequencies,
cross tables by independent samples and no ratio |
Can do descriptive
statistics as SPSS and support jamovi |
Bayesian Statistics |
Can do one sample
normal, binomial, poisson, independent sample normal, pearson correlation,
linear regression, one-way ANOVA, |
One sample T-test,
frequency by proportional test or contingency table, paired sample T- test,
independent sample T-test, regression by correlation matrix or correlation
pairs, linear regression, ANOVA test. |
Can be do most of
the statistical analysis as SPSS and more with crosstables, chi squirs,
t-test, ANOVA, and more |
Compare Means |
Compare means by
independent and paired t-test, ANOVA test |
Same as SPSS |
Same as SPSS |
General linear model
|
Univariate,
multivariate, variance |
ANOVA test |
Can do both |
Classify |
Discriminant, two
step cluster, hierarchical cluster, K- mean cluster |
N/A |
Can be done as SPSS |
Scale |
Reliability
analysis, Multidimensional scaling |
Can reliability have
done but not multidimensional scaling |
As SPSS |
Nonparametric test |
One sample, independent
sample, related sample, fisher exact test, Shapiro-Wilks, Mann-Whitney U, Wilcoxon Rank, Kruskal-Wallis |
Same as SPSS |
Same as SPSS |
Multiple Response |
Available can be
done by frequencies and crosstabs |
N/A |
Can be done |
Conclusion:
The statistical analysis is very important to find the results and the outcomes of any research
study, so the researchers must understand it and know how to perform it when doing
research studies.
To have
more information about
Statistical
analysis can visit
https://healthycommuntyjournal.blogspot.com/2024/12/statistical-analysis-in-research-studies.html
or YouTube:
And about SPSS
statistical analysis can visit:
https://healthycommuntyjournal.blogspot.com/2025/03/what-is-spss-statistical-analysis.html
or YouTube:
References:
-Jamovi. (2022). Wikipedia.
https://en.wikipedia.org/wiki/Jamovi
-Kermer,
D. (2025). InfoGuides: Software for Digital Scholarship: Jamovi.
Infoguides.gmu.edu. https://infoguides.gmu.edu/software/jamovi
-Wikipedia
Contributors. (2019, October 27). RStudio. Wikipedia; Wikimedia
Foundation. https://en.wikipedia.org/wiki/RStudio
-Jamovi.org.
(2020). Comparison of analyses available in SPSS and jamovi — jamovi
Documentation. [online] Available at:
https://docs.jamovi.org/_pages/s2j_Comparison_of_analyses.html.