Fundamental Statistics with R Script and Jamovi

60 Hours Online Training on Fundamental Statistics with R Script and Jamovi

Organized by Rabindrik Psychotherapy Research Institute Trust (RPRIT), Registered Academic Trust by Indian Trust Act,1882, REGD.NO.150600103, DARPAN ID WB/2025/0514195.

Registration form: https://docs.google.com/forms/d/e/1FAIpQLSc1cqmXYVT5wMjWVguiff20zH8cYt-yX-GizXaWbVa3noX7CA/viewform

About the trust:  It is a higher learning virtual research institute aiming at educating students about research for the welfare of the larger community through online and blended education. International students are welcome here. The trust regularly inviting applications for various courses. Both Internal and External Faculties are teaching here. The trust has more than 500 students.

Recent Achievements & Recognition

RPRIT is the registered vendor for Tata Power in psychometric assessment.  RPRIT has a strong track record of mentoring undergraduate students through research internships. In 2024, RPRIT offered research internships to 11 undergraduate students from Maharaja Manindra Chandra College on psychometric data analysis and 13 students from the department of applied psychology of the University of Calcutta. RPRIT received appreciation letters from these institutions in recognition of its contribution to student research and skill development. 

Additionally, RPRIT is proud to announce the publication of a book on statistics, developed in collaboration with Acharya Bangalore B-School (ABBS), Bangalore. This initiative brings together esteemed scholars, including Dutta Roy Sir, President of RPRIT, along with Prof. Naresh Babu and Dr. Sharma from ABBS. This collaboration reflects RPRIT’s commitment to advancing statistical knowledge and its practical applications in research and analysis.

About Training 

The training integrates Jamovi’s simplicity with R’s versatility. Participants will learn to:

1. Summarize data (categorical, numerical, and rank).

2. Apply inferential statistics such as Chi-square, t-tests, ANOVA, and Kruskal–Wallis.

3. Visualize data effectively using Jamovi and R plotting functions.

4. Work with measurement scales and formulate/test hypotheses.

5. Import and export data across software environments.

Objective of course

This 60-hour capacity building training aims to disseminate knowledge of statistical tools and techniques using the Jamovi software and its R Script. Students scoring above 90% will be awarded RPRIT Mentorship status and promoted to guide mentees under the RPRIT mentorship training program.

Qualification

Students from Engineering, Social and Bio Sciences.

Syllabus:

Module 1: Introduction, Data Import & Export

• Basics of Jamovi interface and datasets
• Understanding measurement scales: Nominal, Ordinal, Interval, Ratio
• Importing data from CSV, Excel, and SPSS into Jamovi
• Exporting results and tables
• Introduction to Rj Editor in Jamovi
• Writing first R script in Jamovi (loading and summarizing data)

Module 2: Descriptive Statistics with Categorical Data

• Frequency tables, percentages, and proportions
• Mode and Median for categorical/ordinal data
• Cross-tabulation (Contingency tables)
• Statistics in cross-tabulation: Chi-square, Phi, Cramer’s V, Fisher’s Exact Test
• Rj Editor practice: frequency distribution and summary tables
• Data visualization: bar chart, pie chart, stacked bar chart

Module 3: Descriptive Statistics with Rank-Based Data

• Concept of rank data (preferences, ordering)
• Measures of central tendency in rank data
• Non-parametric correlation: Spearman’s Rank Correlation
• Kendall’s Tau
• Rj Editor practice: correlation tests on rank data
• Visualization of rank data (ordered bar chart, heatmap)

Module 4: Inferential Statistics with Categorical and Rank Data

• Hypothesis testing: Null and Alternative hypotheses
• Chi-square Test of Independence (categorical data)
• Goodness-of-fit test
• Kruskal-Wallis Test for rank-based data
• Mann-Whitney U Test (two independent groups)
• Rj Editor practice: Running Chi-square and Kruskal-Wallis
• Effect size interpretation in categorical and rank data analysis

Module 5: Integrated Data Analysis and Report Writing

• Combining descriptive and inferential statistics
• Reporting results in APA style
• Exporting Jamovi output into Word/Excel
• Writing R scripts in Jamovi for reproducibility
• Preparing a mini-project report: categorical or rank-based dataset analysis
• Interpretation and presentation of results with graphs and tables

Module 6: Non-Parametric Alternatives to t-tests

This module introduces students to non-parametric tests when data do not meet normality assumptions.

Topics covered:
- Mann–Whitney U Test (alternative to Independent Samples t-test)
- Wilcoxon Signed-Rank Test (alternative to Paired Samples t-test)
- Comparing outputs in Jamovi and Rj Editor
- Interpretation of results with examples
- Data visualization of ranked/ordinal outcomes

Practical Exercises:
- Run Mann–Whitney U test in Jamovi using two independent groups
- Perform Wilcoxon Signed-Rank test for paired/related samples
- Write and execute equivalent R scripts in Jamovi’s Rj editor
- Compare with Kruskal–Wallis results for three or more groups.

Duration: 60 Hours (8 weeks × 6 hrs/week)

Registration Fee is non refundable: Rs.2.5k before 31st August, Rs.3K after 31st August, and Rs. 2k per participant for group registrations.

Last Date of Registration: 2nd September.

Class Starts: 5th September, 2025.

Class Ends: 29th October 2025, 2025.

Day and Timings: 7-9 PM on Wednesday, Friday and Saturday.

Seats: 10.

Certificate: E-Certificate will be provided after course completion.

Teaching Pedagogy: Access to digital study materials. Live sessions with expert instructors, Google classroom, WhatsApp group, Personalized feedback on assignments and practicums. Resource persons will be internal and external faculties.

Important Dates:

Registration Starts: 25/08/2025.

Registration Closes:02/09/2025.

Class Starts:5th September 2025 (once 10 seats are filled).

Class Ends: 29th October 2025.

Contact us: Dr Rama Manna - Academic coordinator M: +919903542602 / Farha - Program Coordinator M: +919998301691

Account Details: Account number: 920020072908427, IFSC Code:- UTIB0000236 , AXIS BANK, DUNLOP (KOLKATA).

 You can pay by Gpay. UPI Address for payment: 9830010547@hdfcbank