Pre-PhD Training Program: Foundation of Statistics for Social Science Research

Pre-PhD Training Program: Foundation of Statistics for Social Science Research
Duration: 3 Months | Total Hours: 30 | Mode: Online | Total Seats Available: 30
Designed by: RPRIT
Target Group: Pre-PhD aspirants in Psychology, Education, Management, allied Social Sciences
Prerequisite: No prior statistical background required
Objectives
• To develop conceptual clarity on statistical foundations.
• To enable the learners to differentiate between parametric and non-parametric approaches.
• To foster hands-on experience with real datasets.
• To build confidence in hypothesis testing and data interpretation.
• To prepare students for advanced statistical tools in PhD-level research.
Syllabus Structure (5 Modules)
Module 1: Understanding the Basics (Week 1–2)
   - Nature and types of data
   - Measurement scales: Nominal, Ordinal, Interval, Ratio
   - Concepts of population, sample, parameters, statistics
   - Descriptive statistics: Mean, Median, Mode, SD, Range, IQR
   - Hands-on activity: Summary statistics from a dataset
Module 2: Data Distribution & Visualization (Week 3–4)
   - Frequency distribution and histogram
   - Normal curve and its importance
   - Skewness & Kurtosis
   - Visual tools: Pie chart, bar chart, boxplot (using MS Excel or R)
   - Hands-on activity: Visualization and interpretation
Module 3: Inferential Statistics – Parametric Tests (Week 5–6)
   - Concept of hypothesis testing
   - t-tests (one-sample, independent, paired)
   - One-way ANOVA
   - Effect size and confidence intervals
   - Hands-on activity: Apply t-test/ANOVA on given data
Module 4: Non-Parametric Statistics (Week 7–8)
   - When to use non-parametric methods
   - Chi-square test, Mann-Whitney U, Wilcoxon Signed-Rank Test
   - Kruskal-Wallis Test
   - Comparison with parametric results
   - Hands-on activity: Non-parametric test analysis
Module 5: Application & Report Writing (Week 9–12)
   - Choosing the right statistical test
   - Data cleaning basics
   - Writing statistical results in APA style
   - Use of psych package (R) for psychometric data
   - Report writing on real dataset (provided by RPRIT)
   - Final presentation by each participant
Eligibility Criteria
• Completed Postgraduate degree in Psychology/Education/Social Sciences
• Keen interest in pursuing PhD-level research
Registration Fee (with Installment Option)
General Participants: ₹6000 (60% at registration = ₹3600, 40% before 2nd month = ₹2400)
RPRIT Alumni/Earlier Students: ₹5500 (60% at registration = ₹3300, 40% before 2nd month = ₹2200)
Fee includes: E-certificate, datasets, recorded classes, and training resources.
Evaluation Structure
Month 1: Quizzes, Conceptual Clarity – 20%
Month 2: Assignments on Analysis – 30%
Month 3: Report & Presentation – 50%
Admission test
Sample Questions
Section A: Logical Reasoning (5 Questions)
If ALL BOOKS are PENS, and SOME PENS are TOYS, which of the following is definitely true?
a) All toys are books
b) Some pens are books
c) All books are toys
d) No toy is a pen

Complete the series: 3, 6, 11, 18, ___
a) 27
b) 25
c) 24
d) 22

A person faces north, then turns right, then again right, and then left. Which direction is the person facing now?
a) East
b) South
c) West
d) North

Section B: Language Comprehension (5 Questions)
Read the passage and answer:
"Statistics is the grammar of science. It helps in interpreting data meaningfully. Even in social sciences, understanding statistics is essential for making sense of human behavior patterns."

According to the passage, statistics helps in:
a) Eliminating science
b) Studying animals
c) Interpreting data
d) Teaching grammar

Which field besides science benefits from statistics, according to the passage?
a) Agriculture
b) Social Sciences
c) Engineering
d) Astronomy

Section C: Research Aptitude (5 Questions)
What is a hypothesis?
a) A fact
b) A mathematical formula
c) A testable statement or assumption
d) A method of data collection

In research, a sample refers to:
a) The whole population
b) A group selected from the population
c) A set of formulas
d) The conclusion

Which of the following is NOT a scale of measurement?
a) Nominal
b) Rational
c) Interval
d) Ordinal

A review of previous studies is called:
a) Data analysis
b) Hypothesis testing
c) Literature review
d) Methodology

Which one is a non-numerical type of data?
a) Temperature in Celsius
b) Age in years
c) Gender
d) Income in rupees

Budget
Here is the extended content for your **Pre-PhD Training Syllabus** document, covering:

---

### **👩‍🏫 Eligibility of Resource Persons**

* Must hold a **PhD in Psychology, Education, Social Work, or Statistics**.
* Should have a **minimum of 3 years of teaching or research supervision experience** at postgraduate level.
* Preferably published in **peer-reviewed journals** in the areas of quantitative or mixed-methods research.
* Experience in using **R, SPSS, or Excel** for statistical analysis is highly desirable.
* Prior involvement in **PhD guidance**, **capacity-building workshops**, or **statistical consultation** will be an added advantage.

---

### **📊 Budget Proposal for the Training Program (For 30 Participants)**

**Title:** *Pre-PhD Training Program: Foundation of Statistics for Social Science Research*
**Duration:** 3 Months (Online)
**Total Intake:** 30 Participants

| **Budget Head** | **Amount (INR)** |
| ------------------------------------------- | ---------------- |
| Honorarium for Resource Persons | ₹30,000 |
| Course Coordinator (Admin & Evaluation) | ₹10,000 |
| Technical Support (Recording, LMS, etc.) | ₹5,000 |
| Study Material Development | ₹5,000 |
| Certificates, Communication & Miscellaneous | ₹4,000 |
| Contingency | ₹1,000 |
| **Total Estimated Budget** | **₹55,000** |

> 💡 **Note**: With 30 students @ ₹6000, the program will generate ₹1,80,000 in revenue. After expenses, the remaining surplus can be used for RPRIT academic development, research support, or scholarships.

📘 Pre-PhD Training Program
Foundation of Statistics for Social Science Research



🔹 Organized by: Rabindrik Psychotherapy Research Institute Trust (RPRIT)
🔹 Duration: 3 Months | Total Hours: 30 | Mode: Online
🔹 Intake: 30 Seats Only



📌 Why Join This Course?
✔ Build strong conceptual clarity on statistics without fear.
✔ Learn parametric & non-parametric methods through real datasets.
✔ Prepare for PhD-level research in Psychology, Education & Social Sciences.
✔ Certificate from RPRIT and mentorship by experienced researchers.



🧠 Course Modules
✔ Module 1: Basics – Data types, Measures, Descriptive Stats
✔ Module 2: Visualization – Histogram, Boxplot, Normal Curve
✔ Module 3: Parametric Tests – t-test, ANOVA, Confidence Intervals
✔ Module 4: Non-Parametric Tests – Chi-square, Mann-Whitney U
✔ Module 5: Application – Data Cleaning, APA Report Writing, Presentation



📝 Admission Test
An online admission test is mandatory. It evaluates logical reasoning, language comprehension, and research aptitude.



💰 Course Fee & Installment Option
• General: ₹6000 (Installment: ₹3600 + ₹2400)
• RPRIT Alumni: ₹5500 (Installment: ₹3300 + ₹2200)



🎓 Eligibility of Participants
• Completed PG in Psychology/Education/Social Sciences
• Interest in PhD research



👩‍🏫 Resource Persons
• PhD with teaching/research experience & statistical expertise



📆 Important Dates
✔ Last Date of Registration: [To be Announced]
✔ Admission Test Date: [To be Announced]
✔ Course Start Date: [To be Announced]



📨 Contact & Registration
To register, visit: [Insert Registration Link]
Email: rprit.india@gmail.com | WhatsApp: [Insert Contact Number]









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