Rabindrik Psychotherapy Research Institute Trust

Competence development before PhD enrollment is an important step because doctoral research requires much more than subject knowledge. A prospective PhD scholar should develop the following competencies before enrolling: 1. Research methodology: Understand qualitative, quantitative, and mixed-method research designs, sampling techniques, instrument development, validity, reliability, and ethics in research. 2. Literature review skills: Learn how to search scholarly databases, critically evaluate research articles, identify research gaps, and synthesize evidence into a coherent review. 3. Academic writing: Develop the ability to write research proposals, literature reviews, research reports, and manuscripts following academic standards such as APA style. 4. Statistical and qualitative data analysis: Gain competence in descriptive and inferential statistics, as well as qualitative analysis techniques such as thematic, narrative, and phenomenological analysis. Learn software such as R, Ja...

# Mixed-Methods Research: From Qualitative Inquiry to Quantitative Validation **Duration:** 30 Hours (15 Lectures × 2 Hours) ## Course Objectives Upon successful completion of the course, students will be able to: * Understand the principles of mixed-methods research. * Conduct qualitative analysis of textual data. * Develop codes, categories, and themes from qualitative findings. * Construct a questionnaire based on qualitative evidence. * Collect quantitative data from a defined population. * Analyze quantitative data and integrate qualitative and quantitative findings. * Prepare a mixed-methods research report. ## Module I: Introduction to Mixed-Methods Research (4 Hours) * Meaning and characteristics of mixed-methods research * Rationale for integrating qualitative and quantitative approaches * Sequential Exploratory Mixed-Methods Design (QUAL → quan) * Applications in psychology, education, literature, nursing, and social sciences ## Module II: Qualitative Phase – Textual Analysis...

Functions of the Academic Council, RPRIT Functions of the Academic Council, RPRIT The Academic Council shall function as the principal academic advisory body of RPRIT and shall advise the Board of Trustees on matters relating to academic development, research, training, and quality assurance. The Academic Council shall review and recommend proposals for certificate courses, training programmes, workshops, seminars, conferences, internships, and other academic activities. It may suggest revisions to curricula, learning outcomes, and assessment methods to maintain academic standards. The Council shall encourage research, innovation, interdisciplinary collaboration, and the dissemination of knowledge through publications and academic events. It may recommend academic collaborations and Memoranda of Understanding (MoUs) with educational, healthcare, research, and industrial organisations for consideration by the Board of Trustees. The Council shall p...

One-Month Certificate Course and Training in Foundations of Bibliotherapy (16 online lectures) 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 Background :About the trust: This trust is non-profitable registered academic trust of 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. Website : RPRIT Official Website What is Bibliotherapy? According to the American Psychological Association (APA), bibliotherapy is a therapeutic approach that uses structured reading materials to support psychotherapy, promote personal growth, facilitate communic...

Course Title: Basic Nursing Statistics Using MS Excel (16 Lectures) 2months online course Lecture 1: Introduction to Nursing Statistics, types of data, variables, and organization of hospital records in MS Excel. Lecture 2: Data entry, coding categorical variables (gender, age group, diagnosis, complaints), data cleaning, and validation in Excel. Lecture 3: Frequency distributions and percentage calculations for nursing data. Lecture 4: Creating tables and charts (bar charts, pie charts, column charts) for health data. Lecture 5: Descriptive statistics for numerical variables (mean, median, mode, standard deviation) using Excel functions. Lecture 6: Cross-tabulation (Pivot Tables) for demographic variables and mental health diagnoses. Lecture 7: Interpretation of contingency tables for nursing practice. Lecture 8: Chi-square test of association using Excel and interpretation of results. Lecture 9: Association between demographic variables and mental health complaints. Lecture 10:Associ...

Psychoinformatics: একটি গবেষণা-ধারণার জন্ম রাজাবাজার সায়েন্স কলেজে নিয়মিত মানসিক রোগীদের মূল্যায়ন করার সময় আমি একটি গুরুত্বপূর্ণ বিষয় লক্ষ্য করি। অনেক clinical symptoms বিভিন্ন psychiatric diagnostic categories-এর মধ্যে উল্লেখযোগ্যভাবে overlap করে। একই উপসর্গ একাধিক রোগে উপস্থিত থাকায় রোগ নির্ণয় (diagnostic classification) অনেক ক্ষেত্রে জটিল হয়ে ওঠে। এই পর্যবেক্ষণ থেকেই আমার মনে প্রশ্ন জাগে—এই symptom overlap-কে কি পরিসংখ্যানগতভাবে বিশ্লেষণ করে diagnosis-কে আরও সুসংগঠিতভাবে বোঝা সম্ভব? এই প্রশ্নের উত্তর খুঁজতে গিয়ে আমি একটি নতুন data-driven statistical model তৈরি করি, যার উদ্দেশ্য ছিল clinical symptoms এবং psychiatric diagnostic categories-এর মধ্যে correspondence বা association বিশ্লেষণ করা। এই পদ্ধতিতে কোনো standard questionnaire ব্যবহার করা হয় না, কোনো hypothesis testing বা statistical significance test অপরিহার্য নয়, এবং গবেষকের পরীক্ষামূলক নিয়ন্ত্রণও থাকে না। তথ্য আসে রোগীদের বিদ্যমান clinical records থেকে, যা মূলত unstructured clinical data। এই unstructured data-কে বিশ্...