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Research Aptitude |PREVIOUS YEAR QUESTIONS PART-1 | ಸಂಶೋಧನಾ ಸಾಮರ್ಥ್ಯ|KSET&UGC NET PAPER1 @Physics_hub_25|KSET2025 Explore the physics with "PHYSICS HUB🎯" Your Ultimate Physics Preparation Zone. Whether you're preparing for CSIR UGC NET, GATE, IIT JAM, JEST, KSET, MHSET, BARC, this page is your one-stop destination for: 📘 Previous Year Question Papers (PYQs) – Solved with full explanations 🧠 Conceptual Breakdowns – From basics to advanced topics 🎯 Exam Strategies & Tips – To help you score smarter 📊 Topic-Wise Posts – For faster revision 🎥 Reels + Quizzes – Learn on the go ✨ Go beyond textbooks and explore the fascinating world of physics like never before. Stay tuned for mind-blowing concepts, problem-solving techniques, and everything you need to ace your exams. We simplify complex physics so you can learn fast, revise smart, and crack tough exams with confidence . 📩 DM for doubts, suggestions, or collabs. 📍 Follow now and turn your physics fear into power. 🔗 Follow for more updates 🚀💫 Instagram: https://www.instagram.com/physics_hub... WhatsApp channel: https://whatsapp.com/channel/0029Vb6C... Telegram Channel: https://t.me/Physics_hub_25 Research Aptitude for KSET and UGC NET Paper 1 preparation — organized by key areas and concepts: 🧠 1. Basics of Research Meaning of research Characteristics of research Types of research (Basic, Applied, Action, Experimental, Descriptive, Analytical, Qualitative, Quantitative) Research process / steps in research Research problem identification Hypothesis formulation Research design 📊 2. Methods of Research Experimental method Historical method Descriptive method Survey method Case study method Content analysis Ethnographic research Correlational research 📚 3. Research Ethics and Integrity Plagiarism Ethical issues in research Copyright and intellectual property rights (IPR) Informed consent Academic integrity 💡 4. Data Collection and Sampling Primary and secondary data Data collection tools (Questionnaire, Interview, Observation, Schedule) Sampling methods (Random, Stratified, Cluster, Systematic, Purposive, Convenience) Population and sample Measurement scales (Nominal, Ordinal, Interval, Ratio) 🧮 5. Data Analysis and Interpretation Quantitative analysis Qualitative analysis Use of statistics in research Mean, Median, Mode Standard deviation, Variance Correlation, Regression Chi-square test, t-test, ANOVA (basic understanding) Data interpretation techniques 💻 6. Research Tools and ICT Use of ICT in research Online databases (JSTOR, Scopus, Google Scholar, etc.) Reference management tools (Zotero, Mendeley, EndNote) Software for data analysis (SPSS, R, Excel) 🧾 7. Research Reporting and Documentation Structure of a research report/thesis Abstract, Introduction, Literature Review, Methodology, Results, Discussion, Conclusion, References Citation styles (APA, MLA, Chicago, etc.) Bibliography vs References Format of research papers and proposals 🏛️ 8. Research Funding and Publication Research funding agencies (UGC, ICSSR, DST, CSIR, etc.) Peer-reviewed journals Impact factor Open access journals Conference proceedings 📖 9. Logical Reasoning in Research Deductive and inductive reasoning Arguments and assumptions Cause and effect relationships Critical thinking in research 🧩 10. Miscellaneous / Revision Tags Variables (Independent, Dependent, Control) Validity and reliability Objectivity in research Triangulation Limitations and delimitations of research