BUSINESS RESEARCH METHODOLOGY | UNIT 3 | DSE | SEM 6 | BCOM | DU/SOL/REGULAR/NCWEB

Unit 3: Data Collection that covers all the listed subtopics in a structured and engaging way: --- 📊 Unit 3: Data Collection | Research Methodology Simplified | Measurement, Scaling, Sampling & More 🎓 Welcome to another comprehensive video in our Research Methodology series! In this video, we dive deep into Unit 3: Data Collection, where we break down all the key concepts and techniques used in collecting, measuring, and analyzing data in research studies. ⏱️ Duration: 9 Hours (Theory-based) 📚 Syllabus Covered – Ideal for students, researchers, and exam aspirants! --- 🎯 What You'll Learn in This Video: 📏 1. Measurement and Scaling What is measurement in research? Types and importance of scaling. 🔢 2. Primary Scales of Measurement Nominal Scale – Classification without order. Ordinal Scale – Ranking with no fixed intervals. Interval Scale – Equal intervals without a true zero. Ratio Scale – All features including a true zero. 📐 3. Scales for Measurement of Constructs Likert Scale – Measuring attitudes with levels of agreement. Semantic Differential Scale – Rating on a bipolar scale. Staple Scale – Simplified bipolar scale with numeric values. ✅ 4. Reliability and Validity What makes a research tool consistent (reliable) and accurate (valid)? Types of reliability: test-retest, inter-rater, internal consistency. Types of validity: content, criterion, construct. 📊 5. Sources of Data Primary Data – Collected directly from the source. Secondary Data – Already available data from previous studies, websites, reports, etc. 📝 6. Questionnaire Design Key principles of crafting effective questionnaires. Question types, order, clarity, and neutrality. Use of online tools like Google Forms, SurveyMonkey, etc. 🌍 7. Census and Survey Method Census – Data from the entire population. Survey – Data from a selected sample. Pros, cons, and when to use each. 🎲 8. Sampling Techniques Probability Sampling – Random, Stratified, Systematic, Cluster. Non-Probability Sampling – Convenience, Judgmental, Snowball, Quota. Real-life examples and use cases. 📏 9. Sample Size Determination Factors affecting sample size. Importance of representativeness. Basic methods to calculate sample size. --- 📌 Why Watch This Video? ✔️ Simplified explanations with examples ✔️ Helpful for research projects, dissertations & exams ✔️ Visual aids & diagrams included ✔️ Beginner-friendly and aligned with academic syllabi 📥 Don’t forget to Like, Comment, Share, and Subscribe for more educational content! 🔔 Turn on the bell icon to stay updated with our latest uploads. #DataCollection #ResearchMethodology #MeasurementAndScaling #SamplingTechniques #QuestionnaireDesign #AcademicLearning #UGPGCourses #ExamPrep