Research Methodology: Quantitative Methods and Computer Application

via Swayam

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ABOUT THE COURSE:This course is designed to provide an advanced and comprehensive understanding of research methodology, equipping Fourth/Final Year Graduation Honours/Research (FYUP) Students/Post Graduation and PhD Students with the theoretical and practical tools necessary for rigorous academic inquiry. It delves into sophisticated research paradigms, critical analysis, and methodological frameworks essential for producing high-quality doctoral research. The course aims to cultivate expertise in research design, data interpretation, and scholarly writing, preparing students to contribute original knowledge to their respective disciplines.INTENDED AUDIENCE:Fourth/Final Year Graduation Honours/Research (FYUP) Students/Post Graduation and PhD Students.This course is designed for a wide range of learners and professionals, including:Corporate Interns/professionals working in MNCsResearch & Development (R&D) Interns/professionalsData analysts, business analysts, and market researchersGovernment Interns/professionals/officers and policy analystsNGO and social-sector Interns/professionals working on evidence-based projectsHealthcare, public health, and clinical research workers/Interns/professionalsEducation and academic Interns/professionals/professionals involved in research and evaluationConsultants, trainers, and industry Interns/professionals/researchersPREREQUISITES:P.G./ PhD ContinuingINDUSTRY SUPPORT:None

Syllabus

Week 01- The Scientific Research
Lecture 01: History of Scientific ThoughtLecture 02: Paradigms of Social ResearchLecture 03: Ontology and EpistemologyLecture 04: Overview of the Research ProcessLecture 05: Common Mistakes in Research
Week 02- Systematic Literature Review and Randomised Control Trials
Lecture 06: Systematic Literature ReviewLecture 07: Comparison of Various Types of Literature ReviewsLecture 08: Examples of a Systematic Literature ReviewLecture 09: Randomised Control Trials (RCT)Lecture 10: Examples of Randomised Controlled Trials
Week 03- Theory and Practice in Research
Lecture 11: Theories in Scientific ResearchLecture 12: Research Methodology, Research Methods & Research TechniquesLecture 13: Likert Scale through SPSSLecture 14: Interpretive ResearchLecture 15: Interpretive Research Designs
Week 04- Qualitative Analysis
Lecture 16: Qualitative Analysis & Grounded TheoryLecture 17: Qualitative Analysis & Grounded Theory through NVivoLecture 18: Content AnalysisLecture 19: Content Analysis and Practical through NVivoLecture 20: Sentiment Analysis and Practical through NVivo
Week 05- Descriptive Statistics: Measures of Central Tendency
Lecture 21: Descriptive and Inferential StatisticsLecture 22: MeanLecture 23: MedianLecture 24: ModeLecture 25: Other Averages: Geometric and Harmonic Means
Week 06- Measures of Variability
Lecture 26: DispersionLecture 27: RangeLecture 28: The Interquartile Deviation (I.Q.D)Lecture 29: Mean DeviationLecture 30: Standard Deviation
Week 07- Measures of Relation
Lecture 31: Scatter Plot, Cross Tabulation and Chi SquareLecture 32: Nominal Measures of AssociationLecture 33: Ordinal Measures of AssociationLecture 34: Interval/Ratio Measures of AssociationLecture 35: Finding Correlation through SPSS
Week 08- Other Descriptive Measures
Lecture 36: SkewnessLecture 37: KurtosisLecture 38: Index NumbersLecture 39: Important IndicesLecture 40: Time Series
Week 09- Hypothesis TestingLecture 41: Summarizing Data Through SPSSLecture 42: Procedure for Hypothesis TestingLecture 43: t-test and z-testLecture 44: The One-Sample t-TestLecture 45: One-Sample t-Test through SPSS
Week 10- t-test
Lecture 46: Independent Samples t-testLecture 47: Independent Samples t-test through SPSSLecture 48: Dependent (Paired) Samples t-testLecture 49: Dependent (Paired) Samples t-test through SPSSLecture 50: t-test in Likert Scale through SPSS
Week 11- Analysis of Variance
Lecture 51: Analysis of Variance (ANOVA) – One WayLecture 52: Analysis of Variance (ANOVA) – One Way through SPSSLecture 53: Analysis of Variance (ANOVA) – Two WayLecture 54: Analysis of Variance (ANOVA) – Two Way through SPSSLecture 55: Hypothesis Testing in Chi Square
Week 12- Regressional Analysis
Lecture 56: Hypothesis Testing for CorrelationLecture 57: Regression AnalysisLecture 58: Regression Analysis through SPSSLecture 59: Logistic RegressionLecture 60: Logistic Regression through SPSS