| Unit 1 [Book] | |
| Introduction, Meaning, Definition, Importance and Objective of Research | VIEW |
| Meaning, Characteristics and Scope of Business Research | VIEW |
| Types of Research: | |
| Exploratory Research | VIEW |
| Descriptive Research | VIEW |
| Casual Research | VIEW |
| Qualitative and Quantitative Research | VIEW |
| Applied and Basic Research | VIEW |
| Research approaches (Induction and Deduction) | VIEW |
| Ethical issues in Research | VIEW |
| Steps in Research Process | VIEW |
| Research Problem formulation, Criteria of Good Research Problem, Sources of Problems | VIEW |
| Selection and Definition of Research Objectives | VIEW |
| Unit 2 [Book] | |
| Meaning, Importance and Purpose of Literature Review | VIEW |
| Types of Literature Review (Narrative review, Systematic review, Meta-analysis, Scoping review) | VIEW |
| Sources of Literature (Primary, Secondary, Tertiary and Digital Sources) | VIEW |
| Steps in Conducting Literature Review | VIEW |
| Analyzing and Synthesizing the Literature | VIEW |
| Writing the Literature Review | VIEW |
| List of AI Tools used for Literature Review | VIEW |
| Benefits of AI Tools in Literature Review | VIEW |
| Research gaps and its Types (Concepts only) | VIEW |
| Unit 3 [Book] | |
| Meaning and Components, Objectives, Problems of Research Design | VIEW |
| Variables, Meaning, Types of Variables (Dependent, Independent, Control, Mediating, Moderating, Extraneous, Numerical and Categorical Variables) | VIEW |
| Types of Research Design: | |
| Exploratory Research | VIEW |
| Descriptive Research | VIEW |
| Causal Research | VIEW |
| Components of Research Design | VIEW |
| Meaning of Variable, Types of Variables (Dependent, Independent, Discrete, Continuous, Extraneous Control, Mediating, Moderating, Numerical, Categorical) | VIEW |
| Sampling: Meaning, Sampling Frame, Sampling Error, Sample size, Characteristics of a good Sample | VIEW |
| Types of Sampling: Probability and Non-Probability | VIEW |
| Sampling and Non sampling errors | VIEW |
| Hypotheses Formulation, Meaning, Characteristics of Hypothesis Basics concepts relating to hypothesis testing, Types | VIEW |
| Unit 4 [Book] | |
| Data Collection: Meaning, Data Collection Techniques | VIEW |
| Primary and Secondary Data: Meaning, Sources, and Differences | VIEW |
| Methods of Primary Data Collection: Observation, Interview, Questionnaire, and Survey | VIEW |
| Methods of Secondary Data Collection (Existing datasets, Literature, reports, Journals) | VIEW |
| Secondary Data Collection Government Portals (MOSPI, RBI, SEBI) | VIEW |
| Secondary Data Collection Reports (CMIE, ASSOCHAM, FICCI), Journals, News Archives | VIEW |
| Errors in Data Collection | VIEW |
| AI-Powered Tools for Data Collection: Chatbots and Smart Surveys, Google Forms, Typeform, KoboToolbox | VIEW |
| Hypothesis Testing: Steps involved in testing of hypothesis- Level of significance- Chi Square Test- T-Test- Z-Test- Using Excel/SPSS. | VIEW |
| Unit 5 [Book] | |
| Meaning, Steps in data analysis | VIEW |
| Classification and Tabulation (Concepts only) | VIEW |
| Types of Data Analysis: Descriptive, Inferential, Qualitative, Quantitative | VIEW |
| Basic descriptive tools in Excel or SPSS: | |
| Mean | VIEW |
| Median | VIEW |
| Mode | VIEW |
| Standard Deviation | VIEW |
| Graphical Representations using Excel/SPSS Bar Charts, Pie Charts, Histograms | VIEW |
| Introduction to AI tools for analysis: ChatGPT (for qualitative summaries), MonkeyLearn, Orange Data Mining | VIEW |
| Report Writing, Meaning and Purpose of Report Writing | VIEW |
| Types of Research Reports | VIEW |
| Report Sections: Abstract, Introduction, Methodology, Data Analysis, Conclusion | VIEW |
| Writing Bibliography: APA and MLA format Bibliography | VIEW |
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