Marketing Research : BBA-206

Lecture Series Description Lecture By
Lecture 1  Marketing Research Lecture by Ms. Kriti Miglani,    Lecture by Ms. Kriti Miglani,    Lecture by C,    
Lecture 2  Formulating Research Lecture by Ms. Kriti Miglani ,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 3 Choice of Research Design Lecture by Ms. Kriti Miglani,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 4 Types of Research Design,Research Terms Construct Lecture by Ms. Kriti Miglani,    Lecture by Dr. Monisha,    Lecture by C,    Lecture by D
Lecture 5 Groups and data series Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 6 Conception Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 7  Construct Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 8  Attributes,Attributes and Variables Lecture by Dr. Monisha,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 9  Variables Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 10 Hypothesis Lecture by Dr. Monisha,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 11  Research Process: An Overview Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 12 Problem identification and Definition Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 13 Selection of Basic research methods- Field study Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 14 Laboratory Study, Survey Method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 15  Observational Method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 16 Existing Data Based Research Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 17  Longitudinal Studies Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 18 Panel Studies Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 19  Questionnaire Design Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 20  Measurement: Definition, Designing and writing items Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 21 Unidimensional and multi dimensional scale Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 22 Measurement Scales: Nominal, Odinal, Interval, Ratio Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 23  Rating and Ranking Scale Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 24  Thurstone, Likert and Semantic Differential Scaling, Paired Comparison Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 25 Reliability and Validity Scale Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 26 Sampling- Steps, Types, Sample Size Decisions Lecture by Dr. Kirti Miglani ,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 27 Secondary Data Sources Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 28 Hypothesis Testing: Test concerning Means and Propositions Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 29 ANOVA Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 30 Chi Square test and other non parametric tests Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 31 Report Preparation: Meaning, Types Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 32 Layout of Research Report Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 33 Steps in Report Writing Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 34  Citations, Bibliography and Annexure in Report Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 35  JEL Classification Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 36  Computerized Data Analysis: An Overview Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 37 Computerized Data Analysis: Features Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 38 Role of computerized data analysis Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 39 Advanced Excel Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 40 SPSS or any other analytical software Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 41 Research Proposal Lecture by Dr.Sandeep Kumar ,    Lecture by B,    Lecture by C,    Lecture by D