Home Marketing Research : BBA-206

Marketing Research : BBA-206

Lecture SeriesDescriptionLecture By
Lecture 1 Marketing ResearchLecture by Ms. Kriti Miglani,    Lecture by Ms. Kriti Miglani,    Lecture by C,    
Lecture 2 Formulating ResearchLecture by Ms. Kriti Miglani ,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 3Choice of Research DesignLecture by Ms. Kriti Miglani,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 4Types of Research Design,Research Terms ConstructLecture by Ms. Kriti Miglani,    Lecture by Dr. Monisha,    Lecture by C,    Lecture by D
Lecture 5Groups and data seriesLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 6ConceptionLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 7 ConstructLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 8 Attributes,Attributes and VariablesLecture by Dr. Monisha,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 9 VariablesLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 10HypothesisLecture by Dr. Monisha,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 11 Research Process: An OverviewLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 12Problem identification and DefinitionLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 13Selection of Basic research methods- Field studyLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 14Laboratory Study, Survey MethodLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 15 Observational MethodLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 16Existing Data Based ResearchLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 17 Longitudinal StudiesLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 18Panel StudiesLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 19 Questionnaire DesignLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 20 Measurement: Definition, Designing and writing itemsLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 21Unidimensional and multi dimensional scaleLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 22Measurement Scales: Nominal, Odinal, Interval, RatioLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 23 Rating and Ranking ScaleLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 24 Thurstone, Likert and Semantic Differential Scaling, Paired ComparisonLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 25Reliability and Validity ScaleLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 26Sampling- Steps, Types, Sample Size DecisionsLecture by Dr. Kirti Miglani ,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 27Secondary Data SourcesLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 28Hypothesis Testing: Test concerning Means and PropositionsLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 29ANOVALecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 30Chi Square test and other non parametric testsLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 31Report Preparation: Meaning, TypesLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 32Layout of Research ReportLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 33Steps in Report WritingLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 34 Citations, Bibliography and Annexure in ReportLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 35 JEL ClassificationLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 36 Computerized Data Analysis: An OverviewLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 37Computerized Data Analysis: FeaturesLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 38Role of computerized data analysisLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 39Advanced ExcelLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 40SPSS or any other analytical softwareLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 41Research ProposalLecture by Dr.Sandeep Kumar ,    Lecture by B,    Lecture by C,    Lecture by D
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