Business Research Methods : MBA 108

Lecture No. Description Lecture By
Lecture 1  Introduction to Business Research Lecture by Dr. Sandeep Kumar,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 2  Type of Research Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 3  Process of Research Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 4  Formulation of the Research Problem Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 5  Concept of Hypothesis, Development of the Research Hypotheses Lecture by Dr.Sandeep Kumar,    Lecture by Dr.Sandeep Kumar,    Lecture by C,    Lecture by D
Lecture 6  Types of Hypotheses Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 7  Research Design-Definition, Functions Lecture by Dr. Sandeep Kumar,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 8  Types of Research Design-Exploratory, Descriptive & experimental Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 9  Experimental Research Design – Pre-experimental, Quasi-experimental Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 10  Experimental Research Design-True experimental, Statistical application of various Research Designs Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 11  Validity of research instruments-face & content Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 12  Construct Validity; Readability of Research Instruments Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 13  Internal Consistency Procedures Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 14  Methods of Data collection-Primary & Secondary Sources Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 15  Concept of Attitude Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 16  Attitude Scales Likert, Thurstone Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 17  Guttman Scales Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 18  Concept of Questionnaire Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 19  Types of Questionnaire Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 20  Questionnaire Designing Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 21  Concept of Sampling Lecture by Dr. Sandeep Kumar,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 22  Concept of Sampling Design Lecture by Dr.Sandeep Kumar,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 23  Types of Sampling Design-Probability, Non-probability Lecture by Dr.Sandeep Kumar,    Lecture by Dr.Sandeep Kumar,    Lecture by C,    Lecture by D
Lecture 24  Various Probability Sampling Design Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 25  Various Non-Probability Sampling Design Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 26  Mixed Sampling Designs Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 27  Sampling Frame Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 28  Sample Size Determination Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 29  Data Processing Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 30  Data Editing, Coding Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 31  Use of Tabulation in Data Processing Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 32  Data analysis-Univariate, bivariate Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 33  Multivariate Data Analysis Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 34  Hypothesis Testing-Concept Lecture by Dr.Sandeep Kumar,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 35  Types of Error Lecture by Dr.Sandeep Kumar,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 36  Steps in hypothesis testing Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 37  Parametric Tests Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 38  Non-Parametric Tests Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 39  Anova Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 40  Correlation Analysis, Regression Analysis Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 41  Chi-Square Test Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 42  Non-Parametric Tests for Normality Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 43  Runs Test Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 44  Advanced Data Analysis Techniques-Basic Concepts of Factor Analysis Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 45  Discriminate Analysis. Conjoint Analysis Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 46  Research Proposal Lecture by Dr.Sandeep Kumar,    Lecture by Dr.Sandeep Kumar,    Lecture by C,    Lecture by D