KMBN203 BUSINESS RESEARCH METHOD UNIT 1 RESEARCH Definition and Meaning of Research, Importance and Types and Qualities of Research Types of Research,Qualities of Good Research,Research Application in a functional area of Business Emerging Trends in Business Research,Research and the scientific method Characteristics of the scientific method,Steps in Researches process, Concept of Scientific Inquiry Formulation of the research problem,Research Proposal: Element of Research Proposal,Drafting a Research Proposal,Evaluating the Research Proposal UNIT 2 RESEARCH DESIGN Research Design,Feature of Good Research Design,Use of Good Research Design: Qualitative and Quantitative Approach Comparison Pros and Cons of Qualitative and Quantitative Research,Exploratory Research Concept, Types Qualitative Techniques Project Techniques,Depth Interviews, Experience Surveys, Focus Groups, Observations Descriptive Research Design Concept,Descriptive Research Design Types and Uses,Concept of Cross-Sectional and Longitudinal Research Experimental Design Concept of Cause,Concomitant Variable, Extraneous Variable, Treatment and Control Group UNIT 3 Scaling and Measurment technique Scaling and Measurement Technique: Needs of Measurement,The problem in Measurement and Management Research: Validity and Reliability Level of Measurement: Nominal, Ordinal, Interval, and Ratio.Attitude Scaling Technique: Concept of Scale, Rating Scale Viz, Likert Scale Semantic Differential Scales,Constant Sum Scale,Graphic Rating Scale Ranking Scale,Paired Comparison: and Forced Ranking Concept and Application UNIT 4 Sampling Sampling basic Concept: Defining the Universe,Concept of Statistical Population Sample, Characteristics of the good Sample,Sampling Frame( Practical Approach For determining the sample frame Expected Sampling Error,Sample Size Constraint Non Sample,Non Response,Probability Sampling Types of Probability Samplling,Simple Random Sampling,Systematic Sampling,Stratified Random Sampling Area Sampling, Cluster Sampling Non Probability Sampling,Types of Non-Probability Sampling,Determining Size of the Sample,Practical Considering Sampling Sample Size UNIT 5 DATA ANALYSIS Data Analysis: Editing Coding Tabular Representation of Data Frequency Tables : Construct A Frequency Distribution Graphical Representation of Data: Appropriate Usages of Bar Charts, Pie Charts, Histogram Hypothesis: Framing Null Hypothesis and Alternative Hypothesis Concept of Hypothesis Testing: Logic and Importance ,T-Test, Mean ProportionTesting of Significance: Small Sample Test F-TEST, Z-TEST, Cross Tabulation, Chi-Squared Test,Analysis of Variance: One-Way and Two-Way Classification,Mechanism of Report Writing Report preparations,Types of Report,Report Structure: Preliminaries Section ,Main Report,Interpretation of Results Suggestions and Recommendations
