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  UNIT 1 Research  
1 Research – Definition, Meaning, Importance Types and Qualities of Research VIEW
2 Research Application in Functional Area of Business VIEW
3 Emerging Trends in Business Research VIEW
4 Research and the Scientific Method VIEW
5 Characteristics of Scientific Method VIEW
6 Steps in Research Process VIEW
7 Concept of Scientific Inquiry VIEW
8 Formulation of the Research problem VIEW
9 Management Question, Research Question, Investigation Question VIEW
10 Research Proposal – Element of Research Proposal VIEW
11 Drafting a Research Proposal VIEW
12 Evaluating a Research Proposal VIEW
  UNIT 2 Research Design  
1 Research Design, Feature of a Good Research Design VIEW
2 Use of a Good Research Design – Qualitative and Quantitative Approach VIEW
3 Comparison Pros and Cons of Qualitative and Quantitative Research VIEW
4 Exploratory Research – Concept, Types VIEW
5 Qualitative Techniques – Projective Techniques, Depth Interviews, Experience survey, Focus Groups, Observation VIEW
6 Descriptive Research Design – Concept, Types and Uses VIEW
7 Concept of Cross Sectional and Longitudinal Research VIEW
8 Experimental Design – Concept of Cause VIEW
9 Causal Relationship VIEW
10 Concept of Independent and Dependent Variable VIEW
11 Concomitant Variable, Extraneous Variable, Treatment and Control Groups VIEW
  UNIT 3 Scaling and Measurement Technique  
1 Scaling and Measurement Techniques – Needs of Measurement VIEW
2 Problem in Measurement in Management Research VIEW
3 Level of Measurement – Nominal, Ordinal, Interval, and Ratio VIEW
4 Attitude Scaling Techniques- Concept of Scale – Rating Scales Viz. Likert Scales VIEW
5 Semantic Differential Scales VIEW
6 Constant Sum Scale VIEW
7 Graphic Rating Scale VIEW
8 Ranking Scale VIEW
  UNIT 4 Sampling  
1 Sampling- Basic Concept- Defining the Universe VIEW
2 Concept of Statistical Population VIEW
3 Sample, Characteristics of a Good Sample VIEW
4 Sampling Frame (Practical Approach for Determining the Sample Frame Expected) VIEW
5 Sampling Errors, Non-Sampling Errors, Methods to Reduce the Error VIEW
6 Sample Size Constraints, Non-Response VIEW
7 Probability Sampling VIEW
8 Types of Probability Sampling- Simple random sampling, Systematic Sampling, Stratified Random sampling, Area sampling, Cluster Sampling VIEW
9 Non Probability Sample VIEW
10 Types of Non-Probability Sampling – Judgmental or Purposive Sampling, Convenience Sampling, Quota Sampling, Snowball Sampling, Consecutive Sampling VIEW
11 Determining Size of the Sample – Practical Considerations in Sampling and Sample Size VIEW
  UNIT 5 Data Analysis  
1 Data Analysis- Editing, Coding, Tabular Representation of Data VIEW
2 Frequency Tables, Construct a Frequency Distribution VIEW
3 Graphical Representation of Data- Appropriate Usages of Bar Chart, Pie Charts, Histogram VIEW
4 Hypothesis – Framing Null Hypothesis and Alternative Hypothesis VIEW
5 Concept of Hypothesis Testing – Logic and Importance VIEW
6 Tests of Significance- Small Sample Test VIEW
7 T-Test (Mean, Proportion) VIEW
8 F- Test, Z – Test VIEW
9 Cross Tabulation, Chi-Squared Test VIEW
10 Analysis of Variance- One Way and Two Way Classifications VIEW
11 Mechanism of Report Writing VIEW
12 Report Preparation VIEW
13 Types of Report VIEW
14 Report Structure- Preliminaries Section, Main Report VIEW
15 Interpretation of Results, Suggestion and Recommendations VIEW

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