Research Methods in Business Question Bank


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Concepts:-

1) Basic research

2) Corporate research

3) Socio-economic classification

4) Delphi technique

5) Audit and its types

6) Rank order scale

7) Desk research

8 ) Double-barereled questions

9) Field investigation

10) Depth interview

11) Types of response error/sampling error

12) Census survey and sample survey

13) Probability v/s non-probability sampling

10 mks:-

1) Elements of research report and its evaluation

2) Guidelines to present the findings of the report

3) Steps of report writing process

4) Sampling process with examples

5) Systematic and convenience sampling – advantages and disadvantages

6) Steps for analyzing and processing raw data

7) Steps in marketing research process with examples

8 ) Types of research design with examples

9) Types of errors in MR process

10) Test marketing

11) Types of questionnaires with advantages and disadvantages

12) Rules for designing good questionnaire

13) Steps and precautions for a questionnaire

14) MDSS and its use in MR

15) Bayesian decision theory and its role in new product development

16) Scope of MR with examples

17) Uses or importance of MR

18 ) Advantages and disadvantages of MR

19) Scaling techniques and measurement scales with examples

20) Focus group and its application

21) Observation – types, advantages and disadvantages

22) Experimentation – types and factors

23) Consumer panels- advantages, types and applications

24) Major elements of MIS for retail mall chain and college alumni office

25) Diff b/w basic and applied research giving 2 examples each

26) Diff b/w qualitative research and quantitative research with examples and application

27) Diff b/w semantic differential scale and likert scale. Steps for developing semantic scale of a foreign bank

28 ) Dist b/w regression and correlation analysis. How is regression analysis useful in MR

29) Role of experimentation in casual research and its methods.

Short notes:-

1) Consumer orientation to MR

2) Forecasting techniques

3) Paired comparison tests

4) Conjoint analysis

5) Multivariate techniques

6) Sources of secondary data

7) Types of open ended questions

8 ) Telephone survey

9) Omnibus panel / panel research

10) Projective techniques

11) Ratio scale

12) Types of scale

13) Multi-dimensional scaling

14) Chi-square tests

15) Hypothesis testing – steps, types

16) Bivariate analysis

17) Z-test and t- test

18 ) ANOVA

19) Discriminant analysis

20) Hall test, central location test

21) Non probability sampling

22) Central tendency of data

23) Factor analysis

24) Cluster analysis
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