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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