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The MR process

The MR process. Formulating the problem Determining the research design Preparation for the field work. Implementing the field work Process the data Tabulation and analysis Prepare the report. The steps. Types of MR. Quantitative Qualitative. Filling in the gaps in knowledge

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The MR process

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  1. The MR process

  2. Formulating the problem Determining the research design Preparation for the field work Implementing the field work Process the data Tabulation and analysis Prepare the report The steps

  3. Types of MR • Quantitative • Qualitative

  4. Filling in the gaps in knowledge Concept identification and exploration Identify relevant behaviour patterns Identify attitudes, beliefs, opinions To shortlist options where a large no. of options exist Assessing comprehension, likeability, memory of business communication Uses of MR

  5. It is not an exact science Appreciation of the fact that there would be a difference from test conditions to actual practice MR depends on responses. This can change depending on test conditions. Validation is a problem. Element of subjectivity. Biases can creep in owing to lesser skill of the MR team Inadequate preparation and analysis can lead to erroneous conclusions Lack of motivation due to MR not being appreciated by many companies Limitations of MR

  6. Formulating the problem • What is the marketing problem? • Translate it to the research problem

  7. The research design It is a blueprint for the rest of the research process • What information? • Which instrument? • What sampling plan?

  8. Types of Research Designs • Exploratory • Descriptive • Experimental • Historical • Simulation

  9. Exploratory Research • Literature surveys • Experience surveys • Analysis of selected cases

  10. Descriptive Research • Case research • Statistical

  11. Experimental Research • Manipulating one variable in a controlled environment, while holding all other variables constant

  12. Historical Research design • Regression • Trend analysis • Time – series analysis

  13. Simulation • Imitation of a real world situation

  14. Types of data • Primary – observation, experimentation, survey • Secondary – published information, guides, syndicated studies, technical manuals

  15. Research Instruments • Cameras • VCRS • Tally sheets • Questionnaires • Tape recorders

  16. Sampling • What sampling unit to be studied? • What should be the sample size? • What sampling procedure to be used? • What sampling method to be used?

  17. Types of errors • Type I – when a true hypothesis is rejected • Type II – when a false hypothesis is accepted

  18. Sampling techniques • Probability sampling • Non-probability sampling

  19. Probability sampling • Simple random sampling • Systematic sampling • Stratified sampling • Cluster sampling

  20. Non – Probability sampling • Judgement sampling • Convenience sampling • Quota sampling

  21. Quantitative data collection • Structured questionnaires • Structured interviews

  22. Qualitative Research • Open –ended questionnaires • In –depth interviews • Focus group discussions • Word association • Projective techniques • TAT tests • Ink – blot tests

  23. Cost Speed Accuracy Amount of data Response rate Flexibility control Selecting a survey technique

  24. Scaling Techniques • Nominal • Ordinal • Interval • Ratio

  25. Averages Variances Proportions Std. Deviation Hypothesis testing Regression Correlation Factor analysis Cluster analysis Multivariate analysis Discriminant analysis Data analysis

  26. Title Contents Preface Acknowledgements Introduction Objectives Methodology Results and discussion Conclusions/findings Recommendations Appendices Bibliography Report Writing

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