Page 56 - DMGT209_QUANTITATIVE_TECHNIQUES_II

Unit 3: Language of Research

3.5 Summary Notes

 The first thing that a good researcher needs to have is the language of research.
 If one doesn’t, it is for sure that one is going to have a hard time discussing research.
 One has to take care of some of the major issues in research like the types of questions one
can ask in a project, the role of time in research, and the different types of relationships one
can estimate.

 Then one has to consider defining some basic terms like variable, hypothesis, data, and
unit of analysis.

 A good research proposal gives you an opportunity to think through your project carefully,
and clarify and define what you want to research.

 It provides you with an outline and to guide you through the research process.
 It also lets your supervisor and department or faculty know what you would like to
research and how you plan to go about it.

 A hypothesis is a proposition – a tentative assumption which a researcher wants to test for
its logical or empirical consequences. Hypotheses are more useful when stated in precise
and clearly defined terms.

3.6 Keywords

Coding: Coding means assigning numbers to each of the answers, so that they can be analysed.
Data Collection: The search for answers to research questions is called data collection.

Editing: The data collected should be scanned to make sure that it is complete and that all the
instructions are followed.
Problem Formulation: The problem formulation means converting the management problem
to a research problem.
Research Process: Research process defines marketing research and describes the skills required
to identify the problem, the decision alternatives, and the client’s needs, which are critical
components of a research activities.
Tabulation: It is the orderly arrangement data in a tabular form.

3.7 Review Questions

1. Research involves an eclectic blending of an enormous range of skills and activities.
Comment.
2. Explain the concepts Nomothetic and Idiographic through examples only.

3. A white sales man sells less than black salesman. Is this hypothesis right? Why/why not?
4. A study was conducted to measure the motivation level of each of the category of managers.
Formulate a hypothesis, suggesting testing procedures to show that there is no relation
between the category of managers and the level of motivation.
5. Why should a hypothesis must be supported or backed up by theoretical relevance?

6. In your opinion, what might happen if the statistic under verification is not mentioned
clearly?

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