Formulating Research Topic-Modern Research Methods-Lecture Slides, Slides of Research Methods for Managers

This lecture was delivered by Dr. Radha Ram at Anand Agricultural University for Advanced Research Methods subject. Its main points are: Research, Design, Archival, Experiment, Case, study, Ethnography, Survey, Strategies, Time, Horizons

Typology: Slides

2011/2012

Uploaded on 07/11/2012

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Capability: is it feasible?

» Are you fascinated by the topic?

» Do you have the necessary research skills?

» Can you complete the project in the time available?

» Will the research still be current when you finish?

» Do you have sufficient financial and other

resources?

» Will you be able to gain access to data?

Appropriateness: is it worthwhile?

» Will the examining institute's standards be met?

» Does the topic contain issues with clear links to theory?

» Are the research questions and objectives clearly stated?

» Will the proposed research provide fresh insights into the

topic?

» Are the findings likely to be symmetrical?

» Does the research topic match your career goals?

Generating research ideas:

Useful Techniques

Rational thinking Creative thinking

  • examining your strength * keeping an ideas

and interest notebook

  • looking at past project titles * exploring personal

preferences using past projects

  • discussion * relevance tree

  • searching the literature: * brainstorming articles in academic journals reports books

Refining research ideas: useful

techniques

» Using the Delphi technique:

˃ Brief the group about research idea, ask them to generate independently up to three specific research ideas based on the original research idea with justification, collect from them the so developed research ideas and redistribute in an unedited form amongst all group-members. ˃ Repeat the above cycle so that group-members improve their own contribution in light of what others have said. ˃ Repeat the cycle till the time that group reaches on some consensus on the research idea; this either follows a similar cycle or group discussion, voting or some other method. Continues in next slide

If you do not

know where you

are going, any

road will take

you there.

10

Write research questions

That are:

» Consistent with expected standards

» Able to produce clear conclusions

» Able to generate new insights

» At the right level (not too difficult)

» Not too descriptive (beware of research questions that are too easy or too difficult)

Note: It is often a useful starting point in the writing of research questions to begin with one general focus research question that flows from your research idea; this may lead to several more detailed questions or the definition of research objectives.

Writing research objectives

» Check your examining body’s preferences for stated objectives

» Use a general focus research question as a base to write a set of research objectives

» Objectives are more generally acceptable to the research community as evidence of the researcher’s clear sense of purpose and direction

» Objectives are likely to lead to greater specificity than research or investigative questions

» Research objectives require more rigorous thinking, and use of more formal language

Phrasing research question as research
objective: an example

Research question: Why have organizations introduced team briefing?

Research objective: To identify organizations’ objectives for team

briefing schemes

Data Entry with Codes

Continued from previous slide

  • Click column Values; you will get a small box, clicking that box, you will reach ‘Value Label’ entry box. Type 1 for Value and Male for Value label, and click Add. Repeat the process for code 2 for Female and add. Click OK.

  • Go to row 2 , type Education and Educational status under columns Name and labels. Repeat the process for coding: 0 for Uneducated, 1 for Primary, 2 for Matriculate, 3 for Bachelor, 4 for Master and 5 for PhD.

  • Go to ‘Data View’ and check whether the two columns created above (Gender and Education) are there. Enter codes as per data of next slide.

Respondent

Number

  • 1 Female = 2 Primary = Gender Education
  • 2 Male = 1 Batchelor =
  • 3 Male = 1 PhD =
  • 4 Male = 1 Batchelor =
  • 5 Female = 2 Matric =
  • 6 Female = 2 Unedu.=
  • 7 Male = 1 Primary =
  • 8 Male = 1 Batchelor =
  • 9 Male = 1 Matric =
  • 10 Female = 2 Batchelor =