1 Objective of the study
Learning Objectives: 1. The course is
designed to inculcate the analytical abilities and research skills among the
students. 2. The course intends to give hands on experience and learning in
Business Research.
2 Syllabus
2.1 Unit I Introduction to business research methods: (18 lectures)
2.1.1 Meaning and objectives of research
2.1.2 Types of research – a)Pure, Basic and Fundamental b) Applied, c) Empirical d) Scientific & Social e) Historical f) Exploratory g) Descriptive h)Causal
2.1.3 Concepts in Research: Variables, Qualitative and Quantitative Research
2.1.4 Stages in research process
2.1.5 Characteristics of Good Research
2.1.6 Hypothesis- Meaning, Nature, Significance, Types of Hypothesis, Sources.
2.1.7 Research design – Meaning, Definition, Need and Importance, Steps in research design, Essentials of a good research design, Areas / Scope of research design and Types- Descriptive, Exploratory and causal.
2.1.8 Sampling – a) meaning of sample and sampling, b) methods of sampling-
2.1.8.1 i) Non Probability Sampling –Convenient, Judgment, Quota, Snow ball
2.1.8.2 ii) Probability – Simple Random, Stratified, Cluster, Multi Stage.
2.2 Unit 2 Data collection and Processing: (14 lectures)
2.2.1 Types of data and sources- Primary and Secondary data sources
2.2.2 Methods of collection of primary data
2.2.2.1 a) Observation i) structured and unstructured, ii) disguised and undisguised, iii)mechanical observations ( use of gadgets)
2.2.2.2 b) Experimental i) Field ii) Laboratory
2.2.2.3 c) Interview – i) Personal Interview ii) focused group, iii) indepth interviews -Method,
2.2.2.4 d) Survey – Telephonic survey, Mail, E-mail, Internet survey, Social media, and Media listening.
2.2.2.5 e) Survey instrument – i) Questionnaire designing. ii) Types of questions– a)structured/ close ended and b)unstructured/ open ended, c) Dicotomous, d) Multiple Choice Questions.
2.2.2.6 f) Scaling techniques- i) Likert scale, ii) Semantic Differential scale
2.3 Unit 3 Data analysis and Interpretation –(16 lectures)
2.3.1 a) Processing of data –
2.3.1.1 i) Editing - field and office editing,
2.3.1.2 ii)coding – meaning and essentials,
2.3.1.3 iii) tabulation – note
2.3.2 b) Analysis of data- Meaning, Purpose, types.
2.3.3 c) Interpretation of data- Essentials, importance and Significance of processing data
2.3.4 d) Multivariate analysis – concept only
2.3.5 e) Testing of hypothesis – concept and problems – i) chi square test, ii) Z and t-test (for large and small sample)
2.4 Unit 4 Advanced techniques in Report Writing (12 lectures)
2.4.1 1) Report writing – Meaning, importance, functions of reports, essential of a good report, content of report, steps in writing a report, types of reports, Footnotes and Bibliography
2.4.2 2) Ethics and research
2.4.3 3) Objectivity, Confidentiality and anonymity in Research
2.4.4 4) Plagiarism
3 Practice questions
3.1 Unit I Introduction to business research methods
(1)
What do you mean by research?
Explain objectives of research
(2)
Define research. Explain
various Types of research or Explain Characteristics of Good Research
(3)
Distinguish between Qualitative
and Quantitative Research
(4)
Explain various Stages in
research process
(5)
Define Hypothesis. Explain its significance.
Or what are various Types of Hypothesis?
Explain its Sources.
(6)
What do you understand by Research
design? Explain its Need and Importance
(7)
Explain Steps in research
design or what are the Essentials of a good research design? Or Explain Types
of research design as to- Descriptive, Exploratory and causal.
(8)
What is Sample and Sampling? Explain
methods of sampling
(9)
Distinguish between Non
Probability Sampling and probability sampling
3.2 Unit 2 Data collection and Processing
(10)
Explain various Types of sources
of data
(11)
Distinguish between Primary and
Secondary data sources
(12)
What is primary data and secondary
data? What are its limitations?
(13)
What is secondary data? Explain
precautions while using secondary data.
(14)
What are the merits and demerits
of questionnaire methods/interview methods
(15)
Explain Methods of collection
of primary data
(16)
Explain what Questionnaire is
designing. Draft a sample questionnaire for your project.
(17)
Explain Types of questions in
questionnaire a)structured/ close ended and b)unstructured/ open ended, c) Dichotomous,
d) Multiple Choice Questions.
(18)
Explain various Scaling
techniques- i) Likert scale, ii) Semantic Differential scale
3.3 Unit 3 Data analysis and Interpretation
(19)
What do you understand by
Processing of data? Explain Significance of processing data
(20)
What is Editing? Why it is
important?
(21)
What is coding? What are the
essentials of coding?
(22)
What is tabulation? Explain its
importance
(23)
What is Analysis of data? Explain
its types
(24)
What is Interpretation of data?-Explain
its Essentials and importance
(25)
What is Multivariate analysis?
(26)
What is Testing of hypothesis?
Explain its importance in business research
(27)
Numerical of chi square test, Z test and
t-test (for large and small sample)
3.4 Unit 4 Advanced techniques in Report Writing
(28)
What is Report writing? Explain
its importance
(29)
Explain functions of reports
(30)
What are the essential of a
good report?
(31)
Explain content of report, draw
a sample report in the light of your project
(32)
Explain steps in writing a
report,
(33)
Explain various types of
reports
(34)
Write short note on (i) Footnotes
(ii) Bibliography (iii) Research ethics
(35)
Explain Objectivity,
Confidentiality and anonymity in Research
36) What do you understand by Plagiarism? Explain
the research ethics in the context.
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