8/11/2019 207-RM-MBA

1/5

Institute of Science, Poonas

INSTITUTE OF BUSINESS MANAGEMENT & RESEARCH

Wakad, Pune-411 057Subject: (207) Research Methodology

M.B.A. Sem-II

Lecture

No.

Topic Sub Topic

1 Foundations of

Research

Meaning, Objectives, Motivation, Utility. Concept

of theory,

2 empiricism, deductive and inductive theory.

3 Characteristics of scientific method - Understanding

the language of research - Concept, Construct,

Definition, Variable. Research Process

4 Problem Identification

& Formulation

Management Question? Research Question?

Investigation Question

5 Measurement Issues - Hypothesis? Qualities of a

good Hypothesis?

6 Null Hypothesis & Alternative Hypothesis.

Hypothesis Testing - Logic & Importance

7 Research Design Concept and Importance in Research - Features of a

good research design, Exploratory Research Design,

concept, types and uses,

8 Descriptive Research Designs - concept, types and

uses. Experimental Design: Causal relationships,

9 Concept of Independent & Dependent variables,concomitant variable, extraneous variable,

Treatment, Control group.

10 Qualitative and

quantitative research

Qualitative research, Quantitative research ,

Concept of measurement

11 Causality, generalization, replication. Merging the

two approaches.

12 Measurement Concept of measurement, what is measured?

Problems in measurement in management research

13 Validity and Reliability. Levels of measurement -

Nominal, Ordinal, Interval, Ratio14 Attitude Scaling

Techniques

Concept of Scale, Rating Scales viz. Likert Scales,

Semantic Differential Scales, Constant Sum Scales

15 Graphic Rating Scales, Ranking Scales, Paired

Comparison & Forced Ranking.

16 Types of Data Secondary Data - Definition, Sources,

Characteristics. Primary Data - Definition

8/11/2019 207-RM-MBA

2/5

17 Personal Interviews, Telephonic Interview, Mail

Survey, Email/Internet survey

18 Sampling Concepts of Statistical Population, Sample,

Sampling Frame, Sampling Error, Sample Size, Non

Response. Characteristics of a good sample

19 Probability Sample? Simple Random Sample,Systematic Sample, Stratified Random Sample &

Multi-stage sampling. Non Probability Sample

20 Judgment, Convenience, Quota & Snowballing

methods. Determining size of the sample - Practical

considerations in sampling and sample size.

21 Data Analysis Data Preparation, Univariate analysis (frequency

tables, bar charts, pie charts, percentages), Bivariate

analysis

22 Cross tabulations and Chi-square test including

testing hypothesis of association.23 Interpretation of Data

and Report Writing

Layout of a Research Paper

8/11/2019 207-RM-MBA

3/5

Institute of Science, Poonas

INSTITUTE OF BUSINESS MANAGEMENT & RESEARCH

Wakad, Pune-411 057ASSIGNMENT ON Research Methodology

M.B.A. SEM-II U.C. No. 207

--------------------------------------------------------------------------------------------------------

* There are 5 sections in this assignment.

* Students are required to solve any one question from each section.

* This assignment is also required for written internal examination. Hence, please do

not write anything on the question bank as students are supposed to bring it at the

time of examination.

* Please submit the assignment in spiral binding.

* Generally, each question below carries weightage of 14 marks.

-----------------------------------------------------------------------------------------------

SECTIONIQ.1: Briefly describe the different steps involved in research process.

Q.2: What do you mean by research? Explain its significance in modern times.

Q.3: Distinguish between Research Methods and Research Methodology.

Q.4: Describe the different types of research, clearly pointing out the difference

between an experiment and a survey.

Q.5: What is research problem? Define the main issues which should receive the

attention of the researcher in formulating the research problem. Give suitable

examples to elucidate your points.

SECTIONIIQ.1: Distinguish between the following

a) Null hypothesis and alternative hypothesis

b) Parametric tests and non parametric tests

c) Type I error and Type II error.

Q.2: What is a hypothesis? What characteristics it must possess in order to be a good

research hypothesis?

Q.3: Summarize the steps of hypothesis testing. What is the virtue of this procedure?

Q.4: Explain the meaning and importance of a research design.

Q.5: Explain the meaning of the following in context of research design.

a) Extraneous variables

b) Experimental & control groups

c) Treatments

8/11/2019 207-RM-MBA

4/5

SECTION-IIIQ.1: What do you mean by multivariate analysis? Explain how it differs from bivariate

analysis.

Q.2: What are the essential differences among nominal, ordinal, interval and ratio

scales? How do these differences affect the statistical analysis techniques we can

use?

Q.3: What is the meaning of measurement in research? Point out the possible sources of

error in measurement.

Q.4: Discuss the relative merits of and problems with

a) Rating and ranking scales

b) Likerts and differential Scales

Q.5: Enumerate the different methods of collecting data. Which one is the most

suitable for conducting enquiry regarding family welfare Programme in India?

Explain its merits and demerits.

SECTIONIVQ.1: Examine the merits and limitations of the observation methods in collecting

method. Illustrate your answer with suitable example.

Q.2: Explain the meaning and significance of the concept of Standard Error in

sampling analysis.

Q.3: Describe briefly the commonly used sampling distribution. Explain characteristics

of a good sample.

Q.4: Write a brief note on different types of analysis of data pointing out the

significance of each.

Q.5: How will you differentiate between descriptive statistics and inferential statistics?Describe the important statistical measures often used to summarize the survey /

research data.

SECTIONV

Write short notes on (any 2)

a) Empiricism

b) Deductive and inductive Theory

c) Motivation in research

d) Constant sum scales

e) Graphic rating scalesf) Paired comparison and forced

ranking

g) Sampling frame

h) Sampling error

i) Central limit theorem

j) Multivariate analysis

k) Bivariate analysis

l) Univariate analysis

m) Primary data

n) Chi-Square test

o) Depth interviewsp) Important aspects of a

questionnaire

q) Cluster and area sample

r) Systematic and stratified sampling

s) Simple factorial design

t) Research Hypothesis

8/11/2019 207-RM-MBA

5/5