samplemba sem 3 summer 2013 assignment mba sem3 summer 2013
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7/30/2019 SampleMBA Sem 3 Summer 2013 assignment MBA Sem3 Summer 2013
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Summer 2013
Master of Business Admin istration- MBA Semester 3
MB0050 Research Methodology
Q1. Explain the process of problem identification with an example.
A problem is the statement of a question that needs to be answered or a situation that needs
a solution. The problem emerges from a clinical situation in which there is a knowledge gap
or uncertainty regarding the "best" response to the situation.
The process of problem identification includes:
1. Developing title: The title should be carefully worded. It should indicate the core of the
study, reflect the real intention of the researcher, and show on what is the focus e.g.,
Financing small-scale industries by commercial banks. This shows that the focus is on
commercial banks and not on small-scale industries. On the other hand, if the title is The
Financial Problem of Small-scale industries, the focus is on small-scale industries.
2. Building a conceptual model: On the basis of our theoretical knowledge of the
phenomenon under study, the nature of the phenomenon, its properties / elements and their
inter-relations should be identified and structured into a framework. This conceptual model
gives an exact idea of the research problem and shows its various properties and variables
to be studied. It serves as a basis for the formulation of the objectives of the study, on thehypothesis to be tested. In order to work out a conceptual model we must make a careful
and critical study of the available literature on the subject-matter of the selected research
problem. It is for this reason; a researcher is expected to select a problem for research in his
field of specialization. Without adequate background knowledge, a researcher cannot grasp
and comprehend the nature of the research problem.
3. Define the Objective of the Study:The objectives refer to the questions to be answered
through the study. They indicate what we are trying to get through the study. The objectives
are derived from the conceptual model. They state which elements in the conceptual model-
which levels of, which kinds of cases, which properties, and which connections amongproperties are to be investigated, but it is the conceptual model that defines, describes,
and states the assumptions underlying these elements. The objectives may aim at
description or explanation or analysis of causal relationship between variables, and indicate
the expected results or outcome of the study. The objectives may be specified in the form of
either the statements or the questions.
Q2. Interview method involves a dialogue between the Interviewee and the
Interviewer. Explain the interview method of data collection. What are the uses of this
technique? What are the different types of interviews?
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Interviewing is one of the prominent methods of data collection. It may be defined as a two
way systematic conversation between an investigator and an informant, initiated for
obtaining information relevant to a specific study. It involves not only conversation, but also
learning from the respondents gesture, facial expressions and pauses, and his environment.
Interviewing requires face to face contact or contact over telephone and calls for interviewing
skills. It is done by using a structured schedule or an unstructured guide.
Interviewing may be used either as a main method or as a supplementary one in studies of
persons. Interviewing is the only suitable method for gathering information from illiterate or
less educated respondents. It is useful for collecting a wide range of data from factual
demographic data to highly personal and intimate information relating to a persons opinions,
attitudes, values, beliefs past experience and future intentions. When qualitative information
is required or probing is necessary to draw out fully, and then interviewing is required. Where
the area covered for the survey is a compact, or when a sufficient number of qualified
interviewers are available, personal interview is feasible.
There are several real uses of interview method data collection.
First the greatest value of this method is the depth and detail of information that can
be secured. When used with well conceived schedules, an interview can obtain a
great deal of information. It far exceeds mail survey in amount and quality of data that
can be secured.
Second, the interviewer can do more to improve the percentage of responses and
the quality of information received than other method. He can note the conditions of
the interview situation, and adopt appropriate approaches to overcome suchproblems as the respondents unwillingness, incorrect understanding of question,
suspicion, etc.
Third, the interviewer can gather other supplemental information like economic level,
living conditions etc. through observation of the respondents environment.
Types of Interviews
The interview may be classified into: (a) structured or directive interview, (b) unstructured or
non-directive interview, (c) focused interview, (d) clinical interview and (e) depth interview.
Structured Directive Interview
This is an interview made with a detailed standardized schedule.
Unstructured or Non-Directive Interview
This is the least structured one. The interviewer encourages the respondent to talk freely
about a give topic with a minimum of prompting or guidance.
Focused Interview
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This is a semi-structured interview where the investigator attempts to focus the discussion
on the actual effects of a given experience to which the respondents have been exposed.
Q3. A study of different sampling methods is necessary because precision, accuracy,
and efficiency of the sample results depend on the method employed for selecting the
sample. Explain the different types of Probability and Non-Probability sampling
designs.
Probability or Random Sampling
Probability sampling is based on the theory of probability. It is also known as random
sampling. It provides a known nonzero chance of selection for each population element. It is
used when generalization is the objective of study, and a greater degree of accuracy of
estimation of population parameters is required. The cost and time required is high hence
the benefit derived from it should justify the costs.
The following are the types of probability sampling:
i) Simple Random Sampling: This sampling technique gives each element an equal and
independent chance of being selected. An equal chance means equal probability of
selection. An independent chance means that the draw of one element will not affect the
chances of other elements being selected. The procedure of drawing a simple random
sample consists of enumeration of all elements in the population.
Advantages:The advantage of this is that it is one of the easiest methods, all the elements
in the population have an equal chance of being selected, simple to understand, does not
require prior knowledge of the true composition of the population.
ii) Stratified Random Sampling: This is an improved type of random or probability
sampling. In this method, the population is sub-divided into homogenous groups or strata,
and from each stratum, random sample is drawn.
Advantages: Stratified random sampling enhances the representativeness to each sample,gives higher statistical efficiency, easy to carry out, and gives a self-weighing sample.
Non-probability or Non Random Sampling
Non-probability sampling or non-random sampling is not based on the theory of probability.
This sampling does not provide a chance of selection to each population element.
Advantages: The only merits of this type of sampling are simplicity, convenience and low
cost.
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Disadvantages: The demerits are it does not ensure a selection chance to each population
unit. The selection probability sample may not be a representative one. The selection
probability is unknown. It suffers from sampling bias which will distort results.
The reasonsfor usage of this sampling are when there is no other feasible alternative due to
non-availability of a list of population, when the study does not aim at generalizing the
findings to the population, when the costs required for probability sampling may be too large,
when probability sampling required more time, but the time constraints and the time limit for
completing the study do not permit it.
Q4. a. Differentiate between descriptive and inferential analysis of data.
b. Explain with examples various measures of Central Tendency.
Q5. The chi-square test is widely used in research. Discuss the various applications
of chi -square test. Under what conditions is this test applicable?
Q6. What is analysis of variance? What are the assumptions of the technique? Give a
few examples where this technique could be used.
Remaining answers are available in the full assignments.
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