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Master
of Business Administration - MBA Semester 3
MBA301-Research Methodology
Set - 1
Q1. Elaborate Problem Identification
Process
Problem
Identification Process
Answer. Problem Identification Process
The
process of identifying the research problem involves the following steps:
1. Management decision problem
The
entire process begins with the identification of the difficulty encountered by
the business manager/researcher. The manager might decide to conduct the study
himself or gives it to a
Q2. Explain Advantages and
Disadvantages of Secondary Data
Advantages
of Secondary Data
Disadvantages
of Secondary Data
Answer. There are multiple advantages
of using secondary data.
• Resource advantage:- Any
research that is making use of secondary information will be able to
Q3. Describe the type of questions used
in any questionnaire
Open-ended 2
Closed-ended 8
Answer.
Open-ended questions
In open-ended questions, the openness
refers to the option of answering in one’s own words. They are also referred to
as unstructured questions or free response or free-answer questions. Some
illustrations of this type are listed below:
Set - 2
Q1. Explain Field editing and
centralized in-house Editing
Explain
Field Editing 5
Centralized
in-house Editing 5
Answer. Data editing is
the process that involves detecting and correcting errors (logical
inconsistencies) in data. After collection, the data is subjected to
processing.
Processing
requires that the researcher must go over all the raw data forms and check them
for errors.
Q2. Elaborate the steps testing of
Hypothesis Exercise
Testing
of Hypothesis Exercise
Answer. Steps in Testing of Hypothesis Exercise
The
following steps are followed in the testing of a hypothesis:
Setting
up of a hypothesis: - The first step is to establish the hypothesis to be
tested. As it is known, these statistical hypotheses are generally assumptions
about the value of the population parameter; the
Q3. Describe application of two-way
ANOVA and Factorial Design
Two-way
ANOVA
Factorial
Design
Answer. Two-way ANOVA
Analysis
of variance (ANOVA) is the most efficient method available for the analysis of
experimental data. Analysis of variance is a method of considerable complexity
and subtlety, with many
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