DMBA211 RESEARCH METHODOLOGY FEB-MARCH 2025
₹200.00 Original price was: ₹200.00.₹190.00Current price is: ₹190.00.
DMBA211 RESEARCH METHODOLOGY FEB-MARCH 2025
Price 190rs
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Description
SESSION | FEB-MARCH 2025 |
PROGRAM | MASTER OF BUSINESS ADMINISTRATION (MBA) |
SEMESTER | II |
COURSE CODE & NAME | DMBA211 RESEARCH METHODOLOGY |
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Assignment Set – 1
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Q1. Discuss the meaning and importance of a hypothesis. Explain the process of research.
Ans 1.
Meaning of Hypothesis
A hypothesis is a tentative statement or assumption about the relationship between two or more variables that can be tested through scientific investigation. It serves as a foundation for any research study, guiding the direction of data collection and analysis. Hypotheses are usually derived from existing theories, previous research, or observations. They can be formulated as either null hypotheses (H0), which state no relationship exists, or alternative hypotheses (H1), which suggest a specific effect or relationship.
In simpler terms, a hypothesis is like an educated guess that a researcher makes before starting
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Q2. Explain the classification of a Research Design. Discuss the advantages and disadvantages of secondary data         5+5
Ans 2.
Classification of Research Design
Research design is a blueprint for conducting research, outlining procedures for data collection, measurement, and analysis. It helps ensure that the evidence collected addresses the research problem effectively. Research designs can be broadly classified into the following types:
- Exploratory Research Design: This is used when the research problem is not well defined. It aims to explore the issue and gain insights. Methods include literature review, expert interviews, and focus groups. It is flexible but lacks conclusive results.
- Descriptive Research Design: This design aims to describe characteristics of a
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Q3. Explain various types of measurement scales. Elucidate the process of questionnaire design. 5+5 Â Â Â Â Â Â Â Â Â Â Â
Ans 3.
Types of Measurement Scales
Measurement scales are the tools used in research to assign numbers or labels to variables for the purpose of data analysis. There are four primary types of measurement scales in research:
- Nominal Scale
The nominal scale is the most basic form of measurement. It is used to label variables without providing any quantitative value. Data is categorized but not ordered. Examples include gender (male/female), nationality, religion, and marital status. These are identifiers with no inherent
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Assignment Set – 2
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- Explain the coding of quantitative and qualitative data. Differentiate between Descriptive and Inferential Analysis 5+5
Ans 4.
Coding of Quantitative and Qualitative Data
In research, coding is the process of transforming collected data into a structured format suitable for analysis. It is essential for both quantitative and qualitative research, although the methods differ based on the nature of data.
Coding of Quantitative Data
Quantitative data refers to numeric data that can be statistically analyzed. Coding quantitative
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Q5. What is a Chi-Square Test? Discuss the steps involved in hypothesis testing.      Â
Ans 5.
Meaning of Chi-Square Test
The Chi-Square (χ²) test is a non-parametric statistical method used to determine whether there is a significant association between two categorical variables. It assesses the difference between observed frequencies and expected frequencies in a contingency table. The test is particularly useful in survey research, opinion polls, and social science studies where data is often presented
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Q6. Discuss the responsibility of a researcher. Explain the guidelines for presenting tabular data in a research report.       Â
Ans 6.
Responsibility of a Researcher
A researcher plays a crucial role in the pursuit of knowledge and has ethical, professional, and academic responsibilities throughout the research process. These responsibilities ensure that the research is valid, reliable, and ethically sound.
- Ethical Integrity
Researchers must uphold honesty and integrity while conducting research. They should avoid fabrication, falsification, or misrepresentation of data and findings. Ethical clearance must be
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