Course Code MLIE-102
MLIE-102: RESEARCH METHODOLOGY
Assignment Code: AST/TMA/ Jul.2025-Jan.2026
Q.1 Discuss the different approaches to research. Explain with examples how these approaches can be applied to LIS research?
1. Qualitative Approach:
Focuses on understanding experiences, meanings, and behaviors. It uses interviews, observations, or content analysis.
Example in LIS: Studying how students perceive digital library services through focus groups, revealing user satisfaction and challenges.
2. Quantitative Approach:
Involves numerical data, measurable variables, and statistical analysis. It tests hypotheses and identifies patterns.
Example in LIS: Analyzing library usage statistics, such as book loans or e-resource downloads, to optimize collection development and services.
3. Mixed Methods Approach: Combines qualitative and quantitative methods for a holistic view.
Example in LIS: Evaluating a new library management system by measuring circulation data and interviewing staff about usability.
Other approaches include historical research (e.g., evolution of cataloguing), descriptive research (e.g., snapshot of e-resource availability), and experimental research (e.g., comparing RFID vs. barcode systems for efficiency).
In LIS, selecting an approach depends on the research question, data type, and purpose. Qualitative methods explore “why,” quantitative methods measure “how much,” and mixed methods provide a complete understanding, making them highly useful for library studies and service improvement.
Q.2 What is hypothesis? What are the desirable qualities of a good hypothesis.
A hypothesis is a tentative statement or proposition that predicts a relationship between two or more variables. It is an educated guess based on existing knowledge, observations, or theories, which can be tested through research. In simple terms, it is a statement that a researcher aims to prove or disprove through systematic investigation.
Example: “Students who use digital libraries regularly score higher in academic performance than those who do not.”
Desirable Qualities of a Good Hypothesis
A good hypothesis should have the following qualities:
- Clarity: Clearly expresses the relationship between variables without ambiguity.
Example: “Increased reading time improves comprehension skills” is clear. - Specificity: Focuses on specific variables and a defined population or context.
- Testability / Verifiability: Can be tested through observations, experiments, or data collection.
- Relevance: Addresses a significant problem or question in the field of study.
- Predictive Power: Can predict outcomes under certain conditions.
- Simplicity / Conciseness: Easy
- Consistency: Should not contradict known facts or established theories.
- Empirical Basis: Based on previous research, observations, or logical reasoning rather than mere speculation
Q3: Describe the methods of data presentation in research report writing.
Answer: In research report writing, data presentation refers to the systematic way of displaying collected data so that it is clear, understandable, and meaningful to the reader. The main methods of data presentation are as follows:
1. Textual Presentation
This method presents data in words and sentences. It is used when the data set is small or when explaining trends, patterns, or key findings.
Example:
“The study revealed that 60% of respondents preferred online learning, while 40% favored traditional classroom learning.”
Merit: Simple and explanatory
Limitation: Not suitable for large or complex data
2. Tabular Presentation
Data are presented in rows and columns using tables. It allows easy comparison and clear organization of numerical data.
Example: Frequency tables, percentage tables
Merits:
- Easy to understand
- Facilitates comparison
- Saves space
Limitation: Requires careful construction
3. Graphical Presentation
This method uses graphs and charts to represent data visually, making trends and patterns easy to grasp at a glance.
Common types include:
- Bar charts – compare categories
- Line graphs – show trends over time
- Pie charts – show proportions
- Histograms – show frequency distribution
Merits:
- Attractive and effective
- Easy interpretation
Limitation: Less detailed than tables
4. Diagrammatic Presentation
Data are presented using diagrams and figures such as flowcharts, maps, and pictorial diagrams.
Examples:
- Flow diagrams
- Organizational charts
- Thematic maps
Merit: Enhances visual appeal
Limitation: May oversimplify data
5. Statistical Presentation
Data are summarized using statistical measures such as averages, percentages, ratios, and indexes.
Examples:
- Mean, median, mode
- Standard deviation
- Correlation coefficients
Merit: Provides precise analysis
Limitation: Requires statistical knowledge
Q4 : What do you mean by a ‘case study’? Explain the steps involved in designing a case
study to solve a research problem.
Answer: A case study is an in-depth and detailed investigation of a single unit such as an individual, group, organization, event, or community. It aims to understand complex issues in their real-life context by collecting comprehensive and qualitative data. Case studies are commonly used in social sciences, education, psychology, and business research.
Steps Involved in Designing a Case Study
To solve a research problem effectively, a case study is designed through the following steps:
1. Selection of the Case
The researcher carefully selects a case that is relevant, representative, and significant to the research problem. The case should provide sufficient information for meaningful analysis.
2. Defining the Objectives of the Study
Clear objectives are formulated to specify what the researcher intends to study, such as understanding causes, effects, processes, or outcomes related to the case.
3. Formulation of Research Questions
Specific and focused research questions are developed to guide data collection and analysis. These questions help maintain direction throughout the study.
4. Designing the Data Collection Plan
The researcher decides the sources and methods of data collection, which may include interviews, observations, documents, records, and questionnaires.
5. Collection of Data
Data are collected systematically from multiple sources to ensure depth and accuracy. Both primary and secondary data may be used.
6. Data Organization and Classification
Collected data are organized, coded, and classified to make them suitable for analysis. This step helps in identifying patterns and relationships.
7. Data Analysis and Interpretation
The researcher analyzes the data using qualitative or quantitative techniques and interprets findings in relation to the research objectives and questions.
8. Validation of Findings
The accuracy and credibility of findings are checked through techniques such as triangulation, peer review, or cross-checking data sources.
9. Drawing Conclusions
Based on the analysis, conclusions are drawn to address the research problem and explain the findings of the case study.
10. Report Writing
Finally, the findings, conclusions, and implications are systematically presented in a research report with proper explanations and evidence.
Q5: Write short notes on any two of the following:
a) Historical research
b) Qualitative
c) Merits of interview Method
d) Steps in planning experimental research
Answer:
a) Historical Research
Historical research is a method of research that involves the systematic collection, evaluation, and interpretation of past events to understand their causes, development, and effects. It relies on primary sources (documents, letters, records, diaries) and secondary sources (books, articles, reports).
Characteristics:
- Focuses on past events
- Uses authentic and reliable sources
- Involves critical evaluation of evidence
Importance:
- Helps understand present problems through past experiences
- Provides a basis for future planning
b) Qualitative Research
Qualitative research is a research approach that focuses on understanding human behavior, experiences, attitudes, and meanings through non-numerical data.
Features:
- Uses interviews, observations, and case studies
- Data are descriptive rather than numerical
- Emphasizes depth and context
Purpose:
- To explore complex social phenomena
- To generate new insights and theories
c) Merits of Interview Method
The interview method is a data collection technique in which information is obtained through direct verbal interaction between the researcher and the respondent.
Merits:
- Provides in-depth and detailed information
- Allows clarification of doubts
- High response rate
- Suitable for illiterate respondents
- Enables observation of non-verbal cues
d) Steps in Planning Experimental Research
Experimental research is conducted to establish cause-and-effect relationships by controlling variables.
Steps involved:
- Identifying and defining the research problem
- Formulating hypotheses
- Selecting variables and experimental design
- Selecting sample and tools
- Conducting the experiment and analyzing data