UNIT-I
Foundations of Research: Meaning, Objectives, Motivation, Utility. Concept of theory, empiricism, deductive and inductive theory. Characteristics of scientific method – Understanding the language of research – Concept, Construct, Definition, Variable
Research Process: Problem Identification & Formulation – Research Question – Investigation
Question – Measurement Issues – Hypothesis – Qualities of a good Hypothesis –Null Hypothesis
& Alternative Hypothesis. Hypothesis Testing – Logic & Importance
UNIT-II
Research Design: Concept and Importance in Research – Features of a good research design –
Exploratory Research Design – concept, types and uses, Descriptive Research Designs – concept, types and uses. Experimental Design: Concept of Independent & Dependent variables
Qualitative and Quantitative Research: Qualitative research – Quantitative research – Concept
of measurement, causality, generalization, replication. Merging the two approaches
UNIT-III
Measurement: Concept of measurement– what is measured? Problems in measurement in research – Validity and Reliability. Levels of measurement – Nominal, Ordinal, Interval, Ratio
Sampling: Concepts of Statistical Population, Sample, Sampling Frame, Sampling Error, Sample Size, Non Response. Characteristics of a good sample. Probability Sample – Simple Random Sample, Systematic Sample, Stratified Random Sample & Multi-stage sampling. Determining size of the sample – Practical considerations in sampling and sample size.
UNIT-IV
Data Analysis: Data Preparation – Univariate analysis (frequency tables, bar charts, pie charts, percentages), Bivariate analysis – Cross tabulations and Chi-square test including testing hypothesis of association
Interpretation of Data and Paper Writing – Layout of a Research Paper, Journals in Computer Science, Impact factor of Journals, When and where to publish? Ethical issues related to publishing, Plagiarism and Self-PlagiarismUNIT-V
Use of Encyclopedias, Research Guides, Handbook etc., Academic Databases for Computer Science Discipline
Use of tools / techniques for Research: methods to search required information effectively,
Reference Management Software like Zotero/Mendeley, Software for paper formatting like
LaTeX/MS Office, Software for detection of Plagiarism
JNTUK Pre Ph.D Research Methodology Syllabus Paper I Tutorial/Notes Check below
UNIT-I
1.Meaning, Objectives, Motivation
2. Concept of theory in Research methodology
3.Empiricism Research Methodology
4.Deductive and inductive theory in Research Methodology
5.Characteristics of scientific method in research methodology
6. Understanding the language of research – Concept, Constructs, Definition
7.Understanding the language of research - Variables
8.Research process - Research Methodology
10. Problem Identification and Formulation
11.Research Question, Investigation Question, Measurement Issues
12.Hypothesis – Qualities of a good Hypothesis
13. Types of Hypothesis-Null Hypothesis & Alternative Hypothesis
14. Hypothesis Testing – Logic & Importance
15. Numerical Problems on Hypotheses Testing
UNIT-II
Research Design:
- Concept and Importance in Research
- Features of a good research design
- Exploratory Research Design – concept, types and uses
- Descriptive Research Designs – concept, types and uses
- Experimental Design: Concept of Independent & Dependent variables
Qualitative and Quantitative Research:
- Quantitative research
- Concept of measurement in Quantitative research
- Qualitative research process
- causality, generalization, replication.
- Merging the two approaches
UNIT-III
Chapter-I
- Measurement: Concept of measurement– what is measured?
- Problems in measurement in research – Validity and Reliability.
- Levels of measurement – Nominal, Ordinal, Interval, Ratio.
- characteristics of a good measurement.
Chapter-II:
- Sampling: Concepts of Statistical Population, Sample, Sampling Frame, Sampling Error, Sample Size, Non Response.
- Characteristics of a good sample.
- Probability and Non-probability sampling methods
- Probability Sample –
- Simple Random Sample
- Systematic Sample
- Stratified Random Sample
- Systematic Sampling Vs Stratified Random Sampling
- Multi-stage sampling.
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