Syllabus for
Master of Philosophy (Law)
Academic Year (2019)
1 Semester - 2019 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
RES131
FOUNDATIONS OF RESEARCH
-
4
4
100
RSS131
METHODS IN RESEARCH FOR SOCIAL SCIENCE
-
4
4
100
3 Semester - 2018 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
RLW381
DISSERTATION
-
5
10
200
RES131 - FOUNDATIONS OF RESEARCH (2019 Batch)
Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4
Course Objectives/Course Description
Philosophical foundations of research are the scenario of higher education provided. Various approaches to research, review of literature and application of theory are also included.
Course Outcome
Reflections on the hilosophical foundations of research
Knowledge of the history and context of higher education
Knkowledge about various approaches to research
Review of literature
Application of theory
Unit-1
Teaching Hours:14
Philosophical foundations of Research
Ethics and values in Research, Scope of Interdisciplinary, multi-disciplinary and cross disciplinary research, Doctoral Supervision and supervisory styles, Types of Doctoral Research and implications, Pedagogy and Research: Research Informed teaching and Problem Based learning
Unit-2
Teaching Hours:16
Higher Education
History of Higher Education, The notion of University, Disciplines and Domain knowledge, Accreditations and Educational Policy, The Public Intellectual
Unit-3
Teaching Hours:16
Approaches to Research & Review of literature
Quantitative, Qualitative and mixed methods, Relationship between Research Paradigms, Designs and methods, Research Designs and its types, Research methods, Conceptualisation of Research problem in different research approaches, Research questions, Review of literature: Research Topic, Review of Literature in quantitative, qualitative and mixed methods, Steps in conducting Literature Review, Literature map, Abstracting studies, Literature Summary matrix, , Types of Reviews, Identification of Research Gap, Overview of Style manuals, Operational and Theoretical Definitions
Unit-4
Teaching Hours:14
Application of theory
Theory in quantitative research, Writing a Quantitative theoretical framework, Theory in Qualitative and mixed methods, Research proposals format for quantitative, Qualitative and mixed methods (Practical)
Text Books And Reference Books:
Creswel, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches. Los angeles: University of Nebraska–Lincoln.
Essential Reading / Recommended Reading
Altbach, P. G., Reisberg, L., & Rumbley, L. E. (2019). Trends in global higher education: Tracking an academic revolution. BRILL.
Denzin, N.K. and Lincoln, Y.S. (eds.). (2011). The Sage handbook of qualitative research. Thousand Oaks: Sage.
Fink, A. (2019). Conducting research literature reviews: From the internet to paper. Sage
Fuller, S. (2019). Philosophy of science and its discontents. Routledge.
Herr, K. and Anderson, G.L. (2005). The action research dissertation. Thousand Oaks, CA: Sage.
Johnson, A.P. (2005). A short guide to action research. Boston: Pearson Education.
Kindon, S., Pain, R., and Kesby, M. (eds). (2007). Participatory action research approaches and methods. NY: Routledge.
McNiff, J. and Whitehead, J. (2006). All you need to know about action research. Thousand Oaks, CA: Sage.
Reason, P. and Bradbury, H. (eds.). (2006). Handbook of action research. Thousand Oaks, CA: Sage.
Internal Assessements are designed to improve knowledge of and skill in all sections of the course
Each unit is evaluated separately and all units have equal weightage
Not attending more than four hours of lectures of each unit will require the scholar to repeat the unit
RSS131 - METHODS IN RESEARCH FOR SOCIAL SCIENCE (2019 Batch)
Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4
Course Objectives/Course Description
Sampling Design, Development and validation of Tools, Qualitative Research Methods, Quantitative Research and Mixed methods and Quantitative data analysis
Course Outcome
Scholars learn
to design experiments
to identify tools for research
to use methods of researh
to analyse the data
Unit-1
Teaching Hours:14
Design, Development and Testing
Sampling Design, Development and validation of Tools
Introduction, Sample size, Representativeness of the sample, Access to sample, Sampling error, sampling strategy, Sampling strategy: Probability and non probability sampling, Types of sampling
Development of Tools
Classical and modern test theory: assumptions, equations and limitations
Process of Test development
Establishing psychometric properties of a Test, Developing questionnaires and interview schedules,
Validity and Reliability
Kinds of validity, Triangulation, Types of triangulation and their characteristics, Reliability in Quantitative research and Qualitative research, validity and reliability in interviews, experiments, questionnaires, observations, tests, life histories. Sources of unreliability
Unit-2
Teaching Hours:16
Qualitative Research Methods
Naturalistic and Ethnographic research: Features and Stages
Historical and Documentary research: Data collection, Evaluation, Writing research report, Use of quantitative methods, Life histories, Research process in life history, types of documents, The context of document, the writer of the document, the researcher and the document, Reliability and validity in documentary analysis
Case study: Hallmarks in case study, Typology observation studies, Participant observation, Planning a case study, Writing up a case study
Interviews: Conception, purposes, types, Planning interview-based research procedures (Stages), Group interviewing, Interviewing Children, Focus Group interview, Telephone interview, Ethical issues
Qualitative data analysis: Transcription and data management process, Data analysis in different tradition, Content analysis and grounded theory, Thematic analysis, Phenomenological analysis, Narrative analysis, Discourse and conversational analysis
Unit-3
Teaching Hours:16
Quantitative Research and Mixed methods: Surveys
Longitudinal, cross sectional and trend studies
Pre-requisites of survey, Planning a survey, telephonic surveys, internet based surveys, Principles of constructing internet based surveys, advantages and key issues in internet based surveys, sampling in internet based surveys, Simulation methods, Geographical information systems, Longitudinal, cross sectional and trend studies, strengths and weaknesses
Experimental Research Design
Introduction to causality, Between-subjects design, within –subjects design, factorial design, Mixed Factorial experiments single-subject research design. T –Test and ANOVA in experimental designs, Meta analysis
Ex post facto research
Meaning, Co-relational and criterion groups designs, Characteristics, Designing a ex post facto investigation, Procedures
Mixed methods approach to research
Principles and decisions. Classification of mixed designs for social and behavioral research: multi strand designs, concurrent mixed designs, sequential mixed designs, multi strand conversion mixed designs, fully integrated mixed design model
Ethical issues, preliminary planning of a questionnaire, operationalising, Structured, semi-structured and unstructured questionnaire, Closed and open ended questions, Scales of data, Dichotomous questions,Multiple Choice questions, Rank ordering, Rating scales, Constant sum questions, Ratio data questions, Open ended questions, Matrix questions, Contingency questions, filters and branches, Layout, covering letter, Piloting, Practical considerations in designing a questionnaire, Administering questionnaires, Quantitative data analysis: Scales, Parametric and non-parametric data, Descriptive and inferential statistics, one-tailed and two-tailed tests, Dependent and Independent variables, Reliability test, Exploratory data analysis, frequencies, percentages and cross-tabulations, Statistical significance, Hypothesis testing, Effect size, Degrees of freedom, Test of Association, Coefficient of correlation
Statistical Tools (using SPSS, AMOS and R)
Normality test, Skewness and kurtosis, Parametric tests: Multivariate methods and analysis, Discriminant, Analysis, MANOVA, Multiple, regression, Factor analysis, Structural equation modeling (SEM) - Measurement model, Model fit, Moderator and Mediation Analysis using AMOS, Boot strapping
Non- Parametric tests
Median Analysis, Chi-Square Tests, Kruskal-Wallis Tests, Mann-Whitney U Tests, Wilcoxon Sign Test, Friedman Tests, Logit and Probit regression analysis
Text Books And Reference Books:
Cohen, L., Manion, L., & Morrison, K. (2002). Research methods in education. routledge.
Essential Reading / Recommended Reading
Babbie, E.R. (2010). The practice of social research. Belmont, CA: Wadsworth.
Bernard, H. R. (2002). Research methods in anthropology: Qualitative and quantitative approaches. Walnut Creek, CA: Alta Mira Press.
Bernard, H. R. (2002). Research methods in anthropology: Qualitative and quantitative approaches. Walnut Creek, CA: Alta Mira Press.
Best, J. (2004). More damned lies and statistics: How numbers confuse public issues. Berkeley: U of California P.
Creswell, J. (2007). Qualitative inquiry and research design: choosing among five approaches. Thousand Oaks, CA: Sage.
Denzin, N.K. and Lincoln, Y.S. (eds.). (2011). The Sage handbook of qualitative research. Thousand Oaks: Sage.
Dytham, C. (2003). Choosing and using statistics: A biologist's guide. Malden, MA: Blackwell.
Fetterman, D.M. (2010). Ethnography: Step-by-step. Los Angeles: Sage.
Foster, J., Barkus, E., and Yavorsky, C. (2006). Understanding and using advanced statistics. Thousand Oaks, CA: Sage
Handbook of methods in cultural anthropology. (1998). Walnut Creek, CA: AltaMira Press.
Jaccard, J. and Becker, M.A. (2010). Statistics for the behavioral sciences. 5th edition. Belmont, CA; Wadsworth.
Johnson, B. & Christensen, L. (2012). Educational research: Quantitative, qualitative, and mixed approaches. Los Angeles, CA: Sage
Keller, D.K. (2006). The Tao of statistics. Thousand Oaks, CA: Sage.
Leedy, P.D. and Ormond, J.E. (2005). Practical research: planning and design. Upper Saddle River, NJ: Merrill.
Patten, M. (2007). Understanding research methods: An overview of the essentials. Sixth edition. Glendale, CA: Pyrczak Publishing.
Patten, M. (2007). Understanding research methods: An overview of the essentials. Sixth edition. Glendale, CA: Pyrczak Publishing.
Saldana, J. (2009). The coding manual for qualitative researchers. Los Angeles: Sage.
Sanders, L.D. (2010). Discovering research methods in psychology: A student's guide. Malden, MA : British Psychological Society/Blackwell.
Simons, H. (2009). Case study research in practice. Los Angeles: Sage.
Singleton, Jr., R.A. and Straits, B.C. (2005). Approaches to social research. NY: Oxford UP.
Thomas, R.M. & Brubaker, D.L. (2000). Theses and dissertations: A guide to planning, research, and writing. Westport, CT: Bergin & Garvey.
Yin, R.K. (2009). Case study research: Design and methods. Los Angeles, CA: Sage.
Evaluation Pattern
Internal Assessements are designed to improve knowledge of and skill in all sections of the course
Each unit is evaluated separately and all units have equal weightage
Not attending more than four hours of lectures of each unit will require the scholar to repeat the unit
RLW381 - DISSERTATION (2018 Batch)
Total Teaching Hours for Semester:45
No of Lecture Hours/Week:5
Max Marks:200
Credits:10
Course Objectives/Course Description
The candidate is expected to analyze a topic selected by him, as well as, show a well-grounded theory of research methodologies that is applicable to the field of study.
To inculcate higher level Research skills.
Course Outcome
At the end of the course the scholar will be able to carry out higher level of research in the subject area.
Unit-1
Teaching Hours:45
Dissertation
Students are required to select their dissertation topic at the beginning of the academic year and do their research under the guide allotted to them. Reports of research work have to be submitted and presented regularly as per the schedule given by HOD. The dissertation has to be submitted after successful completion of course work and research. Dissertation work carries 200 marks in total.
Text Books And Reference Books:
Legal Research Methodology-ILI publication
Essential Reading / Recommended Reading
Legal Research Methodology-ILI publication
Evaluation Pattern
The dissertation submitted by the candidate will be assessed by two experts (One Internal and One External). The candidates also have to appear for final viva voce. Assessment of dissertation based on adjudication and viva; along with the assessment of theory papers will be considered to declare the final results.