This course will enable students to understand and know:
· Research: Meaning, Definition, Methodology, Research process, Criterion of good research
· Types of Research: Fundamental or Basic, Applied, Historical, Descriptive, Analytical quantitative, qualitative, Conceptual Experimental, Case study
· Research Design: Meaning, Concepts, need, designs for different types of research; library, laboratory and field research; Advantages of Designing Research
· Research Problem and Developing Research proposal: Selection of research area and topic, statement of the research problem, its scope, steps involved in defining the problem.
· Literature Search: Reviewing related literature, referencing, abstracting, Computer search, bibliography, evaluation of the problem.
· Defining concepts, objectives, basic assumptions, delimitations and limitations of the problem, Statement of Hypothesis.
· Variables: Independent and dependent variables, qualitative and quantitative variables, discrete and continuous variables, confounding variables, methods of controlling variables. Measurement of variables.
· Sampling: Meaning, Characteristics of a good sample design, steps in sampling design, types, advantages
· Techniques of Data Collection:
· Primary data; Questionnaire, Schedules, Interview observation & other methods
· Secondary data: Reliability, suitability & Adequacy of data.
· Processing and Analysis of Data: Processing Operations: Editing, coding, classification and tabulation of data, Elements of Data Analysis, Role of statistics in Data Analysis. Statistical Tables
· Report writing: Types, Format
· Probability: Basic Aspects, probability of combination of events, probability of random variables, distribution of random variable
· Statistical Methods: Measures of Central tendency- Mean, Median, Mode, Arithmetic, Geometric and Harmonic mean.
· Measures of Dispersion: Range, Mean Deviation, Variance, Standard Deviation, Coefficient of variation
· Regression and Correlation: Least square method of fitting a regression line, curvilinear regression, correlation methods, correlation coefficient.
· Test of Significance: t-test, chi-test, ANOVA, f-test
· Hypothesis
· Common distribution functions: Binomial probability distribution, Poisson distribution and normal distribution etc.
· Errors in Experiments: Errors in observations; random errors, systematic errors; Normal law of errors; Average error, Standard error and probable error; significant figures; percentage error.
· Errors in Calculations: Approximate numbers and significant figures; Rounding of numbers; Absolute and relative errors, Relation between relative Error and significant figures; General formula for Errors; Application of Error formulas to fundamental operations of Arithmetics
Research Literature in Physics:
· Abstracts and Journals and Physics, Electronic Journals, major libraries, arXivs, Data books and other resources of information, subscribing journals in Physics
· Scientific Writing: Organization and writing a research paper, short communication, review articles, monographs, technical and survey reports, authored books, edited books, dissertation, thesis
· Patents and patent writing, type of different applications, Disclosure for an invention in the thesis
. IPR (Intellectual Property Rights), Types, objectives, Limitations, Agreements, Laws and Government Enforcement.
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2. Ahuja Ram (2006) Research Methods, Jaipur: Rawat Publication |
3. Chattopadhyay, D. and Rakshit, P.C. An Advance course in Practical Physics Kolkata: New Central Book Agency(P) Ltd. |
4. E., Balagurusamy, Numerical Methods, Tata Mc. Graw Hill. |
5. Jain M.K., and Iyengar, Numerical methods problems and solutions, New Age International Ltd. |
6. Kothari, C.R. (1989) Research Methodology: Methods and Techniques, Bangalore: Wiley Eastern. |
7. Rosander, A.C.(1965) Elements of Probability and Principles of Statistics, Calcutta: East West Press. |
8. Scarborough J.B., (1971) Numerical Mathematical Analysis, New Delhi: Oxford & IBH Pub. Co.
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1. Allen, R.G.D.(1958) Statistics for Economics, London: Allen & Unwin. |
2. Agarwal, J.C. (1989) Educational Research – An Introduction, New Delhi: Arya Book Depot. |
3. Anderson T.W. An Introduction to Multivariate Statistical Analysis, New Delhi: Wiley Eastern Publication Ltd. |
4. Bernad Oste and Mensing R.W. (1975) Statistics in Research Ames: The Lowa State University Press. |
5. Best John W. and Kahn, James V. (2006) Research in Education, NEW Delhi: Prentice Hall of India. |
6. Best, J.W. (1989) Research in Education, New Delhi, Prentice Hall of India. |
7. Bose, Pradip Kumar (1995) Research Methodology, New Delhi:ICSSR |
8. Braun, Robert, Introduction to Instrumental analysis; Mc.Graw Hill. |
9. Burns, Robert B.(2000) Introduction to Research Methods, New Delhi; Sage publications. |
10.Campbell, R. C. (1989) Statistics for Biologist, Cambridge University Press. |
11.Chandra, S.S. and Sharma, R.K., Research in Education, New Delhi: Atlantis Publishers. |
12.Hagood, M.J. and Price, D.O., Theory of sampling. |
13.Mahalanobis, P.G., Experiments in Statistical sampling, Calcutta: ISI. |
14.Maron, J.Melvin, Numerical Analysis a Practical Approach, New York. Macmillion Publishing Co. |
15.Peatman, J.G., Descriptive and sampling Statistics. |
16.Prakash, S.(2006) Theory of Sampling, Xeroxa: BIMTECH. |
17.Reddy, C.R., Research Methodology in social sciences, New Delhi: Daya Publishing House. |
18.Ropper, Karl R. (1968) The Logic of Scientific Discovery, London: Hutchinson. |
19.Sarvavanavel, P.(2003) Research Methodology, Allahabad; Kitab Mahal. |
20.Shanlla K.R. (2002) Research Methodology, New Delhi: National Publishing House. |
21.Weatherburu, C.E.A. (1946) A first course in Mathematical Statistics, Cambridge |
22.Young, P.V., (1988) Scientific Social Surveys & Research, New Delhi: Prentice Hall of India. |
23.Yule, G.V. and Kendall, M.G., An Introduction to the theory of statistics. |
24.Hamming Richard, Numerical Methods for Scientists and Engineers.
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