RESEARCH METHODOLOGY AND SPECIAL SKILLS (COMPULSORY)

Paper Code: 
FSD 141
Credits: 
04
Contact Hours: 
4.00
Max. Marks: 
100.00
Objective: 

This course will enable students to understand and known research methodology, statistical methods, errors in observation & calculations and numerical methods

12.00

  • ·  Research: Meaning, definition, methodology, research process, criterion of good research , Objectives of research and role of research method in fabric and apparel science

    ·  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   

12.00
  • 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 of writing report
12.00
  • Scales of measurement: nominal, ordinal, interval, and ratio. Reliability, validity, specificity and sensitivity of tools
  • Organization and presentation of data:  coding and tabulation, frequency distribution, graphic representation: graphs diagram and charts
  • Characteristics of a distribution: skewness and kurtosis
  • Probability: Basic aspects, Probability of combination of events, Probability of random variables, Distribution of random variable

 

12.00
  • Statistical Methods: Measures of central tendency- mean, mode, median, arithmetic, geometric and harmonic mean
  • Common Distribution functions: Binomial probability distribution, poisson distribution and normal distribution curve.
  • 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.
  • Sampling Distribution and Standard Error: Elements of Testing a Statistical Hypothesis, Formulation of the problem, Types of errors, Level of significance, Large sample tests for proportions, Single mean and difference in two means.
12.00
  • Small sample tests: Application of t- test for testing the significance of single mean & difference in two means (independent and paired-t).
  • Chi-square test for testing normal population variance: Test for goodness of fit, Independence of attributes using 2x2 and rx c contingency tables.
  • F test/ANOVA: Definitions, application of F test for testing of equality of two variances. 
  • Analysis of Variance: Concept, Assumptions, Basic idea of one way and two way classification with simple questions.
Essential Readings: 
  • Agarwal, J.C. (1989) Educational Research – An Introduction, New Delhi: Arya Book Depot.
  • Agrawal, B.L., Basic statistics, New Delhi: New Age publishers.
  • Ahuja Ram (2006) Research Methods, Jaipur: Rawat Publication
  • Kothari, C.R. (1989) Research Methodology: Methods and Techniques, Bangalore: Wiley Eastern.
  • Young, P.V., (1988) Scientific Social Surveys & Research, New Delhi: Prentice Hall of India.

 

References: 
  • Best John W. and Kahn, James V. (2006) Research in Education, NEW Delhi: Prentice Hall of India.
  • Best, J.W. (1989) Research in Education, New Delhi, Prentice Hall of India.
  • Bose, Pradip Kumar (1995) Research Methodology, New Delhi:ICSSR
  • Burns, Robert B.(2000) Introduction to Research Methods, New Delhi; Sage publications.
  • Kharab and Guenther, An Introduction to Numerical Methods: A-MATLAB Approach.
  • Mahalanobis, P.G., Experiments in Statistical sampling, Calcutta: ISI.
  • Maron, J.Melvin, Numerical Analysis a Practical Approach, New York. Macmillion Publishing Co.
  • Minium, E.W. King, B. M. and Bear, G. (1995) Statistical Reasoning in Psychology & Education, New York, John Wiley & Sons.
  • Peatman, J.G., Descriptive and sampling Statistics.
  • Prakash, S.(2006) Theory of Sampling, Xeroxa: BIMTECH.
  • Reddy, C.R., Research Methodology in social sciences, New Delhi: Daya Publishing House.
  • Sarvavanavel, P.(2003) Research Methodology, Allahabad; Kitab Mahal.
  • Saxena H.C., Finite difference and numerical analysis, New Delhi, S Chand & Co.
  • Shanlla K.R. (2002) Research Methodology, New Delhi: National Publishing House.
  • Sharma & Sharma, Numerical analysis, Agra, Ratan Prakashan Mandir.

E- Resources:

Academic Year: 
2025-26
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