Research Methodology and Statistics

Paper Code: 
HCT-141
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 
  • To know the significance of research methodology and application of statistics in Home Science
  • To understand the types, tools and methods of research and develop the ability to construct data gathering instruments appropriate to the research design
  • To understand the implications of statistical parameters in drawing inferences of research

 

 

12.00
Unit I: 
Unit I
  • 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.

 

 

12.00
Unit II: 
Unit II
  • 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 the report

 

12.00
Unit III: 
Unit III
  • Probability: 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.
  • 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.

 

 

12.00
Unit IV: 
Unit IV
  • 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.
  • 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).
  • Definitions of F test, application of F test for testing of equality of two variances.

 

12.00
Unit V: 
Unit V
  • Experimental design
    1. Completer random design
    2. Random Block Design
    3. Latin square design
  • Analysis of Variance- Concept, assumptions, basic idea of one way and two-way classification with simple questions.

 

Essential Readings: 
  • Aberth, O. (n.d.). Precise numerical methods using C++.
  • Agarwal, B. L. (n.d.). Basic statistics. New Age Publishers.
  • Agarwal, J. C. (1989). Educational research: An introduction. Arya Book Depot.
  • Ahuja, R. (2006). Research methods. Rawat Publication.
  • Allen, R. G. D. (1958). Statistics for economics. Allen & Unwin.
  • Anderson, T. W. (n.d.). An introduction to multivariate statistical analysis. Wiley Eastern Publication Ltd.
  • Bernad, O., & Mensing, R. W. (1975). Statistics in research. The Iowa State University Press.
  • Best, J. W. (1989). Research in education. Prentice Hall of India.
  • Best, J. W., & Kahn, J. V. (2006). Research in education. Prentice Hall of India.
  • Bose, P. K. (1995). Research methodology. Indian Council of Social Science Research (ICSSR).
  • Burns, R. B. (2000). Introduction to research methods. Sage Publications.
  • Campbell, R. C. (1989). Statistics for biologists. Cambridge University Press.
  • Chandra, S. S., & Sharma, R. K. (n.d.). Research in education. Atlantis Publishers.
  • Gupta, S. C., & Kapoor, V. K. (n.d.). Fundamentals of mathematical statistics. Sultan Chand & Company.
  • Gupta, S. P. (n.d.). Statistical methods. Sultan Chand & Company.
  • Kothari, C. R. (1989). Research methodology: Methods and techniques. Wiley Eastern.
  • Mahalanobis, P. G. (n.d.). Experiments in statistical sampling. Indian Statistical Institute.
  • Maron, J. M. (n.d.). Numerical analysis: A practical approach. Macmillan Publishing Co.
  • Peatman, J. G. (n.d.). Descriptive and sampling statistics.
  • Reddy, C. R. (n.d.). Research methodology in social sciences. Daya Publishing House.
  • Rosander, A. C. (1965). Elements of probability and principles of statistics. East-West Press.
  • Saravanavel, P. (2003). Research methodology. Kitab Mahal.
  • Saxena, H. C. (n.d.). Finite difference and numerical analysis. S. Chand & Co.
  • Shukla, M. C., & Gulshan, S. S. (n.d.). Statistics: Theory and practice. Sultan Chand & Company.

 

Academic Year: 
2025-2026
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