RESEARCH METHODOLOGY AND SPECIAL SKILLS

Paper Code: 
HFN 141
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course will enable students to:

  • 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:                                                                                                   

 a) Meaning,

b) Definition,

c) Methodology,

d) Research process, Criterion of good research 

  • Types of Research:
  1. Fundamental or Basic
  2. Applied
  3. Historical, Descriptive
  4. Analytical quantitative
  5. Qualitative
  6. Conceptual   Experimental
  7. Case study
  • Research Design
  1. Meaning
  2. Concepts, need
  3. Designs for different types of research; library
  4. Laboratory and field research; Advantages of Designing Research
  • Research Problem and Developing Research proposal:
  1. Selection of research area and topic
  2. statement of the research problem, its scope
  3. Steps involved in defining the problem.
  • Literature Search:
  1. Reviewing related literature
  2. Referencing, abstracting
  3. Computer search
  4. Bibliography
  5. Evaluation of the problem
  • Defining concepts:
  1. Objectives
  2. Basic assumptions
  3. Delimitations and limitations of the problem
  4. Statement of Hypothesis

 

12.00
Unit II: 
UNIT II
  • Variables:      
  1. Independent and dependent variables
  2. Qualitative and quantitative variables
  3. Discrete and continuous variables
  4. Confounding variables
  5. Methods of controlling variables
  6. Measurement of variables.
  • Sampling:
  1. Meaning
  2. Characteristics of a good sample design
  3. Steps in sampling design
  4. Types
  5. Advantages
  • Techniques of Data Collection:         
  1. Primary data; Questionnaire
  2. Schedules
  3. Interview observation & other methods
  4. Secondary data
  5. Reliability
  6. Suitability & Adequacy of data.
  • Processing and Analysis of Data:
  1. Processing Operations
  2. Editing
  3. Coding,
  4. Classification and tabulation of data
  5. Elements of Data Analysis Role of statistics in Data Analysis
  6. Statistical Tables
  • Report writing:
  1.  Types
  2. Format of writing the report

 

12.00
Unit III: 
UNIT III
  • Probability:
  1. Probability
  2. Basic Aspects
  3. Probability of combination of events
  4. Probability of random variables
  5. Distribution of random variable
  6.  
  • Statistical Methods:
  1. Measures of Central tendency- Mean,
  2. Median, Mode
  3. Arithmetic
  4. Geometric and Harmonic mean. 
  • Common Distribution functions:
  1.  Binomial probability distribution
  2. Poisson distribution and normal distribution curve.
  • Measures of Dispersion
  1. Range
  2. Mean Deviation
  3. Variance
  4. Standard Deviation
  5. Coefficient of variation
  • Regression and Correlation:
  1. Least square method of fitting a regression line
  2. Curvilinear regression
  3. Correlation methods
  4. Correlation coefficient.

 

12.00
Unit IV: 
UNIT IV
  • Sampling Distribution and Standard Error:

a)       Elements of Testing a Statistical Hypothesis

b)       Formulation of the problem, Types of errors

c)      Level of significance

d)     Large sample tests for proportions

e)      Single mean and difference in two means.

  • Small sample tests:

a)      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:

a)      Test for goodness of fit

b)      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:
  1. Concept
  2. Assumptions
  3. Basic idea of one way and two way classification with simple questions.

 

Essential Readings: 
  • Allen, R.G.D.(1958) Statistics for Economics, London: Allen & Unwin.
  • Aberth Oliver, Precise Numerical Methods using C++.
  • 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
  • Anderson T.W. An Introduction to Multivariate Statistical Analysis, New Delhi: Wiley Eastern Publication Ltd.
  • Bernad Oste and Mensing R.W. (1975) Statistics in Research Ames: The Lowa State University Press.
  • 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.
  • Campbell, R. C. (1989) Statistics for Biologist, Cambridge University Press.
  • Chandra, S.S. and Sharma, R.K., Research in Education, New Delhi: Atlantis Publishers.
  • Gupta, S.P.: Statistical Methods, Sultan Chand and Company, New Delhi.
  • Elhane,D.N.: Fundamentals of Statistics, Kitab Mahal,Allahbad.
  • Agarwal, J.C.: Educationl Research- An Introduction, Arya Book Depot, New Delhi.
  • Chadra, S.S. and Sharma, R.K.: Research in Education, Atlantis Publishers, New Delhi.
  • Shukla,M.C. and Gulshan S.S.: Statistics Theory and Practice, Sultan Chand and Company, New Delhi.
  • Gupta, S.C. and Kapoor V.K.: Fundamental of Mathematical Statistics, Sultan Chand and Company, New Delhi
  • Kothari, C.R. (1989) Research Methodology: Methods and Techniques, Bangalore: Wiley Eastern.
  • Mahalanobis, P.G., Experiments in Statistical sampling, Calcutta: ISI.
  • Maron, J.Melvin, Numerical Analysis a Practical Approach, New York. Macmillion Publishing Co.
  • Peatman, J.G., Descriptive and sampling Statistics.
  • Reddy, C.R., Research Methodology in social sciences, New Delhi: Daya Publishing House.
  • Rosander, A.C.(1965) Elements of Probability and Principles of Statistics, Calcutta: East West Press.
  • 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.

 

 

 

 

Academic Year: