Sidho-Kanho-Birsha University

Syllabus & Course Curriculam

Syllabus (PSYCHOLOGY)

Course Type: MAJ-13

Semester: 7

Course Code: BPSYMAJ13T

Course Title: ADVANCED STATISTICAL APPLICATIONS

(L-P-Tu): 5-0-1

Credit: 6

Practical/Theory: Theory

Course Objective: To impart the theoretical knowledge of statistical methods and their application in psychological research.

Learning Outcome: After completion of the course, the student shall be able to understand to: 1) Articulate basic principles and utility of various statistical methods. 2) Identify the importance of parametric assumptions and consequences of estimating statistical paramete

Course Contents:

UNIT 1: INTRODUCTION

Inferential statistics - Parametric and nonparametric; univariate, bivariate and multivariate statistics; Data screening and perpetration for statistical analysis, choosing an appropriate Statistical Test: Model, efficiency and measurement.

UNIT: 2 INFERENTIAL STATISTICS:

Analysis of variance- concept, assumptions, calculation and uses of two way and Factorial ANOVA. Post-hoc comparisons; Multivariate Analysis of Variance;

UNIT 3: CORRELATION STATISTICS

Biserial , point-biserial, partial and multiple Correlation. Exploring relationship: Multiple regression analyses -Simultaneous, hierarchical and Statistical strategies; Interpretation and tabular presentation of results. Phi, Tetrachoric and Contingency Coefficient: Uses and computation, Comparison of Phi-coefficient and Tetrachoric correlations.

UNIT 4: NON-PARAMETRIC STATISTICS I

Concepts, uses and computation: Chi-Square, Median test, Wilcoxon test, Mann-Whitney U-test, Kolmogorov-Smirnov one- and two-sample tests

UNIT 5: NON-PARAMETRIC STATISTICS II

Kruskal-Wallis H test, Friedman two way analysis of variance, Kendall's coefficient of concordance.

REFERENCES:

  1. N. M. Dowine : Basic Statistical methods, Harper and Publishes New York.
  2. Mc Nemar Q. : Psychological Statistics, 3rd Ed. New York, John Wiley 1962.
  3. Seigel, S. Non-Parametric Statistics for Behavioural Science. New York: McGraw Hill. 1956.
  4. Garrett, H.E. : Statistics in Psychology and Education. New York:Longman, 1950.
  5. Edward, A.E. : Experimental Design in Psychological Research (3rd ed.) New Delhi: American Publishing Co. 1971.
  6. Broota, K.D. : Experimental Design in Correlational Research. New Delhi: Wiley Eastern 1989.
  7. Thorndike, M.: Correlational Procedures for Research. New York: Gardner Press. 1978.
  8. Gupta S.P. : Statistical Methods, Sultan Chand and Sons, New Delhi
  9. Seigal, S.: Non-Parametric Statistics for Behavioural Science. New York: McGraw Hill. 1956.
  10. Garrett, H.E.: Statistics in Psychology and Education. New York Longman, 1950.
  11. Broota, K.D.: Experimental Design in Correlational Research. New Delhi: Wiley Eastern 1989.
  12. Mangal, S.K. (2012).Statistics in Psychology and Education (2nd Ed.). NewDelhi: PHI Learning Pvt. Ltd.
  13. Walker, H.M.: Statistical Inference. New York: Hdt. Rinehart and Winstone, 1953.
  14. Thorndike, M.: Correlational Procedures for Research. New York : Gardner Press. 1978.
  15. Chadha, N. K. (1998). Statistical methods in behavioural and Social Sciences. ND: Relaince Pub. House.
  16. Meyers, L. S., Gamst, G. &Guarino, A.J. (2008). Applied multivariate Research: Design and Interpretation.
  17. Das, D. & Das, A. (2008). Statistics in Biology and Psychology. AcademicPublishers, Calcutta, (Latest edition

Basic Features

Undergraduate degree programmes of either 3 or 4-year duration, with multiple entry and exit points and re-entry options, with appropriate certifications such as: 

Note: The eligibility condition of doing the UG degree (Honours with Research) is- minimum75% marks to be obtained in the first six semesters.

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