This course will enable the students to develop a foundational understanding of statistical methods in behavioral sciences, including both descriptive and inferential statistics, to effectively analyze and interpret data in psychological research
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COURSE |
Course Outcomes |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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24PSY122 |
Statistics in Behavioral Sciences(Theory)
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CO7: Appraise the basic concepts in inferential and descriptive statistics in interpretation of data. CO8: Propose the use of appropriate correlational & Regression models and methods to analyze data. CO9: Compare the inferential statistical methods and the usability across samples. CO10: Determine the uses of different methods of analysis of variance. CO11: Apply and interpret parametric and non-parametric tests and understand their utility. CO12: Contribute effectively in course-specific interactions |
Approach in teaching: Interactive Lectures, Discussion Learning activities for the students: Self-learning assignments, application based questions, Seminar presentation |
Class test, Semester end examinations, Quiz, Assignments, Presentation |
Cumulative Distribution, Normal Distribution, Nature of Normal Distribution, Divergence from Normality - Kurtosis and Skewness; Application of Normal Probability Curve
Biserial, Point Biserial, Phi-Coefficient, Tetrachoric Correlation; Regression and Prediction Analysis; Least Square Solution – Linear
Significance of Mean, S.D., Coefficient of Correlation; Testing Experimental Hypothesis- Z Test, t-Test, Chi-Square, rho.
One Way and Two Way, General Uses and Limitations
Median Test; Mann-Whitney ‘U’ Test; Friedman Two-Way Analysis of Variance
· Garrett, H.E. (2005). Statistics in Psychology and Education. New Delhi: Paragon International Publishers.
· Mangal, S.K. (2002). Statistics in Psychology and Education. New Delhi: Prentice Hall India.
· Minium, E.W., King B.M. & Bear, G. (1995). Statistical Reasoning in Psychology and Education. New York: John Wiley & Sons.
· Seigel S. (1988). Nonparametric Statistics in Behavioral Sciences. New York: McGraw Hill.
Suggested Readings
· Freund, R. J., & Wilson, W. J. (2003). Statistical methods. Elsevier.
· Ott, R. L., & Longnecker, M. T. (2015). An introduction to statistical methods and data analysis. Cengage Learning.
· Singh, A.K. (2017). Tests, Measurements and Research Methods in Behavioural Science. Patna: Bharti Bhavan.
· Welkowitz, J., Ewen, R.B. & Chocen J. (1982). Introduction to Statistics for Behavioural Sciences. New York: Academic Press.
E-Resources
· Statistical Methods for Psychology by David Howell https://labs.la.utexas.edu/gilden/files/2016/05/Statistics-Text.pdf [2]
· Normal Probability Curve https://www.slideshare.net/slideshow/normal-distribution-skewness-and-kurtosis-234859910/234859910 [3]
· Statistics for Psychology file:///C:/Users/pc/Downloads/StatisticsforPsychology6thEdition-ArthurAronElliotCoupsElaineAronPearson2013%20(2).pdf [4]
· Analysis of Variance https://www.simplypsychology.org/anova.html [5]
Non-parametric statistics https://www.slideshare.net/slideshow/non-parametric-statistics-70145722/70145722 [6]
Links:
[1] https://www.psychology.iisuniv.ac.in/courses/subjects/statistics-behavioural-sciences-theory
[2] https://labs.la.utexas.edu/gilden/files/2016/05/Statistics-Text.pdf
[3] https://www.slideshare.net/slideshow/normal-distribution-skewness-and-kurtosis-234859910/234859910
[4] file:///C:/Users/pc/Downloads/StatisticsforPsychology6thEdition-ArthurAronElliotCoupsElaineAronPearson2013%20(2).pdf
[5] https://www.simplypsychology.org/anova.html
[6] https://www.slideshare.net/slideshow/non-parametric-statistics-70145722/70145722
[7] https://www.psychology.iisuniv.ac.in/academic-year/2024-2025