Statistical Methods for Psychological Research - II

Paper Code: 
PSY 613
Credits: 
3
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

Course Outcomes

Learning and teaching strategies

Assessment Strategies

  
 

On completion of this course, the students will be able to:

CO136: Apply and interpret common inferential statistical tests and correlational methods.

CO137: Describe and utilize principles of probability and hypothesis testing.

CO138: Recognize the importance of the use of anova and the reporting of statistical results in research publications.

CO139: Apply the understanding of calculating categorical data using Chi square Statistics.

CO140: Apply and interpret parametric and non-parametric tests and understand their utility.

Approach in teaching:

Interactive Lectures, Discussion, Tutorials, Reading assignments, Demonstration, Team teaching

Learning activities for the students:

Self-learning assignments, Effective questions, Simulation, Seminar presentation, Giving tasks, Field practical

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects

  

 

9.00
Unit I: 
Regression

Regression lines and equation, error in prediction, Multiple regression equation.

 

9.00
Unit II: 
Significance of Mean and other statistics

Sampling; Standard Error of Measurement- Mean, Median, SD, Correlation; Inference from Large and Small Samples; Degrees of Freedom; Setting up Confidence Intervals for the Population Mean

9.00
Unit III: 
Significance of Difference between Mean

The Difference between Two Independent Means: Null and the Alternative Hypotheses; One-Tailed and Two-Tailed Tests; Computation and Interpretation of t values; Errors in Hypothesis Testing

9.00
Unit IV: 
Analysis of Variance (ANOVA)

Purpose and Assumptions; One way and Two Way Analysis of Variance for Independent Samples. Comparison of t and F

9.00
Unit V: 
Nonparametric Approaches to Data

Introduction to Distribution-free Nonparametric Tests; Comparison with Parametric Tests; Mann Whitney  U Test, Chi-Square

Essential Readings: 
  • Aron, A., & Aron, E. N., & Coups, E. J. (2007). Statistics for Psychology (4th Ed). India: Prentice Hall.
  • Chadha, N. K. (1991). Statistics for Behavioral and Social Sciences. New Delhi: Reliance Pub. House.
  • Field, A. (2009). Discovering Statistics using SPSS (3rd Ed). New Delhi :Sage
  • King, B. M. &Minium, E. W. (2007). Statistical Reasoning in the Behavioral Sciences(5th Ed). USA: John Willey

 

References: 

Suggested Readings

  • Howell, D. (2009). Statistical methods for Psychology. Boston: Cengage Learning.
  • King, B. M. &Minium, E.W, (2007). Statistical Reasoning in the behavioral Sciences. USA: John Wiley & Sons.
  • Mangal, S. K. (2012). Statisticsin Psychology & Education. 2nd Edition. New Delhi: PHI learning Pvt. Ltd.

E Resources

  • ResearchGate
  • JSTOR
  • Proquest
  • Shodhganga
  • Delnet
  • Google Scholar
  • National Digital Library (NPTEL)
  • Academia

Journals

  • Design and analysis of ecological experiments
  • International Conference on Machine Learning
  • Journal of Computational and Graphical Statistics
  • International Journal of Distributed Sensor Networks

 

Academic Year: 
2022-23
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