PSY 613

Paper Code: 
Statistical Method For Psychological Research II
Credits: 
3
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

Course Outcomes (COs):

 

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

    

 

Unit I: 
Regression

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

 

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 hrs

 

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

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.

Unit V: 
Nonparametric Approaches to Data

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

Essential Readings: 

Essential Readings :

Ø    Aron, A., & Aron, E. N., & Coups, E. J. (2007). Statistics for Psychology (4th Ed). India: Prentice Hall.

Ø    Chadha, N. K. (1991). Statistics for Behavioral and Social Sciences. New Delhi: Reliance Pub. House.

Ø    Field, A. (2009). Discovering Statistics using SPSS (3rd Ed). New Delhi :Sage

Ø    King, B. M. & Minium, E. W. (2007). Statistical Reasoning in the Behavioral Sciences(5th Ed). USA: John Willey

References: 

Essential Readings :

Ø    Aron, A., & Aron, E. N., & Coups, E. J. (2007). Statistics for Psychology (4th Ed). India: Prentice Hall.

Ø    Chadha, N. K. (1991). Statistics for Behavioral and Social Sciences. New Delhi: Reliance Pub. House.

Ø    Field, A. (2009). Discovering Statistics using SPSS (3rd Ed). New Delhi :Sage

Ø    King, B. M. & Minium, E. W. (2007). Statistical Reasoning in the Behavioral Sciences(5th Ed). USA: John Willey

Academic Year: 
2020-21
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