Analysis through Statistical Software

Paper Code: 
PSY 227
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

COURSE OUTCOMES

Course Outcomes

Learning and teaching strategies

Assessment Strategies

  
 

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

CO86: Students will acquire basic knowledge of SPSS software.

CO87: Understand the process of descriptive statistics.

CO88: Demonstrate knowledge regarding bivariate analysis of data.

CO89: Demonstrate an understanding of t-test.

CO90: Develop knowledge of ANOVA and chi-square techniques of data analysis.

Approach in teaching:

Discussion, Demonstration, Action Research, Project, Field Trip

Learning activities for the students:

Field activities, Simulation, Presentation, Giving tasks

Observation, Presentation, Report writing

  

 

12.00
Unit I: 
Basics of SPSS and Graphical Representation of Data

Introduction to SPSS, Data entry in SPSS, Graphical Representation of Data

 

12.00
Unit II: 
Univariate Analysis

Measures of Central Tendency, Dispersion, Skewness and Kurtosis, Normal probability curve.

 

12.00
Unit III: 
Bivariate Analysis

Correlation, Regression Analysis

12.00
Unit IV: 
t-tests

One sample t test, Two independent samples t test, Paired samples t test

 

12.00
Unit V: 
Analysis of Variance and chi-square test

One-way ANOVA, Two Way ANOVA, Chi-square test

 

Essential Readings: 
  • Field, A. (2018). Discovering Statistics using IBM SPSS Statistics (5th edition). SAGE: New Delhi.
  • Meyers, L.S. (2013).  Performing Data Analysis Using IBM SPSS. Wiley: New Jersey.

 

Academic Year: 
2022-23
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