This course will enable students to gain practical knowledge of SPSS software, including data entry, descriptive and bivariate statistics, and graphical data representation.
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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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25CPSY402 |
Introduction to SPSS (Practical)
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CO37: Students will acquire basic knowledge of SPSS software. CO38: Understand the process of descriptive statistics and demonstrate knowledge regarding bivariate analysis of data. CO39: Demonstrate an understanding of t-test, ANOVA and chi-square techniques of data analysis. CO40: Contribute effectively in course-specific interaction. |
Approach in teaching: Discussion, Demonstration Learning activities for the students: Hands on practice, Assignments |
Observation, Presentation of results, interpretation of findings |
Exercise
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1 |
Entering and Editing Data: Importing from Excel; Characteristics of Variables; Adding Value Labels; Grouping Data
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2 |
Measures of central tendency: mean, median and mode
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3 |
Measure of Dispersion: Range, Quartile Deviation, Standard deviation |
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4 |
Graphical representation of data: Bar Charts; Histograms; Pie Charts; Boxplots
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5 |
Correlation: Pearson Method and Rank order correlation
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Links:
[1] https://www.psychology.iisuniv.ac.in/courses/subjects/introduction-spss-practical
[2] https://www.psychology.iisuniv.ac.in/academic-year/2025-2026