Course Objectives:
The course will enable students to -
Course Outcomes (COs):
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
|
Paper Code |
Paper Title |
|||
ATG / BSG / FSG 125 |
Introduction to SPSS (Practical) |
The students will be able to –
CO21: Have basic knowledge on qualitative research techniques. CO22: Have adequate knowledge on measurement & scaling techniques as well as the quantitative data analysis. CO23: Have basic awareness of data analysis-and hypothesis testing procedures |
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Reading assignments, Team teaching
Learning activities for the students: Field activities, Presentation, Giving tasks |
Quiz, test, assignments and viva-voce |
: Creating a data file, defining variables, Data Entry, inserting variable, measurement scales, inserting cases, identifying duplicate cases, sorting cases, merging & splitting files, select case.
Missing data, compute variable, recode variable, rank cases, Weighted Cases, .
Frequencies, Descriptive, Cross Tabs, Exploratory, Custom Tables.
Line Chart, Pie chart, Bar Chart, Histograms & standard Normal curve, Box Plots, outliers, Scatter plot, P-P plot, Q-Q plot, Editing graphs and Axes.
Measures of central tendency, variability, deviation from normality, confidence level, Confidence Intervals, Power of the test, Normal Curve, Normality Test, Reliability Analysis.
Bivariate Correlation, Partial Correlations and the correlation matrix.
1. James B Cunningham, Using SPSS: An interactive hands-on Approach, Peacock publisher, 3rd Edition.
2. A. Rajathi& P. Chandran, SPSS for You, MJP publishers.
3. Seyed Reza HashemianRahaghi, Farnaz Abed Ashtiani, Basic of Statistics & SPSS, create space independent publishing platform.
4. Robert H. Carver, Doing Data Analysis with SPSS version 18.0, Cengage publishers.
5. S. Ajai Gaur, Statistical methods for practice & research: A guide to Data Analysis using SPSS, Sage Publishers.