Course Outcomes (Cos):
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
On completion of this course, the students will be able to: CO166 Demonstrate the entry and record of data files using SPSS. CO167 Demonstrate and evaluate the graphs and charts through SPSS CO168 Determine the measures of central tendency. CO169 Examine and Appraise different parametric and non-parametric tests using SPSS CO170 Hypothesize a research problem and interpret for correlation and regression analysis using SPSS |
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Practical cases Demonstration, Power point presentation. Learning activities for the students: Self learning assignments, Effective questions, Seminar presentation, Live practical problems analysis |
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.
Managing Data
Missing data, compute variable, recode variable, rank cases, Weighted Cases.
Frequencies, Descriptive, Cross Tabs, Exploratory, Custom Tables.
Visual Statistics using SPSS
Chart Builder, Histograms, Box Plots, Bar Charts, Cluster Bar, Stacked Bar, Error bar, Line charts, Pie charts, Editing graphs and Axes
Descriptive Statistics using SPSS
Measures of central tendency, variabiability, Normality Test, Reliability Analysis.
Parametric Tests- t-test
One Sample, Independent Sample, Paired t test.
Analysis of variance
Assumptions of One Way ANOVA, Testing for differences in mean between the group, Measure of Association, Assumption of Two way ANOVA, Procedure for Testing Two Way ANOVA.
Non Parametric Tests: Mann Whitney U test, Wilcoxon Signed ranks test, Kruskal Wallis Test, Friedman Test.
Chi square Test: Test of Independence, 2x2 Cross tabulation, Layered cross tab, Goodness of fit.
Bi variate Correlation using SPSS
Bi variate Correlation, Partial Correlations and the correlation matrix
Regression: Assumptions
Linear Regression, Multiple Regression
Andy Field, Discovering Statistics Using IBM SPSS Statistics,Sage Publications
Kiran Pandya, Smruti Bulsari, Sanjay Sinha, SPSS in Simple Steps, Dreamtech Press
A. Rajathi & P. Chandran (2012), SPSS for You, MJP publishers.
Lawrence M Mayers, Glenn C Gamst, A J Guarind, Performing Data Analysis Using SPSS, Wiley
SUGGESTED REFERENCE BOOKS
S. Ajai Gaur (2009), Statistical methods for practice & research: A guide to Data Analysis using SPSS, Sage Publishers.
Seyed Reza Hashemian Rahaghi, Farnaz Abed Ashtiani, Basic of Statistics & SPSS, create space independent publishing platform.
Keith Mc Cormick, Jesus Salcedo, Jon Peck, Andrew Wheeler, SPSS Statistics for Data Analysis and Visualization, Wiley
James B Cunningham (2011), Using SPSS: An interactive hands- on Approach, Peacock publisher, 3rd Edition.
e-RESOURCES:
https://web.s.ebscohost.com/ehost/search/basic?vid=0&sid=0c7f189a-083f-4...
http://ww1.shodhganga.com/
https://shodhgangotri.inflibnet.ac.in/
https://www.scopus.com/home.uri
http://www.e-book.com.au/freebooks.htm
https://www.doaj.org/
REFERENCE JOURNALS:
Business Perspectives and Research
FIIB Business Review
Harvard Business Review
IUP Journal of Accounting Research
Jindal Journal of Business Research