Coming soon
Research in Finance-Practical
This course will enable students to proficiently utilize SPSS for data management, visualization, and statistical analysis, including parametric and non-parametric tests, correlation, and regression, facilitating comprehensive research and data-driven decision-making.
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Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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24DFSG 714 |
Research in Finance (Practical)
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CO259: Demonstrate the entry and record of data files using SPSS. CO260: Demonstrate and evaluate the graphs and charts through SPSS CO261: Determine the measures of central tendency. CO262: Examine and Appraise different parametric and non-parametric tests using SPSS CO263: Hypothesize a research problem and interpret it for correlation and regression analysis using SPSS CO264: Contribute effectively in course-specific interaction
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Approach in teaching: Interactive Lectures, discussions, Tutorials, Practical cases Power point presentations. Learning activities for the students: Self-learning assignments, Seminar presentation, Live practical problems analysis |
CA test, Semester end examinations, Solving problems in tutorials, and Presentations. |
• 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.
• 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.
• 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.
• 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, 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 Readings:
• 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-Content:
• 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
