Data Link Institute of Business and Technology, Tema, Greater Accra, Ghana, Africa
Dr. Satyendra Singh
Professor, Marketing and International Business
University of Winnipeg, Canada
sites.google.com/view/drsatsingh
SPSS in Business Modelling (MSc) Course Outline
June 18-23, 2024
Overview
SPSS (Statistical Package for Social Science) is a statistical tool for data analysis. The primary objective of this course is to provide participants with a basic knowledge of the program in order to be able to use it in a socio-economic context and in the exploration of corporate data.
Learning Outcome
Upon successful completion of this course, the student should be able to:
Understand the main features of SPSS, Use the SPSS GUI effectively, Perform descriptive analyses with SPSS, Perform common parametric and non-parametric tests, Perform simple regressions and multivariate analyses (factor and cluster)
Proposed Topics
Introduction to SPSS, SPSS Environment: data editor, output viewer, syntax editor, Data view window, SPSS Syntax, Data creation, Importing data, Variable types in SPSS and Defining variables, Creating a Codebook in SPSS
Working with Data
Computing Variables –
Recoding (Transforming) Variables: Recoding Categorical String Variables using Automatic Recode - Rank Cases - Sorting Data - Grouping or Splitting Data.
Exploring Data
Descriptive Statistics for Continuous Variables, The Explore procedure, Frequencies Procedure, Descriptive, Means, Frequencies for Categorical Data
Analyzing Data
Inferential Statistics for Association: Pearson Correlation, Chi-square Test of Independence, Inferential Statistics for Comparing Means: One Sample t Test, Paired-Samples T Test, Independent Samples T Test, One-Way ANOVA
PPT Slides
June 18-23, 2024
PowerPoint: Statistics and SPSS
Data file: To be created in the Class (Case Study)
Topics: Scales, Data integrity, One-Way ANOVA, T-test, Chi-square test, and Regression Analysis
PowerPoint: Factor analysis
Data file (.sav): Beer data
Reading pdf: Factor Analysis journal article (Singh)
PowerPoint: Cluster Analysis
Data file (.sav): Luxury data
Reading pdf: Cluster Chapter (SPSS Manual)