SPSS Simplified: Your Guide to Mastering Statistical Analysis with SPSS

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About Course

SPSS Simplified: Your Guide to Mastering Statistical Analysis with SPSS is a comprehensive online course designed for students, researchers, and professionals seeking to gain proficiency in using SPSS for statistical analysis. This course demystifies the complexities of SPSS (Statistical Package for the Social Sciences) and provides a step-by-step guide to mastering this powerful software tool.

Course Objectives:

  • To introduce the fundamentals of SPSS and its interface.
  • To teach practical skills for data entry, manipulation, and management in SPSS.
  • To guide learners through the process of performing basic to advanced statistical analyses using SPSS.
  • To interpret and present data findings effectively.
  • To empower learners with the confidence to apply SPSS skills in academic, research, and professional settings.

Module Breakdown:

  1. Introduction to SPSS:
    • Overview of SPSS and its significance in statistical analysis.
    • Navigating the SPSS interface and environment.
  2. Data Management in SPSS:
    • Techniques for data entry and importing data from various sources.
  3. Descriptive Statistics:
    • Understanding and computing basic statistical measures like mean, median, mode, standard deviation.
    • Creating and interpreting frequency distributions and cross-tabulations.
  4. Inferential Statistics:
    • Fundamentals of hypothesis testing.
    • Performing t-tests, ANOVA and correlation analysis.
  5. Advanced Statistical Techniques:
    • Exploring advanced techniques like factor analysis
    • Practical applications of these techniques.
  6. Interpreting and Reporting Findings:
    • Techniques for interpreting SPSS output.
    • Best practices for reporting and presenting statistical findings.
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What Will You Learn?

  • Enhanced Data Analysis Skills
  • Practical, Hands-on Experience
  • Proficiency in SPSS
  • Comprehensive Understanding of Statistical Concepts

Course Content

Introduction to the course

How to Enter Data into SPSS
SPSS for Beginners is a new series of SPSS explainer videos. We begin with describing How to Enter Data into SPSS. In this video we discuss how to describe the variables through the variable view.

Descriptive Statistics with SPSS
Descriptive Statistics with SPSS is an explainer video on descriptive statistical analysis using the SPSS software. Dr. Uma Shankar Pandey discusses the three different ways in which the Descriptive Analysis can be performed. Measures of Central Tendency, Dispersion, Position, Skewness and Kurtosis are discussed here.

How to do t-test in SPSS
How to do t-test in SPSS is an explainer video on comparing means between two groups using the Independent Samples t-test. Dr. Uma Shankar Pandey demonstrates the various steps involved in the t-test. The Levene's test for homogeneity of variance is also discussed.

How to Do Chi Square Test in SPSS
How to Do Chi Square Test in SPSS demonstrates two different ways in which the Chi Square Test of Association and Test of Independence can be done. Dr. Uma Shankar Pandey explains different steps involved in the test of association between two nominal variables.

How to Do Correlation in SPSS
How to Do Correlation in SPSS demonstrates how to get the Pearson Correlation Coefficient for two scale variables in SPSS. Dr. Uma Shankar Pandey also demonstrates a graphical visualization of the linear relationship between two scale variables.

ANOVA Test In SPSS – Explained Step by Step
ANOVA Test In SPSS - Explained Step by Step demonstrates the One-Way ANOVA Test in SPSS. Dr. Uma Shankar Pandey explains the two main steps involved in the process. First is an omnibus test to find out if there are significant differences between groups and then a post hoc test to find out which groups are different.

Factor Analysis in SPSS Explained
'Factor Analysis in SPSS Explained' demonstrates the important steps of Exploratory Factor Analysis. Dr. Uma Shankar Pandey describes the important assumptions of the dimension reduction in SPSS and how the factors are extracted through the Principal Axis Factoring method.

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