Basic Statistical Data Analysis with SPSS

By Fitsum Kibreab Categories: statis
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About Course

Basic Statistical Data Analysis with SPSS is an essential guide for beginners seeking to navigate the fundamentals of statistical analysis using SPSS (Statistical Package for the Social Sciences). This software is widely utilized across various fields, including social sciences, health sciences, and business, for its user-friendly interface that simplifies data management and analysis. The course covers core statistical concepts alongside practical applications, teaching readers how to input data, perform basic statistical tests such as descriptive statistics, t-tests, ANOVA and visualize results effectively. By focusing on hands-on exercises with sample datasets, this resource enhances the learner’s proficiency in SPSS, empowering them to interpret data and make informed decisions based on their analyses. Whether for academic research or professional projects, this course provides the foundational knowledge and skills needed to conduct basic statistical analyses confidently using SPSS.

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What Will You Learn?

  • 1.Overview of IBM SPSS: Familiarization with the SPSS interface, variable definition, and data entry methods, including importing from Excel.
  • 2. Data Manipulation: Skills in data cleaning, creating and recoding variables, merging datasets, filtering, sorting, and managing file splits for effective data preparation.
  • 3. Descriptive Statistics: Understanding measures of central tendency and variability, frequency distributions, and data visualization techniques such as bar graphs, histograms, scatterplots, and box plots.
  • 4. Inferential Statistics - Parametric Tests: Concepts of confidence intervals and hypothesis testing, along with practical applications of t-tests, ANOVA, and correlation analysis.
  • 5. Inferential Statistics - Non-Parametric Tests: Introduction to non-parametric methods like the Wilcoxon signed-rank test and Mann-Whitney U test for analyzing data that does not meet parametric assumptions.

Course Content

Basic Statistical Data Analysis with SPSS

Module 1: Overview of IBM SPSS
This module aims to provide a comprehensive introduction to IBM SPSS, a powerful software tool widely used for statistical analysis, data manipulation, and visualization. By the end of this module, learners will gain an understanding of the SPSS interface, learn how to navigate its various windows, define variables, and create datasets, both through manual entry and by importing data from Excel. The module includes hands-on exercises to reinforce learning outcomes, ensuring that participants can confidently utilize the various functionalities of IBM SPSS for their data analysis needs.

Module 2: Data manipulation
Module 2: Data manipulationModule 2: Data manipulationModule 2: Data manipulationModule 2: Data manipulation

Module 3: Descriptive Statistics
Module 3: Descriptive StatisticsModule 3: Descriptive StatisticsModule 3: Descriptive StatisticsModule 3: Descriptive Statistics

Module 4: Inferential Statistics-Parametric tests
Module 4: Inferential Statistics-Parametric testsModule 4: Inferential Statistics-Parametric testsModule 4: Inferential Statistics-Parametric testsModule 4: Inferential Statistics-Parametric tests

Module5: Inferential Statistics-Non-parametric tests
Module5: Inferential Statistics-Non-parametric testsModule5: Inferential Statistics-Non-parametric testsModule5: Inferential Statistics-Non-parametric tests

Module 6: Exercises
Module5: Inferential Statistics-Non-parametric tests ExercisesModule5: Inferential Statistics-Non-parametric tests Exercises

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