What Will You Learn?

• Introduction to SPSS: You will be introduced to the SPSS software interface, learn how to navigate its various components, and understand the basic functions and features of SPSS.
• Data Import and Manipulation: You will discover how to import various types of data into SPSS, including text files, Excel spreadsheets, and databases. You will also explore techniques for cleaning and transforming data, such as handling missing values, recoding variables, and merging datasets.
• Descriptive Statistics: You will learn how to calculate and interpret descriptive statistics, including measures of central tendency, dispersion, and categorical data analysis. You will also explore graphical representations of data using charts, histograms, and other visualizations.
• Inferential Statistics: This unit will cover a range of statistical techniques, such as hypothesis testing, t-tests, ANOVA (Analysis of Variance), correlation analysis, regression analysis, and chi-square tests. You will understand how to apply these techniques to analyze and interpret data, drawing meaningful conclusions from your findings.
• Advanced Techniques: In this section, you will delve into more advanced topics, including factorial ANOVA, MANOVA (Multivariate Analysis of Variance), logistic regression, factor analysis, and cluster analysis. These techniques allow for a deeper exploration of relationships and patterns within data.