Q&A for How to Analyse Data Using SPSS

SPSS allows for the analysis of various types of variables. The software supports both categorical (nominal and ordinal) and continuous (interval and ratio) variables. Here are some common examples of variables that can be analyzed in SPSS: Categorical Variables, Continuous Variables, Ordinal Variables, and Derived Variables. SPSS provides specific procedures and tests suitable for analyzing different types of variables. The choice of analysis depends on the research question, the nature of the data, and the level of measurement of the variables.

SPSS (Statistical Package for the Social Sciences) is a powerful software program used for statistical analysis, data management, and decision-making. It is widely utilized across industries such as market research, healthcare, education, and government for analyzing complex data sets and generating actionable insights.

As of August 5, 2025, the latest released version of IBM SPSS Statistics is version 31, commonly known as SPSS Statistics 31. This version, launched in 2024/2025, includes new features such as Proximity Mapping, Time Series Filtering, and Distance Correlation.

You can easily analyze spreadsheets using SPSS by first importing your data and then applying the software’s powerful statistical tools. Start by saving your spreadsheet (usually Excel) in a compatible format like .xlsx or .csv. In SPSS, go to File > Open > Data, select your file, and ensure variable names and data types are correctly assigned. Once your data is loaded, you can perform descriptive statistics, correlations, regression analysis, or even advanced techniques like factor analysis.