Is SPSS used in qualitative data analysis only?

No, SPSS (Statistical Package for the Social Sciences) is not limited to qualitative data analysis only. In fact, SPSS is primarily designed for quantitative data analysis, which involves analyzing numerical data using statistical techniques. It is widely used in fields such as social sciences, psychology, economics, and market research.

SPSS provides a range of features and tools for SPSS quantitative data analysis, including:

1. Descriptive statistics: SPSS allows you to calculate and summarize descriptive statistics such as means, standard deviations, frequencies, and percentages. These statistics provide an overview of the distribution and characteristics of your data.

2. Inferential statistics: SPSS offers a variety of statistical tests for making inferences about populations based on sample data. These tests include t-tests, ANOVA (Analysis of Variance), chi-square tests, correlation analysis, regression analysis, and more.

3. Data manipulation: SPSS provides functionalities to manipulate and transform data. You can recode variables, compute new variables, merge datasets, filter cases, and perform various data transformations to prepare your data for analysis.

4. Data visualization: SPSS enables you to create charts, graphs, and plots to visually represent your data. This helps in understanding patterns, relationships, and trends in the data.

5. Advanced statistical techniques: In addition to basic statistical tests, SPSS also supports more advanced techniques. For example, it offers tools for factor analysis, cluster analysis, discriminant analysis, survival analysis, and nonparametric tests.