SPSS for Beginners: How to Run and Interpret Your First Analysis

SPSS is one of the most widely used statistics packages in psychology, social sciences, and business research. If you are using it for the first time, this beginner-friendly guide will get you from raw data to a confident interpretation.

Step 1: Set up your data

SPSS has two views:

Data View — where your raw values go (one row per participant).

Variable View — where you name and define each variable, its type, and its measurement level (nominal, ordinal, or scale).

Step 2: Run descriptive statistics

Start by understanding your data. Go to Analyze > Descriptive Statistics > Descriptives to get the mean, standard deviation, minimum, and maximum for each variable.

Step 3: Run an independent-samples t-test

A t-test compares the means of two groups. Use Analyze > Compare Means > Independent-Samples T Test. Set your test variable and grouping variable.

Step 4: Interpret the output

Look at the Sig. (2-tailed) value:

If it is below 0.05, the difference between groups is statistically significant.

If it is above 0.05, there is no significant difference.

Always report the means, the t value, the degrees of freedom, and the p value.

Common beginner mistakes

Choosing the wrong measurement level for variables

Forgetting to check assumptions (normality, equal variances)

Reporting significance without reporting effect size

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