Analyzing Nordic Cultural Values Through SPSS: A Guide for FIN225 Assignments

Introduction: Why SPSS for Nordic Studies?

In Winter 2026, FIN225 students at the University of Toronto explore the Nordic model, gender egalitarianism, and environmental sustainability through literature, film, and cultural objects. But how do you turn qualitative insights into quantitative evidence for your final paper? SPSS (Statistical Package for the Social Sciences) is a powerful tool to analyze survey data on Nordic values. Whether you're examining attitudes toward the welfare state or the popularity of hygge in North America, SPSS helps you identify patterns and test hypotheses. This tutorial will guide you through a typical analysis, from data entry to interpretation, using a timely example: a 2026 survey on perceptions of Nordic happiness.

Step 1: Setting Up Your Data in SPSS

Imagine you've collected survey responses from 100 students on their agreement with statements like 'The Nordic welfare state promotes gender equality' (1=Strongly Disagree, 5=Strongly Agree). Open SPSS and click on the 'Variable View' tab. Define your variables: 'ID' (numeric), 'Gender' (numeric with values 1=Male, 2=Female, 3=Non-binary), 'Age' (numeric), 'NordicHappiness' (numeric, 1-5), 'WelfareSupport' (numeric, 1-5), and 'EcoConcern' (numeric, 1-5). For categorical variables, set 'Values' labels. For example, in the 'Values' column for 'Gender', click '...' and add 1='Male', 2='Female', 3='Non-binary'. Switch to 'Data View' to enter your responses. If you have an Excel file, go to File > Import Data > Excel and select your file.

Step 2: Descriptive Statistics – Understanding Your Sample

To get a quick overview, go to Analyze > Descriptive Statistics > Frequencies. Move 'Gender' and 'Age' into the 'Variable(s)' box. Click 'Charts' and select 'Bar charts' for Gender. Click 'Continue' then 'OK'. SPSS will output a table showing that, for instance, 55% of respondents are female, 40% male, and 5% non-binary. Similarly, use 'Descriptives' for 'NordicHappiness' to find the mean (e.g., 3.8) and standard deviation (0.9). This tells you that on average, students slightly agree that Nordic countries are happy, but with some variation. These statistics are crucial for your final paper's methods section.

Step 3: Exploring Relationships – Correlations

You might hypothesize that support for the welfare state correlates with environmental concern. Go to Analyze > Correlate > Bivariate. Select 'WelfareSupport' and 'EcoConcern' and click 'OK'. The output shows a Pearson correlation coefficient (r). If r = 0.45 with a p-value of 0.001, there is a moderate positive correlation, meaning that as welfare support increases, environmental concern also tends to increase. This finding could be linked to the Nordic concept of folk environmentalism, discussed in Week 9 of your course. Remember to check for significance (p < 0.05) before claiming a relationship.

Step 4: Comparing Groups – T-Tests and ANOVA

Do male and female students differ in their perception of Nordic happiness? Use an independent samples t-test. Go to Analyze > Compare Means > Independent-Samples T Test. Put 'NordicHappiness' as the 'Test Variable' and 'Gender' as the 'Grouping Variable'. Define groups as 1 and 2 (Male and Female). Click 'OK'. The output includes Levene's test for equality of variances. If the t-test is significant (p < 0.05), you can conclude that gender differences exist. For example, females might rate Nordic happiness higher (mean=4.0) than males (mean=3.6). This ties into discussions on gender egalitarianism in Ibsen's Hedda Gabler and the film Through a Glass Darkly.

For comparing three or more groups (e.g., age categories), use one-way ANOVA. Recode 'Age' into groups: 18-25, 26-35, 36-45. Then go to Analyze > Compare Means > One-Way ANOVA. Select 'WelfareSupport' as dependent, and the new age group variable as factor. Post-hoc tests (e.g., Tukey) can show which groups differ. This is useful for analyzing how generational attitudes toward the welfare state vary, a key topic in your course.

Step 5: Visualizing Your Results

SPSS can create publication-ready charts. For a bar chart of mean 'NordicHappiness' by gender, go to Graphs > Chart Builder. Choose 'Bar', drag 'NordicHappiness' to the Y-axis and 'Gender' to the X-axis. Click 'OK'. You can edit the chart to add error bars (Options > Display error bars) and a title like 'Perceived Nordic Happiness by Gender'. Save the chart as an image to include in your final paper. Similarly, a scatterplot of 'WelfareSupport' vs 'EcoConcern' with a fit line can visually demonstrate the correlation.

Step 6: Interpreting Output for Your FIN225 Paper

Your final paper on Nordic society should integrate SPSS findings with course readings. For example, if you find that students with higher 'EcoConcern' also score higher on 'NordicHappiness', you can argue that environmental sustainability (as in Icelandic folktales and the film Greetings from Lappland) is central to Nordic identity. Use the SPSS output to support your thesis, but always explain the statistical results in plain language. Remember to report effect sizes (e.g., Cohen's d for t-tests) and confidence intervals.

Conclusion: SPSS as a Tool for Cultural Analysis

SPSS is not just for scientists; it's a valuable tool for humanities students to bring quantitative rigor to cultural studies. For FIN225, you can analyze survey data on topics like 'hygge' consumption, attitudes toward gender roles, or support for the welfare state. By following these steps—data setup, descriptive statistics, correlations, group comparisons, and visualization—you'll be able to produce compelling evidence for your final paper. As of May 2026, consider using real-world surveys from Nordic think tanks or your own class data to make your analysis timely. Good luck!