Understand the variables
Review question labels, processed response categories, missing-data treatment, and analysis coding.
Open the codebookExplore selected Wave 7 data
Analyse values across countries without writing code
WorldView provides a point-and-click teaching interface for exploring a processed subset of the World Values Survey Wave 7 dataset.
Describe and compare
Calculate summaries and compare response distributions for selected countries.
Open summary statisticsExamine associations
Calculate flexible Pearson correlations between eligible processed variables.
Open modelsAbout the data
WorldView uses a selected teaching subset of Wave 7. Negative source codes for missing, non-response, and not-asked values are treated as missing rather than substantive responses. Results describe the sampled WorldView dataset and do not establish causation.
Variable documentation
Codebook
Search variables and review how WorldView processes them.
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Explore one variable
Summary statistics
Select a variable and one or more countries. Statistics use the processed WorldView teaching sample.
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Compare response distributions
Cross-tabulations
Compare two categorical variables using counts, row percentages, column percentages, or total percentages.
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Compare distributions
Visualisations
Create accessible bar graphs for one variable across one or more countries.
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Compare countries geographically
World map
Map country-level means, percentages, or valid sample sizes for variables included in WorldView.
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Compare countries in linguistic context
Phylogeny
Display country-level WorldView values on the language phylogeny used by the original application.
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Examine associations
Models
Calculate Pearson correlations between eligible processed variables.
Guide: choosing an analysis
Correlation
Use for the strength and direction of association between two variables. Pearson is for approximately linear numeric relationships; Spearman and Kendall are rank-based and are useful for ordered variables or non-linear monotonic relationships.
Linear regression
Use when the outcome is numeric or treated as a scale and you want to estimate associations with up to five predictors.
Binary logistic regression
Use when the outcome has two categories. Coefficients are presented as log-odds and odds ratios.
One-way ANOVA
Use to compare the mean of a numeric or scale-like outcome across categories of one grouping variable.
Chi-square
Use to examine whether two categorical variables are associated. Review expected-cell warnings before interpreting the result.
These tools are flexible. The availability of a variable does not guarantee that every analysis is substantively or statistically appropriate.
Pearson measures linear association. Spearman and Kendall measure rank association.
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Estimate a linear relationship
Linear regression
Model a numeric or scale-like outcome using one to five predictor variables.
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Model a binary outcome
Binary logistic regression
Estimate the probability of a selected event using one to five predictor variables.
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Compare country means
One-way ANOVA
Compare the mean of one numeric or scale-like outcome across categories of country, sex, denomination, or another binary variable.
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Examine categorical associations
Chi-square test of independence
Test whether the response distributions of two categorical variables are associated.
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About WorldView
About
WorldView is a teaching application for exploring and visualising World Values Survey data without requiring users to process the source data or write R code.
Purpose
The application supports learning about cultural variation through summary statistics, cross-tabulations, visualisations, geographic and phylogenetic comparisons, and introductory statistical models.
Development team
WorldView was developed by Joseph Watts, Nicki Cartlidge, and André De Vito.
- Joseph Watts
- Nicki Cartlidge
- André De Vito
The current static-browser version was adapted from the original WorldView Shiny application for teaching use at the University of Canterbury.
Use and interpretation
WorldView is intentionally flexible. Users remain responsible for selecting analyses appropriate to their variables, assumptions, and research questions.
Sources
Survey data and question wording are derived from World Values Survey Wave 7. Country boundaries use Natural Earth. The phylogeny uses the country-language tree and mapping supplied with the WorldView project.