Visualizing Individual Outcomes of Social Mobility Using Heatmaps
Bibliographic Data
| ID | 2423865 |
|---|---|
| Authors | Patrick Präg (0000-0001-6175-8470, University of Oxford, corresponding author) |
| Year | 2019 |
| Volume | 5 |
| Publication date | 2019-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Socius Sociological Research for a Dynamic World (JOURNAL) |
| Journal identifiers | ISSN: 2378-0231 • E-ISSN: 2378-0231 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2378023119855486 |
| OpenAlex | W2947422802 |
| Language | EN |
| Citations received | 4 |
| References cited | 2 |
Research on the consequences of social mobility usually draws on information about categorical origin and destination variables as well as an outcome variable. The author shows an example of a heatmap created in Stata to visualize the relationship between social mobility and poor self-rated health in Germany and discusses the advantages of this heatmap approach to other visualization approaches
Categorical variable · Data mining · Data science · Machine learning · Outcome (game theory · Social media · Social mobility · Social science · Sociology · Variable (mathematics · Visualization · World Wide Web · Computer Science · Health and Medical Studies · Health disparities and outcomes · Intergenerational and Educational Inequality Studies · Mathematics
How are social origin, destination and mobility linked to physical, mental, and self-rated health? Evidence from the United States
Intragenerational Social Mobility and Well-being in Great Britain
Social Mobility, Health and Wellbeing in Poland
Does downward social mobility make people more hostile towards immigrants
| Citations per year | 0.67 |
|---|---|
| Citation span | 2020 - 2022 (3) |
| Highly cited | No |