Learn about boxplots in SPSS with data from the UK Living Cost and Food Survey (2010). Household Income and Accommodation Tenure / Luke Sloan & Rob Angell.
Material type:
TextPublisher: London : SAGE Publications, 2015Description: 1 online resource : illustrations (black and white, and colour)Content type: - text
- still image
- computer
- online resource
- 9781473937833 (ebook) :
- Household income and accommodation tenure
- 001.4226 23
This work introduces readers to boxplots. Boxplots are a useful way of exploring continuous data, especially as a preliminary step before more sophisticated analyses. Boxplots, or, as they are sometimes called, box-whisker diagrams, allow the researcher to better understand the distribution of his or her variables either independently or across groups. As you will also learn, boxplots are an excellent method for identifying outlying cases within the data. To demonstrate this technique, we draw upon a subset of data from the UK Living Cost and Food Survey (LCFS). We assess how a person's weekly household income is distributed across three categories determining their residential tenure: (i) those in public rented accommodation; (ii) those who rent privately; and (iii) those who own their home.
Specialized.
Description based on online resource; title from home page (viewed on May 18, 2015).
Licensed e-book