I’ve just uploaded a new tutorial 3.2.4 Income differences – Elaboration to my site.
http://surveyresearch.weebly.com/uploads/2/9/9/8/2998485/3.2.4a__income_differences__elaboration.pdf
It examines what happens to differences in earnings of men and women when controlling for selected (combinations of) test variables. It relies on epsilon (percentage point difference) which is best used with dichotomised data, but can be used to compare any two categories of variables with three or four categories. It’s not particularly sophisticated as it loses information when categories are condensed, but it was good enough for Rosenberg (The Logic of Survey Analysis, Basic Books, 1968). It’s easily understood by beginners, simple to specify tables in SPSS and very useful for making students think about effects and interactions.
Analysis is by tabulation in contingency tables using SPSS CROSSTABS but later analysis demonstrates how CTABLES produces neater, cleaner and more sophisticated tables. The data used are from the 1989 British Social Attitudes survey, but I plan to use the same logic and process on the 2011 and 2013 waves as well as on recent waves of other major surveys such as the ONS Wellbeing module, Understanding Society, the European Social Survey and the NORC General Social Survey.
It’s free to download, so feel free to use it yourselves or distribute to students and colleagues, but I’d be grateful for feedback on my closing paragraphs on p.14, or indeed for comments and suggestions on the whole thing.
Thanks in advance
John F Hall (Mr)
[Retired academic survey researcher]
Email: [hidden email]
Website: www.surveyresearch.weebly.com
SPSS start page: www.surveyresearch.weebly.com/1-survey-analysis-workshop
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