Full text: Wehner, Sigrid: Exploring and visualizing event history data

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BASIC EXPLORATIONS: DESCRIBING DURATIONS 
visual impression of job mobility over life. In contrast to that, job mobility tables 
compare only two time points. 
I added a time slicer to the plot. This tool helps to focus on a specific point on 
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the x-axis. Summary measures are listed at the bottom of the slice box: "percentage 
of persons staying still in the first job", and "percentage of non-employed persons". 
Thus, abstract numbers become visible. 
To summarize the techniques of the skeleton plots, I combined coding, sorting, and 
image compression to a resulting pattern. Additional slicing was demonstrated. 
Further developments could be: 
a definition of a slicer in a user box as Cook/Weisberg" (1994) presented 
linking other variables" to the "skeleton" plot by highlighting. 
» For the German and Norwegian Life History Study, career mobility tables between classes are 
discussed in: Mayer, K.U. et el. (1989). Class Mobility During Working Life: A Comparison of 
Germany and Norway. Transition matrices for men of the birth cohorts 1930,1940,1950 see pp.231- 
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235. 
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wo slices are marked: for the 6-months periods beginning one year and 10 years after start of first 
job. 
Cook, R.D./Weisberg, S. (1994) use a slice-window for regression diagnostics with the R-code in: 
An Introduction to Regression Graphics, pp.24-33,79-81. 
» Examples: highlighting part-time versus full-time jobs, high versus low wages, or marking different 
educational levels.
	        
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