Good data analysis consists of three phases: (1) preliminary analysis,
(2) confirmatory analysis (model testing), and (3) interior analysis
(model checking). Social scientists doing quantitative research usuall
y concentrate on only one of the three: confirmatory analysis. I argue
that there is much to be learned from careful preliminary and interio
r analyses. I present an extensive example of data analysis for each o
f the three phases using the same data set in each phase. Rather than
surveying all the possible tools available in each phase of data analy
sis, I concentrate on Exploratory Data Analysis techniques (stem-and-l
eaf plot, letter-value display, box plot, and power transformations) f
or the preliminary phase, on OLS for the confirmatory phase, and on re
siduals, leverage and single-case influence measures for interior anal
ysis.