Schedule


FRIDAY
9-10 a.m.
Recent stories using advanced techniques, from rotten meat to jury pools
10-11 a.m.
From database managers to more powerful software: simple tasks in SPSS that will save time every day
11 a.m.-noon
The basics of data analysis: Units of analysis and the data ladder
noon-1 p.m.
Lunch
1-2 p.m.
Recoding: From values to categories and back
2-4 p.m.
Working with many categorical variables: Frequencies, crosstabs, layered crosstabs and significance testing on rates
4-5 p.m.
Overview of sampling

SATURDAY
9-10 a.m.
From categorical to continuous variables: Ranges, descriptives and pictures
10-11 a.m.
Mixing categorical and continuous -- ANOVAs
11 a.m.-noon
Working with many continuous variables: Correlations, scatter plots
noon-1 p.m.
Lunch
1-2 p.m.
The basics of linear regressions
2-4 p.m.
Diagnosing your regressions: You're not done yet
4-5 p.m.
Going further with predictive models -- the basics of dummy variables and logistic regressions

SUNDAY
9-9:30 a.m.
Great graphics and what they have in common
9:30 a.m.-noon
More data analysis tools for Census and other data: Gini, diversity and segregation measures
Noon-1 p.m.
Lunch
1-2 p.m.
Combining many measures into indexes, from school quality to quality of life
2-3 p.m.
(Optional) Question-and-answer session
3-4 p.m.
(Optional) Open lab

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