Statistical Analysis – Part 2

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Presentation transcript:

Statistical Analysis – Part 2 Yale Braunstein School of Information Management & Systems

Sources of Error The respondent The investigator Sampling error Change in the system itself Coding & analysis Other

Measures of Central Tendency Distinguish between numerical & categorical data Understand the differences between the different measures of “the average” Mean Median (middle value) Mode (most common value) Example: David Lazarus on PG&E bonus payments, SF Gate, March 12, 2003. Consider the dispersion around the center

Demos of Excel & SPSS Sample data sets available from the course download page Student height & weight Oakland voter profile U.S. colleges (with detailed comparison of 4 private colleges) There are also links to: Comparison of Excel & SPSS MS for “Pivot Table Reports 101” SPSS “flow of logic” handout SPSS FAQ

Specific Topics Covered Measures of central tendency (various forms of “averages”) Frequencies Histograms Cross-tabulations Value labels Recoding & transforming data Missing data or observations Documenting data files, transformations, procedures, etc. [The last 5 are some of the strengths of SPSS]