1. Quantitative Data Analysis SPSS, STATA, SAS, R Data is mostly numerical, although words can be used now: black, white, Latino, Catholic, etc. Don’t have to collect your own data SOURCES: GSS, NES, PEW, PPIC, ICPSR Let’s take a look

2. Qualitative Data Analysis Searches for explanatory patterns. Links data collection, analysis and theory. Sources of qualitative data – Interviews – Newspapers – Transcripts of TV shows – Needs to be digitized in some way

3. Six Ways to Discover Patterns 1.Frequencies 2.Magnitudes 3.Structures

4. Six Ways to Discover Patterns 4.Processes 5.Causes 6.Consequences

5. Semiotics The "science of designs". Signs are anything that is assigned a special meaning.

6. Matching Signs and Their Meanings SIGN 1.Poinsettia 2.Horseshoe 3.Blue ribbon 4.“Say cheese” 5.“Break a leg” Meaning a.Good luck b.First prize c.Christmas d.Acting e.Smile for a picture.

7. Conversation Analysis Fundamental Assumptions: Conversation is a socially structured activity. Conversations must be understood contextually. Structure and meaning of conversations must be transcribed.

8. Software P.432 AnSWR, Atlas.ti, Ethno, Ethnography, HyperResearch, HyperTranscribe, MAXqda, NUD*IST (NVivo), QDA Miner, Qualrus, SPAD, TAMS, T-LAB, Weft