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Quantitative Data Analysis

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. Qualitative Data Analysis.

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Quantitative Data Analysis

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  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 • Frequencies • Magnitudes • Structures

  4. Six Ways to Discover Patterns • Processes • Causes • Consequences

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

  6. Matching Signs and Their Meanings • SIGN • Poinsettia • Horseshoe • Blue ribbon • “Say cheese” • “Break a leg” • Meaning • Good luck • First prize • Christmas • Acting • 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

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