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Sociology 690 – Data Analysis

Sociology 690 – Data Analysis. Simple Non-Quantitative Data Analysis. Grouping Non-Quantitative Data. Frequencies Percentages Ratios Rates. Graphing Non-Quantitative Data. Pie Charts and Bar Graphs 3-D Graphs Pictographs Population Pyramids. Cross-classifying NQ Data.

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Sociology 690 – Data Analysis

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  1. Sociology 690 – Data Analysis Simple Non-Quantitative Data Analysis

  2. Grouping Non-Quantitative Data • Frequencies • Percentages • Ratios • Rates

  3. Graphing Non-Quantitative Data • Pie Charts and Bar Graphs • 3-D Graphs • Pictographs • Population Pyramids

  4. Cross-classifying NQ Data • Column, Row and Cell Marginals • Percentaging Tables • Simple Summary Statistics • Lambda • Gamma • Chi Square

  5. The Non-Quantitative Elaboration Model A. Elimination B. Specification Spuriousness X e.g. the effectof fire size (Z) on the relationship between # of firemen (X) and damage (Y) 1. Antecedent Z Y 2. Intervening X Y e.g. the effectof education (Z) on the relationship between age (X) and income (Y) Z

  6. Non-quantitative Statistical Example Step 1 – Construct the zero order cross-tabulation table. The Marginal (Zero-Order) Table Step 2 – Calculate the zero order measure of association. e.g. Lambda = 40/40 – 30/40 = .25

  7. Step 3 – Construct the first order partial tables. The Marginal Table Partial Table for Young Partial Table for Old = + Step 4 – Calculate the partial measures of association Total Young Old Lambda .25 .00 1.00 Step 5 – Form the conclusion Since the partials have changed from the marginal measure, one getting stronger and the other disappearing, we would say that we have specified the zero order relationship as probably intervening (i.e. we are born into a sex, grow older and as a result, join a political party).

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