Data Analysis II.

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Presentation transcript:

Data Analysis II

Summarizing one variable Mean, median, or mode Standard error or min/max or interquartile range Shape of distribution

Other issues Floor, ceiling effect Bimodal ALWAYS PLOT!

Describing Relationships Independent Variable Dependent Variable Discrete Continuous Cross-tab Logit if necessary ANOVA Paired t-test Regression Correlation

Cross-tabs Compare predicted frequency in a category to observed. Example: Expect men and women to belong at same rate Now observe Men Women Belong to env group 30 36 Don’t belong 70 64

Calculate Chi-squared statistic for test of H0: pi=p*

Cross-tabs Men Women Belong to env group 30 33 36 66 0.33 Don’t belong Calculate relative frequency (.33, .67, .5) Calculate expected frequencies (33, 67) Calculate deviations (x-e) and chi-sq Degrees of freedom=(c-1)(r-1) or 1 here No significant difference here Men Women Belong to env group 30 33 36 66 0.33 Don’t belong 70 67 64 134 0.67 100 .5

Describing Relationships Independent Variable Dependent Variable Discrete Continuous Cross-tab Logit if you have to ANOVA Paired t-test Regression Correlation

Regression Cont. DV, Discrete IV: Regress DV on IV with no intercept. Can read off F-test Discrete DV, Cont. IV: Logit, read off p-value Both continuous: Regression and read off p-value

Factor analysis for the NEP To determine how many dimensions the 16 questions are tapping