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PS 225 Lecture 17 Comparing Two Variables

PS 225 Lecture 17

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PS 225 Lecture 17. Comparing Two Variables. In-Class Analysis. Independence vs. Dependence. Independence: Variables are not related Dependence: Variables demonstrate correlation Independent Variable Dependent Variable . Chi-Squared Statistic. Hypothesis Test for Independence. - PowerPoint PPT Presentation

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Page 1: PS 225 Lecture 17

PS 225Lecture 17

Comparing Two Variables

Page 2: PS 225 Lecture 17

In-Class Analysis

Page 3: PS 225 Lecture 17

Independence vs. Dependence Independence: Variables are not related Dependence: Variables demonstrate

correlation Independent Variable Dependent Variable

Page 4: PS 225 Lecture 17

Chi-Squared Statistic

e

eo

fff 2

2 )(

Page 5: PS 225 Lecture 17

Hypothesis Test for Independence Ho: Variables are Independent H1: Variables are Dependent

Page 6: PS 225 Lecture 17

SPSS Chi-Square Test

Page 7: PS 225 Lecture 17

Hypothesis Test for Independence Result Reject Ho and conclude H1 : Variables

are dependent Don’t Reject Ho : Not enough information

to conclude variables are dependent

Page 8: PS 225 Lecture 17

Chi-Squared Test

Test for independence Can be used for nominal and ordinal

data Nonparametric test

Page 9: PS 225 Lecture 17

Conditional Distribution

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Extreme Conditional Distributions No Association Perfect Association

Page 11: PS 225 Lecture 17

Measures for Nominal VariablesPhi (Φ) for 2x2 tablesCramer’s V for larger tables

Page 12: PS 225 Lecture 17

Phi (Φ)

N

2

Page 13: PS 225 Lecture 17

Phi (Φ)

Between 0 and 1 0 No Correlation 1 Perfect Correlation

Page 14: PS 225 Lecture 17

Guidelines for Interpreting Phi

Less than 0.10 : Weak Between 0.10 to 0.30 : Moderate Greater than 0.30 : Strong

Page 15: PS 225 Lecture 17

Cramer’s V

)1,1)(min(

2

crNV

Page 16: PS 225 Lecture 17

Cramer’s V

Between 0 and 1 0 No Correlation 1 Perfect Correlation

Page 17: PS 225 Lecture 17

Guidelines for Cramer’s V

Less than 0.10 : Weak Between 0.10 to 0.30 : Moderate Greater than 0.30 : Strong

Page 18: PS 225 Lecture 17

Measures for Nominal Variables Phi (Φ) for 2x2 tables Cramer’s V for larger tables

Page 19: PS 225 Lecture 17

Measures for Ordinal Variables

Gamma- for collapsed ordinal variables Spearman’s Rho – for continuous ordinal

variables

Page 20: PS 225 Lecture 17

Gamma

Increase in accuracy of prediction 0-0.3 weak 0.31 to 0.6 moderate Greater than 0.61 strong Sign indicates strength

Page 21: PS 225 Lecture 17

Spearman’s Rho

Proportionate Reduction in Error (PRE)

Page 22: PS 225 Lecture 17

Robert Putnam

Political Scientist at Harvard University

Studies Social Capital, “features of social life- networks, norms and trust- that enable participants to act together effectively to pursue shared objectives”

Page 23: PS 225 Lecture 17

Reading for Next Class

Get Article from JSTOR

Tuning In, Tuning Out: The Strange Disappearance of Social Capital in America

Robert D. Putnam PS: Political Science and Politics, Vol.

28, No. 4. (Dec., 1995), pp. 664-683.

Page 24: PS 225 Lecture 17

SPSS Assignment What characteristics of individuals might

increase or decrease the likelihood they will engage in activities that build social capital like visiting neighbors (socommun2) or friends (socfrend2)?

Choose three survey responses to study Conduct a Chi-Squared hypothesis test for

independence Give your hypotheses, test results and

interpretation Characterize the relationship using a measure

of association Clearly indicate which measure you use and

give the relative size of the impact of the independent variable.