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SOAN 2120 (388)
Lecture

# November 6.docx

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School
University of Guelph
Department
Sociology and Anthropology
Course
SOAN 2120
Professor
David Walters
Semester
Fall

Description
November 6 , 2012 In your project you will be required to include three tables… 1) Table 1: descriptive statistics (univariate) 2) Table 2 and 3: bivariate statistics (i.e. cross-tabs, comparing means, or correlations) Descriptive Statistics Gender Income Before you run any analyses, weight your data using the weight variable in SPSS. In SPSS: data -> weight cases -> weight cases by (select the weight variable at the end of the list “weight” -> Ok For categorical variables (gender) Analyze -> descriptive statistics -> frequencies -> sex -> ok For quantitative variables (income – dvr47gr1) Analyze -> descriptive statistics -> frequencies -> dvr47gr1 -? Statistics - > click mean -> ok For quantitative variables sometimes we need to know the way in which the variable is coded - what does a mean of 7 mean? - Interpret your results of the mean category - In the SPSS data editor go to the variable view -> find the variable (dvr46gr1) and click on values. This will give you a list of the correspondence between the coded values and actual earnings. - Thus, the mean (category) corresponds with \$20,000 - \$24, 999 (note: the analysis includes those without any income – category 0) (INSERT TABLE 1 HERE: DESCRIPTIVE STATISTICS FOR THE VARIABLES IN THIS STUDY… it might be on CourseLink in content under week 10?) Statistical Analysis - one quantitative variable and one categorical variable - comparing means (ANOVA) - in SPSS: analyze --> general linear method  univariate  dependent variable: dvr47g1  fixed factor: dvsex  options  parameter estimates (definition: extra earning advantage of males over females)  continue  ok Translating the results The average yearly earnings for males = 5.597 + 3.225 (second value on bottom table, lower left hand side) = 8.8222 (\$25,000 - \$29,999) The average yearly earnings for females = 5.597 (intercept) +0 = 5.597 (\$10,000 - \$14,999) To figure this out you must go to the variable view and click on values. Make sure you understand how to do this. Reporting p-values in tables  * = means .01 > .001 .021 > .01 .01 > .002 > .001 .01 > .0012 >.001 What if? UNDERSTAND THIS SLIDE… - the p-value in the Sig. column of SPSS is .06. Are your results statistically significant? And if so, at what alpha level? o .06 is greater than .05 and therefore not statistically significant - the p-value in the Sig. column of SPSS is .052. Are your results statistically significant? And if so, at what alpha level? o No, 0.52 is greater than .05 and therefore not statistically significant. We fail to reject the null hypothesis. - The p-value in the Sig. column of SPSS is .009. Are your results statistically significant? And if so, at what alpha level? o .01 (choose this alpha because less then .01 but not less then .001) – two ** - .000 o significant at .001 INTERPRETING THE RESULTS IN YOUR RESULTS SECTION Remember: The purpose of the statistical analysis is to identify relationships (whether they are significant) The relationship between gender and income is statistically significant (p
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