Analyzing Data Using SPSS

Please use SPSS to conduct the following analyses and interpret them as requested. Your answers can be written into this document. You must also cut and paste all SPSS output you use as the basis for your answer. Please note that the data analysis portion of your exam will be similar to this, however, it will also include short answer questions based on concepts and themes from earlier in the course. Please upload your assignment to the dropbox in D2L no later than Wednesday, October  31st at 11:59PM


1) Using the NES 2008 data set, analyze the measures of central tendency for the following two variables: Feeling Thermometer towards Big Business and the Feeling Thermometer towards Congress. In your interpretation of these variables, include an analysis of the mean and median, the standard deviation and the distribution of the data (Hint: obtain a histogram from SPSS). Based on recent events, would you expect the same results today? Why or Why not?


Statistics


Feeling thermometer: BIG BUSINESS


Feeling thermometer: CONGRESS


N


Valid


2082


2078


Missing


241


245


Mean


53.19


51.99


Median


50.00


50.00


Std. Deviation


21.876


20.798


The same results would not be expected today. Many changes have occurred and both the big business and the congress. That means the feeling thermometer would indicate otherwise. The current congress has lost public trust and therefore, they tend to shift towards the colder side of the feeling thermometer. In terms of big businesses, many people are currently doing trade. This idea of multinational corporations entering into contracts with government has increased the feeling thermometer, thus it may read towards a higher side.


2) To answer the question, “Are people who get contacted by political parties or other groups more likely to vote?”, construct a cross-tab again using the NES 2008 data with “Was R contacted by parties/others” as the independent variable (row variable), and “Did R Vote in 2004” as the dependent variable (column variable). Interpret the results. Are they statistically significant?


Was R contacted by parties / others? * Did R vote in 2004? Crosstabulation


Count 


Did R vote in 2004?


Total


No


Yes


Was R contacted by parties / others?


No


570


700


1270


Yes


182


836


1018


Total


752


1536


2288


Chi-Square Tests


Value


df


Asymptotic Significance (2-sided)


Exact Sig. (2-sided)


Exact Sig. (1-sided)


Pearson Chi-Square


186.743a


1


.000


Continuity Correctionb


185.521


1


.000


Likelihood Ratio


194.428


1


.000


Fisher's Exact Test


.000


.000


Linear-by-Linear Association


186.662


1


.000


N of Valid Cases


2288


a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 334.59.


b. Computed only for a 2x2 table


The chi square is statistically significant since the asymptotic significance is less than α=0.05. This means that there is a relationship between getting contacted by a party and actually going to vote. In other words the two variables are dependent.

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