NEED ASAP. absolutely cannot be late

1

Social Science Statistics STA2122.501 ● ONLINE

Project 4: Exploring national values through bivariate analyses

SPSS SUPPLEMENT

Project 4 requires you to select variables and perform a chi-square, ANOVA, and OLS regression in SPSS. However, access to SPSS may be limited during this time. Therefore, I have performed one full set of analyses you may use in your report. Below, I include a print-out of the descriptive statistics and analyses for each section of the assignment (i.e., this is what you would see in SPSS if you analyzed the data yourself). You are responsible for all other parts of the project. Please email us at the address above if you have any questions or if you would like another option or analysis run. CROSS TAB AND CHI SQUARE: 2012 ELECTION PARTICIPATION AND POLITICAL AFFILIATION (page 2)

ANOVA: HOURS PER DAY WATCHING TV BY MARITAL STATUS (page 4)

OLS REGRESSION: HOURS PER WEEK ON INTERNET BY HIGHEST YEAR OF SCHOOL COMPLETED (page 6)

University of South Florida Instructor: Dr. Erica L. Toothman

Email: [email protected]

2

CROSS TAB AND CHI SQUARE: 2012 ELECTION PARTICIPATION AND POLITICAL AFFILIATION

Descriptive Statistics

N Range Minimum Maximum Mean Std. Deviation Variance

Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Statistic Political party affiliation 743 7 0 7 2.83 .074 2.024 4.096 Did R vote in 2012 election 743 2 1 3 1.40 .022 .605 .366 Valid N (listwise) 743

Crosstabs

Case Processing Summary

Cases Valid Missing Total

N Percent N Percent N Percent Did R vote in 2012 election * Political party affiliation

743 100.0% 0 0.0% 743 100.0%

Did R vote in 2012 election * Political party affiliation Crosstabulation

Political party affiliation

STRONG DEMOCR

AT

NOT STR DEM

IND,NEA R DEM

INDEPEND ENT

IND,NEAR REP

NOT STR

REPUBLIC AN

STRONG REPUBLICA

N

OTHER PARTY Total

Did R vote in 2012 election

Voted 98 86 61 43 52 81 61 14 496 Did not vote

10 29 37 69 20 29 4 2 200

Ineligible 7 12 6 7 5 7 3 0 47 Total 115 127 104 119 77 117 68 16 743

3

Chi-Square Tests

Value df Asymptotic Significance (2-

sided) Pearson Chi-Square 106.795a 14 .000 Likelihood Ratio 109.696 14 .000 Linear-by-Linear Association .515 1 .473 N of Valid Cases 743

Directional Measures

Value

Asymptotic Standard

Errora Approximate

Tb

Nominal by Nominal Lambda Symmetric .090 .026 3.408 Did R vote in 2012 election Dependent

.105 .041 2.467

Political party affiliation Dependent

.084 .026 3.117

Goodman and Kruskal tau

Did R vote in 2012 election Dependent

.113 .020

Political party affiliation Dependent

.024 .005

Symmetric Measures

Value Approximate Significance Nominal by Nominal Phi .379 .000

Cramer's V .268 .000 N of Valid Cases 743

4

ANOVA: HOURS PER DAY WATCHING TV BY MARITAL STATUS

Descriptive Statistics

N Range Minimu

m Maximu

m Mean Std.

Deviation Varianc

e

Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Statistic

Marital status 743 4 1 5 2.61 .063 1.712 2.931 Hours per day watching TV

743 24 0 24 2.77 .092 2.513 6.316

Valid N (listwise) 743

ANOVA

Hours per day watching TV

Sum of

Squares df Mean Square F Sig. Between Groups 130.918 4 32.730 5.302 .000 Within Groups 4555.800 738 6.173 Total 4686.719 742

5

Post Hoc Tests

Multiple Comparisons Dependent Variable: Hours per day watching TV Tukey HSD

(I) Marital status (J) Marital status Mean Difference

(I-J) Std. Error Sig. 95% Confidence Interval

Lower Bound Upper Bound MARRIED WIDOWED -1.754* .398 .000 -2.84 -.67

DIVORCED -.405 .267 .551 -1.13 .32 SEPARATED -.137 .480 .999 -1.45 1.18 NEVER MARRIED -.029 .218 1.000 -.62 .57

WIDOWED MARRIED 1.754* .398 .000 .67 2.84 DIVORCED 1.350* .440 .019 .15 2.55 SEPARATED 1.617 .594 .052 -.01 3.24 NEVER MARRIED 1.726* .412 .000 .60 2.85

DIVORCED MARRIED .405 .267 .551 -.32 1.13 WIDOWED -1.350* .440 .019 -2.55 -.15 SEPARATED .267 .516 .986 -1.14 1.68 NEVER MARRIED .376 .288 .688 -.41 1.16

SEPARATED MARRIED .137 .480 .999 -1.18 1.45 WIDOWED -1.617 .594 .052 -3.24 .01 DIVORCED -.267 .516 .986 -1.68 1.14 NEVER MARRIED .109 .492 .999 -1.24 1.46

NEVER MARRIED MARRIED .029 .218 1.000 -.57 .62 WIDOWED -1.726* .412 .000 -2.85 -.60 DIVORCED -.376 .288 .688 -1.16 .41 SEPARATED -.109 .492 .999 -1.46 1.24

*. The mean difference is significant at the 0.05 level.

6

OLS REGRESSION: HOURS PER WEEK ON INTERNET BY HIGHEST YEAR OF SCHOOL COMPLETED

Descriptive Statistics

N Range Minimum Maximum Mean Std. Deviation Variance

Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Statistic Highest year of school completed

743 18 2 20 14.17 .100 2.715 7.370

Www hours per week 743 140 0 140 14.13 .676 18.425 339.468 Valid N (listwise) 743

Regression

Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .081a .007 .005 18.377 a. Predictors: (Constant), Highest year of school completed

Coefficientsa

Model Unstandardized Coefficients Standardized Coefficients

t Sig. B Std. Error Beta 1 (Constant) 6.366 3.586 1.775 .076

Highest year of school completed .548 .249 .081 2.204 .028 a. Dependent Variable: Www hours per week