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The following exercises seek to determine what underlying structure exists among the following variables in profile-a.sav : highest degree earned ( degree ), hours worked

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The following exercises seek to determine what underlying structure exists among the following variables inprofile-a.sav: highest degree earned (degree), hours worked per week (hrs1), job satisfaction (satjob), years of education (educ), hours per day watching TV (tvhours), general happiness (happy), degree to which life is exciting (life), and degree to which the lot of the average person is getting worse (anomia5).

1.The following output was generated for the initial analysis. Varimax rotation was utilized.

Communalities

InitialExtraction
degree 1.000 .933
hrs1 1.000 .602
satjob 1.000 .447
educ 1.000 .939
tvhours 1.000 556
happy 1.000 576
life 1.000 .500
anomia5 1.000 .317

Extraction Method: Principal Component Analysis

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Scree Plot 20- 1.5- Eigenvalue 1.0 0.S- 0.0- N- Component NumberTotal Variance Explained Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Component Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative % 2.423 30.293 30.293 2.423 30.293 30.293 1.879 23.488 23.488 1.426 17.822 48.115 1.426 17.822 48.115 1.734 21.676 45.165 1.021 12.760 60.875 1.021 12.760 60.875 1.257 15.710 60.875 886 11.077 71.952 YOUAWN 796 9.955 81.907 728 9.094 91.001 607 7.589 98.590 113 1.410 100.000 Extraction Method: Principal Component Analysis.Reproduced Correlations degree hrs1 satjob educ tvhours happy life anomia5 Reproduced Correlation degree 933 .176 -.039 935 -.239 .119 230 118 hrs1 176 602 -.239 194 -.576 -.077 141 -.049 satjob -.039 -.239 4472 -.062 214 469 -.436 -.297 educ 935 .194 -.062 939 -.255 -.142 252 131 tvhours -.239 -.576 214 -.255 5562 066 -.136 047 happy -.119 -.077 469 -.142 066 576 -.526 -.412 life 230 .141 -.436 252 -.136 -.526 .500 371 anomia5 118 -.049 -.297 .131 047 -.412 371 317 Residual degree 004 - 068 -.050 032 - 004 -.034 -.037 hrs1 004 104 011 361 -.031 -.046 112 satjob -.068 104 -.037 -.105 -.197 .151 158 educ -.050 011 -.037 026 -.002 -.029 -.012 tvhours 032 361 -.105 .026 014 -.012 -.099 happy -.004 -.031 -.197 -.002 014 .159 .177 life -.034 -.046 .151 -.029 -.012 .159 -.217 anomia5 -.037 .112 158 -.012 -.099 177 -.217 Extraction Method: Principal Component Analysis. a. Reproduced communalities b. Residuals are computed between observed and reproduced correlations. There are 12 (42.0%) nonredundant residuals with absolute values greater than 0.05

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