Use the following information to interpret the main effect for the correlation matrix below Correlations Correlations feelingsofguilt Feel lonely COMPUTE COMPUTE feelingsofguilt v82 v83 v84 v85 v86 v87 v88 v89 v90 v91 selfworth COMPUTE selfworth v98 victimization Feel lonely v66 v92 v93 v94 v99v100 v101 COMPUTE victimization v181 v183 v185 v67 v68 v95 v96 v97 v102 v103 v187 Feel lonely COMPUTE Pearson Correlation Feel lonely v66 v67 v68 Sig (2 tailed) N 022 293 084 215 000 000 3416 3203 3310 3324 Pearson Correlation 022 176 245 Sig (2 tailed) 000 000 feelingsofguilt COMPUTE feelingsofguilt v82 v83 v84 v85 v86 v87 v88 v89 v90 191 192 v93 v94 v95 v96 v97 215 N 3203 3225 3150 3150 selfworth COMPUTE Pearson Correlation 293 176 1 057 selfworth v98 v99 v100 Sig (2 tailed) 000 000 001 v101 v102v103 N 3310 3150 3341 3267 victimization COMPUTE Pearson Correlation 084 245 057 1 victimization v181 v183 Sig (2 tailed) 000 000 001 v185 v187 N 3324 3150 3267 3369 Feel Lonely The Lower numbers on the distribution is equal to feeling lonely Higher numbers indicate the respondent does not feel lonely Levels of Guilt Lower numbers on the distribution indicate higher levels of guilt Self worth Higher numbers on the distribution indicate high self worth Victimization Higher numbers on the ditribution indicate lower levels of victimization Lower numbers on the distribution indicate high levels of victimization Quick Reference Guide for Interpretations The following would be what you will need to report when interpreting the variables at the following levels of measurement Nominal Level Ordinal Level Variables Variables Interval Level Measures Ratio Level Measures Frequencies Frequencies Mean Mean Percentages Percentages Mode Median What is compelling What is compelling Standard Deviation Minimum Score Maximum Score Standard Deviation Minimum Score about the data about the data Frequencies Percentages What is compelling about the data Maximum Score Frequencies Percentages What is compelling about the data

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Use the following information to interpret the main effect for the correlation matrix below  Correlations Correlations feelingsofguilt Feel lonely COMPUTE COMPUTE feelingsofguilt v82   v83 v84 v85   v86 v87 v88   v89   v90   v91   selfworth COMPUTE selfworth v98  victimization Feel lonely v66 v92 v93 v94  v99v100  v101 COMPUTE victimization v181   v183  v185   v67 v68 v95   v96   v97   v102   v103 v187 Feel lonely COMPUTE Pearson Correlation Feel lonely v66 v67   v68 Sig  (2 tailed) N  022   293  084 215  000  000 3416 3203 3310 3324 Pearson Correlation 022  176   245   Sig  (2 tailed)  000  000 feelingsofguilt COMPUTE feelingsofguilt v82   v83   v84 v85 v86 v87   v88   v89     v90 191 192   v93   v94   v95   v96   v97 215 N 3203 3225 3150 3150 selfworth COMPUTE Pearson Correlation  293  176 1   057 selfworth v98   v99  v100   Sig  (2 tailed)  000  000  001 v101 v102v103 N 3310 3150 3341 3267 victimization COMPUTE Pearson Correlation 084   245   057 1 victimization v181  v183   Sig  (2 tailed)  000  000  001 v185 v187 N 3324 3150 3267 3369 Feel Lonely  The Lower numbers on the distribution is equal to feeling lonely  Higher numbers indicate the respondent does not feel lonely  Levels of Guilt  Lower numbers on the distribution indicate higher levels of guilt  Self worth  Higher numbers on the distribution indicate high self worth  Victimization  Higher numbers on the ditribution indicate lower levels of victimization  Lower numbers on the distribution indicate high levels of victimization  Quick Reference Guide for Interpretations The following would be what you will need to report when interpreting the variables at the following levels of measurement  Nominal Level Ordinal Level Variables Variables Interval Level Measures Ratio Level Measures Frequencies Frequencies Mean Mean Percentages Percentages Mode Median What is compelling What is compelling Standard Deviation Minimum Score Maximum Score Standard Deviation Minimum Score about the data  about the data  Frequencies  Percentages  What is compelling about the data  Maximum Score Frequencies  Percentages  What is compelling about the data

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Use the following information to interpret the main effect for the correlation matrix below. Correlations Correlations...

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Federal Taxation 2015 Corporations Partnerships Estates & Trusts

Use the following information to interpret the main effect for the correlation matrix below. Correlations Correlations...

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Federal Taxation 2015 Corporations Partnerships Estates & Trusts

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