Scholar Practitioner Project Public Health (ADVANCED ANALYSIS OF SECONDARY DATA SPSS

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Output <html xmlns="http://xml.spss.com/spss/viewer/viewer-tree"> <head> </head> <body> <p align="center" style="margin-top: 0">&[PageTitle]</p> </body> </html> <html xmlns="http://xml.spss.com/spss/viewer/viewer-tree"> <head> </head> <body> <p align="right" style="margin-top: 0">Page &[Page]</p> </body> </html> Log <head><style type="text/css">p{color:0;font-family:Monospaced;font-size:13pt;font-style:normal;font-weight:normal;text-decoration:none}</style></head><BR>UNIANOVA&nbsp;Final&nbsp;BY&nbsp;Gender&nbsp;WITH&nbsp;Age<BR>&nbsp;&nbsp;/METHOD=SSTYPE(3)<BR>&nbsp;&nbsp;/INTERCEPT=INCLUDE<BR>&nbsp;&nbsp;/PRINT=ETASQ&nbsp;HOMOGENEITY&nbsp;DESCRIPTIVE<BR>&nbsp;&nbsp;/CRITERIA=ALPHA(.05)<BR>&nbsp;&nbsp;/DESIGN=Age&nbsp;Gender.

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Contents Notes

00000000013_4973395162146412679_tableData.bin

00000000013_4973395162146412679_table.xml

Properties Factor Levels Between-Subjects Factors

00000000014_4619581116421118095_tableData.bin

00000000014_4619581116421118095_table.xml

Statistics Gender Dependent Variable Descriptive Statistics :

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00000000015_4186391127263418524_table.xml

Statistics Dependent Variable Levene's Test of Equality of Error Variances a Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Design: Intercept + Age + Gender :

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00000000016_2168778494201436316_table.xml

Statistics Source Dependent Variable Tests of Between-Subjects Effects : a. R Squared = .003 (Adjusted R Squared = -.003)

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Output Univariate Analysis of Variance Title <head><style type="text/css">p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}</style></head><BR>Univariate&nbsp;Analysis&nbsp;of&nbsp;Variance Notes 00000000011_1902221691256445038_notes.xml 00000000011_1902221691256445038_notesData.bin Active Dataset <head><style type="text/css">p{color:0;font-family:Monospaced;font-size:13pt;font-style:normal;font-weight:normal;text-decoration:none}</style></head><BR>[DataSet1]&nbsp;C:\Users\user\Desktop\Multiple&nbsp;Regression.sav Between-Subjects Factors 00000000013_4973395162146412679_table.xml 00000000013_4973395162146412679_tableData.bin Descriptive Statistics 00000000014_4619581116421118095_table.xml 00000000014_4619581116421118095_tableData.bin Levene's Test of Equality of Error Variances 00000000015_4186391127263418524_table.xml 00000000015_4186391127263418524_tableData.bin Tests of Between-Subjects Effects 00000000016_2168778494201436316_table.xml 00000000016_2168778494201436316_tableData.bin

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Output Log <head><style type="text/css">p{color:0;font-family:Monospaced;font-size:13pt;font-style:normal;font-weight:normal;text-decoration:none}</style></head><BR>UNIANOVA&nbsp;Final&nbsp;BY&nbsp;Gender<BR>&nbsp;&nbsp;/METHOD=SSTYPE(3)<BR>&nbsp;&nbsp;/INTERCEPT=INCLUDE<BR>&nbsp;&nbsp;/PRINT=ETASQ&nbsp;HOMOGENEITY&nbsp;DESCRIPTIVE<BR>&nbsp;&nbsp;/CRITERIA=ALPHA(.05)<BR>&nbsp;&nbsp;/DESIGN=Gender.

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00000000031_3131422914555121687_notes.xml

Contents Notes

00000000033_2501763391653384266_tableData.bin

00000000033_2501763391653384266_table.xml

Properties Factor Levels Between-Subjects Factors

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00000000034_1443980429174739088_table.xml

Statistics Gender Dependent Variable Descriptive Statistics :

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00000000035_3890842401720471713_table.xml

Statistics Dependent Variable Levene's Test of Equality of Error Variances a Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Design: Intercept + Gender :

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00000000036_6401599193979523244_table.xml

Statistics Source Dependent Variable Tests of Between-Subjects Effects : a. R Squared = .003 (Adjusted R Squared = .000)

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Output Univariate Analysis of Variance Title <head><style type="text/css">p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}</style></head><BR>Univariate&nbsp;Analysis&nbsp;of&nbsp;Variance Notes 00000000031_3131422914555121687_notes.xml 00000000031_3131422914555121687_notesData.bin Active Dataset <head><style type="text/css">p{color:0;font-family:Monospaced;font-size:13pt;font-style:normal;font-weight:normal;text-decoration:none}</style></head><BR>[DataSet1]&nbsp;C:\Users\user\Desktop\Multiple&nbsp;Regression.sav Between-Subjects Factors 00000000033_2501763391653384266_table.xml 00000000033_2501763391653384266_tableData.bin Descriptive Statistics 00000000034_1443980429174739088_table.xml 00000000034_1443980429174739088_tableData.bin Levene's Test of Equality of Error Variances 00000000035_3890842401720471713_table.xml 00000000035_3890842401720471713_tableData.bin Tests of Between-Subjects Effects 00000000036_6401599193979523244_table.xml 00000000036_6401599193979523244_tableData.bin

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