SPSS_Recoding_and_Data_Management

SPSS_Recoding_and_Data_Management - Page 1 of 4 SAN JOS...

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Unformatted text preview: Page 1 of 4 SAN JOS STATE UNIVERSITY College of Social Work S. W. 242 Spring 2008 Edward Cohen Lab: SPSS Recoding and Management of Data A. Review B. Recoding Variables C. Calculating New Variables On your own: Recode raw scores into Pass/Not Pass, where "Pass" = 70 and above, and "Not Pass" = anything 69 or below Create Bar graph of Gender Create Histogram of Score --------------------------------------------------------------------------------------------------------------------------------------------- B. Recoding Variables Recoding variables is necessary when we want to collapse raw data into categories or reassign new codes to old ones to improve our management of data. This can be done for categorical and continuous variables, BUT you as a researcher must decide whether the recoding is conceptually useful for your project. Usually you keep continuous variables in their raw form. Always enter your data is as raw a form as possible and if you recode, do so into a different variable to retain the original information. *** Example of ethnicity (self-identified ethnic group of origin) Variable = Ethnic Recoded Into: Ethnic2 Code (Value) Ethnicity (Value Label) Frequency Code (Value) Recoded Ethnicity (Value Label) Frequency 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 African American American Indian Biracial Black Brazilian Canadian Caucasian Chinese English Ethiopian French German Indian Japanese Korean Latino Mexican Middle Eastern Native American Filipino Russian South African South American Vietnamese White 21 4 1 12 4 8 87 12 4 1 5 1 5 5 2 39 12 22 2 4 8 1 1 9 23 1 2 3 4 5 White Black Latino Asian Other 137 34 56 37 29 N = 293 N = 293 *** Our SPSS Example: Recoding raw data from Chapter 6 into grade categories...
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SPSS_Recoding_and_Data_Management - Page 1 of 4 SAN JOS...

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