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SPSS Workshop_298_rev 11_23_09

SPSS Workshop_298_rev 11_23_09 - ScWk 298 2009-2010 and...

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ScWk 298 2009-2010 November 16, 23 and 30 (if necessary) Rev. 11/23/09 Refresher Course in SPSS—Data Management; Univariate, Bivariate and Multivariate Analysis This workshop will cover basic SPSS data management and statistical functions and some things not covered in 242. See your notes from 242 for more detail on basic SPSS operations, data entry and statistics. We will cover the following topics that many students need when working with data from their agencies: Importing data from an Excel spreadsheet Recoding string variables into numerical ones Computing new variables Handling missing data Creating dummy variables Managing output files Selected univariate, bivariate and multivariate statistics (to be continued during the spring semester) This example is a fictitious dataset of an experimental study to measure the change in depression as a result of being assigned to an experimental treatment vs. treatment-as-usual. An excel spreadsheet and a completed SPSS data file of this example are available for you to practice with. They can be found at the following web page: http://www.sjsu.edu/people/edward.cohen/courses/298/ Practice data set Client_id Group dep_pre Dep_post Dep_hx Age Parent Support Race 1 1 8 6 1 38 1 1 African American 2 1 6 6 1 51 1 4 White 3 1 8 7 1 49 1 4 White 4 1 8 5 1 30 1 3 White 5 1 9 8 1 20 1 3 White 6 1 10 8 1 41 0 2 African American 7 1 6 5 1 66 0 2 Hispanic 8 1 7 5 1 30 0 2 Hispanic 9 1 8 6 1 31 0 1 African American 10 1 9 4 1 68 0 3 Asian_PI 11 1 6 3 1 22 1 4 White 1
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Client_id Group dep_pre Dep_post Dep_hx Age Parent Support Race 12 1 6 7 1 48 1 3 Hispanic 13 1 6 7 0 41 1 2 African American 14 1 8 4 0 29 1 2 Hispanic 15 1 7 3 0 49 1 4 Hispanic 16 1 9 3 0 24 0 4 African American 17 1 10 2 0 41 0 4 White 18 1 6 5 0 36 0 3 Hispanic 19 1 8 2 0 37 0 2 Hispanic 20 1 5 2 0 20 1 2 Hispanic 21 1 9 8 0 64 1 2 White 22 1 9 8 0 52 1 1 White 23 1 8 4 0 24 1 1 White 24 1 8 6 0 25 1 1 White 25 1 6 5 0 20 0 4 African American 26 0 6 7 1 38 0 3 White 27 0 5 6 1 55 0 3 White 28 0 10 6 1 42 0 4 African American 29 0 9 9 1 68 0 4 African American 30 0 9 9 1 58 1 2 Asian_PI 31 0 8 8 1 31 1 1 Asian_PI 32 0 8 7 1 27 1 1 Asian_PI 33 0 7 7 1 32 1 4 African American 34 0 5 7 1 63 1 2 African American 35 0 6 6 1 49 0 4 Asian_PI 36 0 6 8 1 52 0 3 White 37 0 10 7 1 56 0 3 White 38 0 6 6 0 20 0 4 Asian_PI 39 0 8 10 0 44 0 1 African American 40 0 8 8 0 37 1 2 Asian_PI 41 0 9 7 0 63 1 1 African American 42 0 5 5 0 31 1 4 Asian_PI 43 0 5 4 0 19 1 4 Asian_PI 44 0 8 8 0 60 0 3 White 2
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Client_id Group dep_pre Dep_post Dep_hx Age Parent Support Race 45 0 7 7 0 24 0 3 White 46 0 9 7 0 25 0 3 Asian_PI 47 0 10 9 0 67 0 2 White 48 0 5 5 0 19 0 4 African American 49 0 8 8 0 34 1 1 Hispanic 50 0 8 8 0 25 1 2 Hispanic Variable descriptions: Variable name Operationalization Level of Measurement client_id Client ID number N/A group Group assignment 1=experimental; 0=control (treatment as usual) Categorical, nominal dep_pre Pretest depression score (scale from 1 10; 1=least depressed; 10=most depressed) Continuous (it has ordinal qualities, but a 10 value scale like this is most often analyzed as a continuous variable) dep_post Posttest depression score (same scaling as pretest) Same as above dep_hx
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