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Data Handling Using SPSS 19Research Data METADATA HANDLINGUSING SPSS 19Authored by Line Runs, EDINA and Data Library, University of Edinburgh
Edited by Robin Rice and Pauline Ward
August 2014
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How to fill out data handling using spss
01
Step 1: Open SPSS and create a new data file.
02
Step 2: Define the variables by specifying their names, types, and measurement levels.
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Step 3: Enter the data values for each variable into the corresponding cells of the data file.
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Step 4: Clean the data by checking for missing values, outliers, and any other errors.
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Step 5: Perform necessary data transformations such as recoding variables, computing new variables, or aggregating data.
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Step 6: Analyze the data using various statistical techniques available in SPSS such as descriptive statistics, t-tests, regression analysis, etc.
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Step 7: Interpret the results of the analysis and draw conclusions based on the findings.
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Step 8: Export the results or create visualizations to present the data and findings.
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Step 9: Save your work and ensure that you have a backup of the SPSS data file.
Who needs data handling using spss?
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Data analysts who work with businesses to identify patterns and make data-driven decisions.
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Students and academics who conduct research studies and need to analyze the data.
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Statisticians and data scientists who perform advanced statistical analysis.
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