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Introduction to ANALYSIS Data Editing
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Your survey is done…. Now what?
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There are two things to do before going any further.
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A. Edit your forms (surveys)
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B.Compose
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Edit: Look for bias.
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Edit: Lack of cooperation The “Screw You Effect” “The negative-participant role (also known as the screw-you effect) in which the participant attempts to discern the experimenter's hypotheses, but only in order to destroy the credibility of the study.”
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Edit: Problematic responses Non-responses Illegible responses
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Edit: Problematic responses Non-responses Illegible responses Illogical responses 10. If you served in the military, in which conflict did you serve? a. WWII b) Korea c) Viet Nam d) Gulf War e) Iraq/Afghanistan
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Edit: Problematic responses Non-responses Illegible responses Illogical responses 10. If you served in the military, in which conflict did you serve? a. WWII b) Korea c) Viet Nam d) Gulf War e) Iraq/Afghanistan
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Edit: Problematic responses Non-responses Illegible responses Illogical responses 10. If you served in the military, in which conflict did you serve? a.WWII b) Korea c) Viet Nam d) Gulf War e) Iraq/Afghanistan 30. Your age? _______
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Edit: Problematic responses Non-responses Illegible responses Illogical responses 10. If you served in the military, in which conflict did you serve? a.WWII b) Korea c) Viet Nam d) Gulf War e) Iraq/Afghanistan 30. Your age? __36___
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Edit: Problematic responses Non-responses (could be a case, variable, or data point (value) 1. Ignore them 2. Eliminate case 3. Input a value a. random number b. the mean c. a value calculated (usually by regression)
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Edit: Problematic responses Illegible responses 1. Guess and input a value 2. Eliminate case 3. Use other answers to estimate answer
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Edit: Problematic responses Illogical responses 1. Eliminate case 2. Use other answers to estimate answer
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Create a codebook:
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1. Case code (on each form) 2. Variable codes and labels 3. Scale of variables 4. Open-ended questions (?)
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Now input your data!
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Clean up you data. 1. Print out a frequency table for each variable.
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Clean up you data. 1. Print out a frequency table for each variable. 2. Look for: a. wrong or impossible numbers b. Outliers (deviance) c. Missing data
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Clean up you data. 1. Print out a frequency table for each variable. 2. Look for: a. wrong or impossible numbers b. Outliers (deviance) c. Missing data 3. Look at cross-tabs for relationships
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Work out the stats for your project. Compose!!
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Work out the stats for your project. Compose!! Whether you are this guy…
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Work out the stats for your project. Compose!! Or this guy…
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