Introduction to ANALYSIS

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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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• Edit your forms (surveys)
• 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 Illeg
ible responses
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Edit Problematic responses Non-responses Illeg
ible 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 Illeg
ible 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 Illeg
ible responses Illogical responses

• 10. If you served in the military, in which
  conflict did you serve?
• WWII b) Korea c) Viet Nam d) Gulf War
  e) Iraq/Afghanistan
• 30. Your age? _______

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Edit Problematic responses Non-responses Illeg
ible responses Illogical responses

• 10. If you served in the military, in which
  conflict did you serve?
• 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 (coul
d 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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Create a codebook 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.
Or this guy
Compose!!