What we will do today
  • Today, we are not going to be talking about 
   any advanced statistics, but how to use SPSS 
   to prepare your data for analysis.
  • The example we are using is an online 
   experiment with Qualtrics, but most of this 
   applies to any quantitative data collection, 
   whether it is an experiment, a survey or 
   content analysis.
  • I also want to introduce you to SPSS SYNTAX
                             Overview
     1. SPSS Interface
     2. A First Look at the Data
     3. Descriptive Statistics
     4. Data Cleaning 
        1.  Select Cases
        2.  Missing Values
        3.  Recoding
        4.  Automatic recode
        5.  Computing
     5. Syntax
                                  Interface
      In the Variable View, the rows are the variables 
      and the columns contain different kinds of 
      information about it:
      •   “Name” is a unique identifier
      •   “Label” is a more detailed description
      •   “Values” are labels for what the values mean
      •   “Missing” is the values that are not included in analysis
      •   “Type” tells SPSS how to use the data, if it is numeric or 
          string, which means the values are text
         Interface
  In the Data View, variables are columns and 
  rows are cases - respondents or in content 
  analysis, units of analysis
  This is more like a spreadsheet
     A First Look at the Data
  • First thing to do is to look at the variables, in 
   Variable View.