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To get a conceptual idea of how this works consider

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To get a conceptual idea of how this works consider the following example: Var1 Var2 Var3 scale 1 4 1 6 4 1 1 6 3 3 2 8 2 3 2 7 Notice that the value for each observation on the scale is equal to the sum of the values of the three variables from which it is composed. There are a few criteria for the variables you can use to construct a scale: o All variables in the scale must have the same range of potential values o All variables in the scale must be positively correlated with each other o All variables in the scale, theoretically, must measure the same underlying construct o The Cronbach’s alpha test statistic must be reasonably high (>.6 or so) If all of these conditions are met the scale should be a reasonably valid measure (The higher the values from which the variable is composed, the higher the value of the scale). Let’s practice with some variables from this data set: conpol, congov and conciv. These variables measure confidence in the police, the government and the civil service, respectively. Before we begin, tab each variable. Now complete the following questions to confirm that these variables are appropriate for scaling. a. Do the variables have the same range of potential values? What is the range? No the variable do not have the same range of potential values.

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b. Check to see if the variables are all positively correlated. Before we do that we need to make sure there are no anomalous values in the variables that need to be recoded as system missing. The data in this lab should be clean, but you always want to make sure before proceeding. Once each variable is clean (you should confirm this) produce a correlation table of the three variables. Use the command corr conpol congov conciv. Copy and paste the correlation table into the output sheet. c.
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To get a conceptual idea of how this works consider the...

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