SPSS instructions for Measurement Analysis
Transform

-Transform items that need to be reversed scored

Transform…Recode…
Frequencies

-Run frequencies for each item

Analyze…Descriptive Statistics…Frequencies…Move variables into Variable(s) window…OK

Look for impossible values

Look at response distributions 
Descriptive statistics

Analyze…Descriptive Statistics…Frequencies…Move variables into Variable(s) window…select Statistics…check off Mean, Median, Standard Deviation, and Skewness…Continue…OK [make sure you uncheck “Display frequency tables”]

Look for skewed items

Look for items with lots or very little variability
Exploratory Factor Analysis

Analysis 1: After you access or enter your data file, do the following:

Click on:

qAnalyze;

qData Reduction;

qFactor.

Then, select variables for your factor analysis as usual.

At the Factor Analysis box:

qClick on Descriptives;

qClick in the box next to Coefficients;

qClick in the box next to KMO and Bartlett’s test of sphericity;

qClick on Continue.

At the Factor Analysis box:

qClick on Extraction;

qSelect Principal components in the Method box (¯);

qClick in the box next to Scree Plot;

qChange Maximum Iterations for Convergence to 50;

qClick on Continue.

At the Factor Analysis box:

qClick on Rotation;

qConfirm that “no rotation” is selected;

qClick on Continue.

At the Factor Analysis box:

qClick on Options;

qClick in the box next to Sorted by size;

qClick on Continue

Run the first analysis.Determine the number of factors with the number of eigenvalues greater than one.Select two or more other model dimensionalities to consider in the search for the appropriate number of factors. 

Analysis 2: Rerun analysis (1) above with the same settings except for the following changes:

qIn the Descriptives box, deselect “KMO and Bartletts test.”

qIn the Extraction box, select Maximum likelihood in the Method box (¯), set the “number of factors” equal to the # you have decided to test for, and deselect “Scree plot.”

Analysis 3: Rerun analysis (2) above with the same settings except for the following changes:

qIn the Extraction box, set the “number of factors” equal to an alternate # of factors that you wish to examine. (Results from analyses 1 through 3 help us to decide how many factors we want)

Analysis 4: Rerun analysis (3) above with the same settings except for the following changes:

qIn the Descriptives box, deselect “Initial solution” and “Coefficients.”

qIn the Extraction box, set the “number of factors” equal to the # of factors you have decided on and deselect “unrotated factor solution.”

qIn the Rotation box, select “Varimax” if you think the factors are not correlated; select "Direct Oblimin" if you think the factors are correlated.


 

Item analysis for each factor

Inter item correlations 

Item criterion correlations

Alpha if item removed

Over all coefficient alpha 

Analyze…Scale…Reliability Analysis…move Variables into the Items window…click on the Statistics button…check…Scale if item deleted…Inter-item Correlations…continue…OK
Note
-You will also need descriptive statistics for your factor/composite scores.