6. Reliability Analysis

  1. Click on Reliability Analysis in the Statistics category.

  1. Data: Select the data for Reliability Analysis. You can specify only the data that meets specific conditions from the chosen DataFrame through Subset.

  2. Variable: Choose the columns for Reliability Analysis from the data selected above.

  3. Code View: Preview the code that will be generated.

  4. Data View: Preview the data that will be output.

  5. Run: Execute the code.

Output Example

  • Cronbach Alpha used in Reliability Analysis is a statistical method measuring Consistency, and this consistency is an indicator of Reliability.

  • The Cronbach Alpha value is output between 0 and 1, where closer to 1 indicates higher consistency. The N value represents the number of columns selected.

  • The Item-Total Statistics table displays the mean, variance, and Cronbach Alpha values for each column's presence or absence. Additionally, Corrected Item-Total Correlation indicates how consistent each column is with the total.

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