![]() Rule of Thumb for ResultsĪ rule of thumb for interpreting alpha for dichotomous questions (i.e. Specifically, it might highlight one or more questions with low alpha values (I work through a specific example in the video). Step 4 can be omitted, but this will allow you to analyze problems with individual test questions. Step 5: Click “Continue” and then click “OK”. Choose “ Correlation” in the inter-item box. Step 4: Select “Item,” “Scale,” and “Scale if item deleted” in the box description. Step 3: Click “ Statistics” in the dialog box. The model default should be set as “Alpha.” Step 2: Transfer your variables (q1 to q5) into “Items,”. ![]() Step 1: Click “Analyze,” then click “Scale” and then click “Reliability Analysis.” ![]() Cronbach’s alpha will tell you how closely related a set of test items are as a group. To run Cronbach’s alpha in SPSS, make sure you’re measuring latent variables on the Likert scale. ![]()
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