Click Analyze > Sc ale > Reliability Analysis.(and the subscription version of SPSS Statistics) At the end of these seven steps, we show you how to interpret the results from your Cronbach's alpha analysis. If you are unsure which version of SPSS Statistics you are using, see our guide: Identifying your version of SPSS Statistics. The latest versions of SPSS Statistics are version 28 and the subscription version. In this section, we set out this 7-step procedure depending on whether you have versions 26, 27 or 28 (or the subscription version of SPSS Statistics) or version 25 or an earlier version of SPSS Statistics.
SPSS Statistics Test Procedure in SPSS StatisticsĬronbach's alpha can be carried out in SPSS Statistics using the Reliability Analysis.
Alternately, you can learn about our enhanced data setup content on our Features: Data Setup page. To know how to correctly enter your data into SPSS Statistics in order to run a Cronbach's alpha test, see our guide: Entering Data into SPSS Statistics. In SPSS Statistics, the nine questions have been labelled Qu1 through to Qu9. In order to understand whether the questions in this questionnaire all reliably measure the same latent variable (feeling of safety) (so a Likert scale could be constructed), a Cronbach's alpha was run on a sample size of 15 workers. Each question was a 5-point Likert item from "strongly disagree" to "strongly agree". SPSS Statistics ExampleĪ researcher has devised a nine-question questionnaire to measure how safe people feel at work at an industrial complex.
If you are concerned with inter-rater reliability, we also have a guide on using Cohen's (κ) kappa that you might find useful. It is most commonly used when you have multiple Likert questions in a survey/questionnaire that form a scale and you wish to determine if the scale is reliable. Cronbach's Alpha (α) using SPSS Statistics IntroductionĬronbach's alpha is the most common measure of internal consistency ("reliability").
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