This node calculates the Standardized Cronbach Alpha based on the correlation provided in the correlation matrix. It uses the mean of the non-redundant correlation coefficient to describe an internal consistency of the data. Unlike raw cronbach alpha, standardized cronbach alpha is based upon the correlations rather than the covariances. The theoretical value of alpha varies from zero to 1. However, depending on the estimation procedure used, estimates of alpha can take on any value less than or equal to 1. As an input correlation model output of linear correlation node should be used.
Popular Successors
Rank Correlation20 %- Normalizer11 %
- Crosstab10 %
- Rank Correlation7 %
- Statistics6 %
- Cronbach Alpha5 %
Linear Correlation5 %- Interactive Table (legacy)2 %
Table Writer2 %- PCA2 %
- Partitioning2 %
- Numeric Outliers2 %
Column Appender1 %CSV Writer1 %Loop End1 %Naive Bayes Learner1 %- k-Means1 %
K Nearest Neighbor1 %- Regression Predictor1 %
- Correlation Filter1 %
Joiner1 %- Ungroup1 %
- Rule Engine1 %
- Independent groups t-test1 %
- Pie chart (legacy)1 %
- Color Manager1 %
Table to PDF1 %- GroupBy Bar Chart (JFreeChart)1 %
- SVM Learner1 %
- Excel Writer1 %
- ROC Curve (JavaScript)1 %
- Workflow Service Input1 %
Views
- This node has no views
Workflows
Links
- No links available
Developers
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.