Description Usage Arguments Examples
Calculates weighted signed difference in expected indicator scores
| 1 | get_wsdi(dat, fit, model, nodewidth = 0.01, lowerLV = -5, upperLV = 5)
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| dat | data frame of indicators | 
| fit | outputted multi-group cfa lavaan object | 
| model | inputted lavaan model syntax | 
| nodewidth | space between nodes during quadrature approximation (default = .01) | 
| lowerLV | lowest latent variable value evaluated (default = -5) | 
| upperLV | greatest latent variable value evaluated (default = 5) | 
| 1 2 3 4 5 | 
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