JASP/jaspFactor-R — English @ Hosted Weblate: FIML missing data handling only available with ML-type estimators

	English	Actions
	Second-Order
	The model could not be estimated. Ensure that factors have at least 2 observed variables.
	The model could not be estimated. A factor with less than 2 variables was added in Second-Order.
	FIML missing data handling only available with ML-type estimators
	Robust standard errors are not available with the GLS estimator. Try changing the standard error method in the 'Advanced' settings to fit the model.
	Missing data handling '%s' is not supported for categorical data. Please select another method under 'Missing data handling' within the 'Advanced' options tab
	The model could not be estimated. Error message: %s
	The model is not admissible: %s
	The model could not be estimated due to nonconvergence.

Loading…

None

String updated in the repository

English

English 65 characters edited Current translation Read only

a year ago

Following checks are failing:
Mismatched full stop: Russian, Japanese

English	English
No related strings found in the glossary.

read-only

a year ago

11 months ago

a year ago

po/R-jaspFactor.pot, string 4

JASP

jaspFactor-R

English

Translate