Your English writing platform
Discover LudwigSimilar(60)
Does either SMI or MMI of missing values on background variables lead to unbiased estimates of subpopulation proficiency means, the mean subpopulation proficiency difference, and regression coefficients of proficiency on background variables?
Mislevy (1991) proves that this process yields unbiased estimates of mean proficiencies for groups defined by the factors incorporated in the latent regression model.
Does either SMI or MMI of missing values on background variables lead to unbiased estimates of standard errors of subpopulation proficiency means, the mean subpopulation proficiency difference, and regression coefficients?
With proficiency comes progress.
Lake is hardly unbiased.
"We're unbiased".
Scientists should be unbiased.
Neither are unbiased.
Many have limited English proficiency.
(Yes, a medal for "proficiency").
Most students had basic proficiency.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com