Ordinal categories of the K - 10 scores were used to define well (< 20), mild (20 — 24), moderate (25 — 29) and severe (≥ 30) psychological distress.
Not exact matches
After his account, I will explore the relevance of this account to the possible development of an
ordinal, process theology based on Buchler's
categories.
sean reardon of Stanford University and Andrew Ho of Harvard University are the 2013 recipients of the Palmer O. Johnson Award for the article, Estimating Achievement Gaps From Test Scores Reported in
Ordinal «Proficiency»
Categories, published in the Journal of Educational and Behavioral Statistics in August 2012.
Considering the discrete
ordinal nature of injury severity
categories, a Mixed Generalized Ordered Response Probit (MGORP) modeling framework was developed.
We also tested the correlations between GHG emissions and GDP against vulnerability to climate change by treating vulnerability
categories as
ordinal data and undertaking spearman's rho tests using R statistical software31.
Tobit regression will be used to confirm the sensitivity of linear regression to a non-normal distribution for outcomes with a censored normal distribution, and
ordinal logistic regression for outcomes with up to five ordered
categories.
Additionally, we accounted for missing data using mean substitution coupled with missing flags for continuous variables and through the inclusion of a missing
category for nominal /
ordinal variables.
The former two were recoded from four -
category ordinal questionnaire responses.