Reducing bias and error in the correlation coefficient due to nonnormality
It is more common for educational and psychological data to be nonnormal than to be
approximately normal. This tendency may lead to bias and error in point estimates of the …
approximately normal. This tendency may lead to bias and error in point estimates of the …
Incorporating machine learning into sociological model-building
MD Verhagen - Sociological Methodology, 2024 - journals.sagepub.com
Quantitative sociologists frequently use simple linear functional forms to estimate
associations among variables. However, there is little guidance on whether such simple …
associations among variables. However, there is little guidance on whether such simple …
Comparing formation methods for value models for the NASA Artemis human landing system
View Video Presentation: https://doi. org/10.2514/6.2021-1155. vid There are many ways to
form value models, but few comparisons of value model formation methods in literature. This …
form value models, but few comparisons of value model formation methods in literature. This …
Advocating the use of threshold effects estimation: An illustration using the gender wage gap
While linear models remain the backbone of human resource development (HRD) as well as
broader social science research, they are limited by their inability to detect curvilinearity or …
broader social science research, they are limited by their inability to detect curvilinearity or …
Exploring Differences in Value Functions Allowed by Ordinal Validation
Decision-based design often states an aspirational goal for value functions of achieving
perfect ordinal consistency. How reliably such a standard can be achieved, however, is …
perfect ordinal consistency. How reliably such a standard can be achieved, however, is …
Order‐constrained linear optimization
Despite the fact that data and theories in the social, behavioural, and health sciences are
often represented on an ordinal scale, there has been relatively little emphasis on modelling …
often represented on an ordinal scale, there has been relatively little emphasis on modelling …