The phrase "a model was tested" is correct and usable in written English.
It can be used in contexts such as research, experiments, or evaluations where a specific model is being assessed for its performance or validity.
Example: "In the study, a model was tested to determine its effectiveness in predicting outcomes based on historical data."
Alternatives: "a model was evaluated" or "a model was assessed".
A model was tested where employee adaptability, operationalized by the presence of resources, predicts individual adaptive attitudes as well as adaptive behavior over time.
After that, a model was tested (not reported in tables), which considered the group (rural or urban) as a moderator of the effects between subjective happiness and independent variables (social support, economic situation assessment, and health assessment).
First a model was tested with cohabitation status as a grouping variable thereby obtaining parameter estimates of the two groups (cohabiting and non-cohabiting parents).
Following van de Schoot et al., a model was tested where the factor loadings were held equal across groups, while the intercepts were allowed to differ across groups.
Moreover, to explore what really matters in the students learning process, a model was tested how the generally known important constructs prior performance, motivation and social integration relate to informal social interaction and student learning.
A model was tested assuming that a common cause of some of the risk factors is a latent confounding variable influencing both observed risk factors and the outcome of interest (special baby care unit) and adding predictive power over and above the observed risk variables.
The Karma has already faced one safety-related recall and the embarrassment of a complete breakdown of a model being tested by Consumer Reports magazine.
Such a model is tested here by means of a one dimensional test particle simulation where ions are launched toward electric and magnetic profiles representing the shock transition.
If a model is tested on the main operation systems (Windows, Linux, Mac OSX), the potential user target group is enlarged.
She trained models based on three separate data sources and found that if a model is tested on a different data set, the outcomes varied significantly (See 3 X 3 matrix).
The closer the RMSR is to 0 for a model being tested, the better the model fit.
