Sentence examples for more robust evaluation from inspiring English sources

However, lack of rigorous evidence limits conclusions regarding the effectiveness of adolescent IPV and SV prevention programs and indicates a need for more robust evaluation.

In Race to the Top's 500-point scoring system, states can earn at least 58 points for developing more robust evaluation systems and using them to make staffing decisions, like who should get tenure.

While these changes may not yield "the largest ever cut by far in terms of regulations," they may lead to more robust evaluation of the actual impacts of regulations.

The authors acknowledge that a more robust evaluation process, in particular a more thorough understanding of a priori knowledge of the students' Earth science and evolution knowledge, would be beneficial to further affirm the efficacy of such projects.

With most of the metrics, the difference between the RMSE results from experiments in [7, 8] is relatively large, and more experiments should be conducted to form a more robust evaluation of the metrics.

To provide a more robust evaluation of the models we presented AUC scores but along with measures of omission and commission that were based on the 15% testing subset [62].

In most cases this relates to areas worthy of future investigation, which need more robust evaluations.

Telemedicine between healthcare providers and schools, and individually-tailored support for school children is effective in specific contexts, but more robust evaluations are required.

The methodological limitations of the study design used for this service evaluation, and the lack of detailed individual patient and service cost outcomes mean that it is too early to expect these findings to be generalisable; undoubtedly more robust evaluations are required.

Owing to our scepticism about the validity of the published effect estimates of the intervention programme and our general interest in having more robust evaluations of large-scale interventions, we sought to conduct a new analysis with a more rigorous methodological approach, that is, an interrupted time-series analysis.

In 2012, a post-survey evaluation of the module demonstrated positive findings; following a number of revisions to the module, this more robust pre/post evaluation was conducted.