Sentence examples for failing model from inspiring English sources

Meanwhile the countries we now envy have the mixed system the Labour government refused to adopt, while the UK's NHS appears stuck in an ailing, if not failing model invented in the 1940s.

The wisdom of exporting a failing model from means-tested social care to our universalist NHS is even more questionable – unless the plan of policymakers is to use it as a stalking horse for a very different kind of health service, more like social care, based on charging, rationing and much more privatisation.

But Oscar for Business is not a new answer to a failing model, according to CEO Mario Schlosser.

At the heart of the argument, lie competing views of what France's vaunted but failing model of education should be about.

Add this all up and it keeps getting clearer and clearer: It makes less sense every day to try to preserve and protect - to invest in - what is obviously a failing model.

The difficult challenge is to separate the theoretically based and substantively informative yet failing models from models that failed because they were ill conceived nonsense.

As entrepreneurs, we have to know when to change failing models and when to cut losses and start again.

The observation that journal editors are disinclined to publish failing models is translated by some people as implicit instruction to not report their model as failing.

Routinely refusing to publish substantive failing models can create disciplinary dead-ends because the discipline is not being informed of substantive theoretical and/or methodological deficiencies.

This theory laxity, supplemented by entrenched but weak factor rules of thumb, resulted in so many failing models that factor-based researchers readily adopted a host of test-displacing fit indices rather than address significant model failures.

Anyone thinking the challenge to honestly report uncomfortable test results is a trivial or infrequent concern should remember that fit indices were initially introduced precisely to mollify researchers fretting over failing models.