Sentence examples for making causal claims from inspiring English sources

With support from the U.S. National Science Foundation in 2015 AERA held workshops on making causal claims with ILSA data.

Under the best conditions, even when using methods that focus on making causal claims, answers to most researchers' questions are qualified and limited in scope.

Making causal claims using ILSA data, however, cannot simply be achieved by modifying the measurement of particular concepts or variables for a particular context.

In clinical settings, the gold-standard for making causal claims is the randomized-control trial (RCT; Meldrum 2000), where subjects are randomly assigned to treatment and control groups.

Consequently, our study design prohibits making causal claims but does provide rich information on associations between the intervention and knowledge and acceptance change.

In the next section we outline some limitations to making causal claims in educational research by examining two popular educational studies and submitting them to the validity framework outlined above.

Our key finding is that researchers fail to address at least 66% and up to 90% of design and estimation conditions that make causal claims invalid.

To make causal claims, we study an unusually drafted agreement in which states had almost no opportunity to dilute agreement language.

More specifically, interventionist mechanisms can provide the bridge from 'hunting causes' to 'using them', if interventionists (i) tell us more about the nature of these mechanisms, and (ii) endorse the claim that it is these mechanisms or whatever constitutes them that make causal claims true.

We realize we cannot make causal claims about our results.

One way of avoiding this problem, suggested in Hitchcock (2004a) is to make causal claims explicitly contrastive.