Sentence examples for a more general conclusion from inspiring English sources

"a more general conclusion" is correct and usable in written English.
You could use it when referring to a conclusion that contains information applicable to a broader audience, topic, or context. For example, "This study has lead us to a more general conclusion about how people perceive certain topics."

Exact(7)

We also need more affinity data from other species to make a more general conclusion about cross-species generality.

For a more general conclusion, it requires further studies on other signalling transduction domains involving proline-rich-motifs, such as the SH3 domain, and it needs experimental validations.

A more general conclusion is the validation of the approach of optimizing faceted secondary concentrators with flexible geometry to match heliostat fields having a wide range of possible contours.

Consequently, a more general conclusion could not be reached from the study.

Additional evidence of the extent of conserved synteny and gene order in more distantly related species is needed before drawing a more general conclusion about the extent of chromosome stability in Lepidoptera.

Therefore, a more general conclusion is that common avoidance cues (dominant, angry, masculine) lead to more aggressive wagering decisions (i.e., increased calling), whereas approach cues (happy, friendly, trustworthy, attractive) tend to lead to conservative wagering decisions (i.e., increased folding).

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Similar(53)

Future research should consider analysis of different industries and sizes of samples to test the findings of this study on a large scale in order to obtain a more-general conclusion.

If there are any more general conclusions to be drawn from what was originally half a million words of material, Jones isn't telling, which makes one wonder what the point of her project was.

In fact, we prove the following more general conclusion.

Furthermore, one can obtain more general conclusion corresponding to the results of this paper by taking more general matrices instead of the Fibonacci matrix.

We remark that our result on the RIP is not limited to LASSO, but leads to the more general conclusion that sparse estimation algorithms can be used to approximate cost-to-go functions of wireless networks.

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