Sentence examples for diverse empirical data from inspiring English sources

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Typically, such statements are accepted as "correct" inasmuch as they i) are compatible with a large body of diverse empirical data and ii) explain diverse aspects of the world in an economical and plausible manner (of course, this is a rehash of the well-known Popperian paradigm, I have no aspiration to be original here).

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Models provide a means for representing, integrating, and manipulating diverse and complex empirical data.

It will be informed by the described conceptual framework and rely on a continuous triangulation between the emerging analytical and the predefined theoretical concepts in conjunction with the diverse sources of empirical data.

To test these hypotheses in diverse environmental conditions, empirical data is needed that considers development rate 1) in response to multiple factors [ 50], 2) over a gradient, (i.e. 2 or more levels) of each environmental factor [ 17], and 3) across heterogeneous space [ 19].

There was no uniform rating scale and the articles were coded according to two criteria proposed by Whittemore [ 38] when using diverse empirical sources: methodological rigour and data relevance on a 2-point scale (1 = low; 2 = high).

There's a lot of empirical data to show that diverse cities are more productive, diverse boards of directors make better decisions, the most innovative companies are diverse.

The identification of these customer preferences provides hotel revenue managers with empirical data on the attitudes of culturally diverse consumers, and this information can enable the design of hotel pricing policies that attract consumers in the global market.

Grounded in the vast and diverse theoretical epidemiology field, these mathematical models serve as valuable tools to explain empirical data, predict possible outcomes of virus infection, and propose the optimal strategy of anti-virus therapy [ 1, 2].

To achieve this vision, we need to embrace diverse research methodologies that incorporate ecology, sociology, anthropology, political science, economics and other disciplines that are anchored in empirical data.

There simply is no empirical data.

Again, if you read his empirical books they are full of empirical data.

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