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Using models to simulate data is an important component of pharmacometric model evaluation and inference.
To situate their work, the authors cite the Delphi Report's (Facione, 1990) definition of critical thinking as "purposeful, self-regulatory judgment that results in interpretation, analysis, evaluation, and inference as well as explanation of the evidential, conceptual, methodological, criteriological, or contextual considerations upon which that judgment is based".
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Table 1 An overview of the evaluation and explanation inferences Inferences Warrants Assumptions Backing Evaluation 1. Observations of performance on the test are properly evaluated to provide observed scores reflective of pragmatic comprehension ability.
The methodology consists of analytic network process (ANP), reality-design gap evaluation and fuzzy inference system.
This study thus focused on obtaining backing in support of the evaluation and explanation inferences in a validity argument associated with developing a L2 Chinese pragmatic comprehension test.
Following the framework of an argument-based approach to test validation, this study attempts to obtain backing for the Evaluation and Explanation inferences.
From the perspective of an argument-based approach to test validation (Kane 2013), those issues appear to be related to the evaluation and explanation inferences.
While Walter's study did not adopt an argument-based approach to validation, the results raised issues relevant to the evaluation and explanation inferences of a validity argument for assessing pragmatic comprehension.
The literature review suggests a need for researching what constitutes appropriate backing to support the evaluation and explanation inferences in a validity argument associated with developing instruments for assessing L2 pragmatic comprehension ability.
The contemporary view of scientific reasoning encompasses the procedures of scientific inquiry including hypothesis generation, experimental design, and evidence evaluation and drawing inferences (Anderson 2006; Koslowski 1996; Kuhn and Franklin 2007; Kuhn and Pearsall 2000; Wilkening and Sodian 2005; Zimmerman 2007).
To fill these gaps in the literature, this study followed an argument-based approach to test validation (Kane 2013) and examined the soundness of the evaluation and explanation inferences in a validity argument associated with developing a L2 Chinese pragmatic comprehension test.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com