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Rounds were inspected to ensure they showed no signs of tampering.
Additionally, data points were inspected to ensure a low error rate.
All cadavers were inspected to verify the presence of cutaneous nerves at the proposed treatment lines.
Information functions of each resulting scale were inspected to examine the achieved latent variable coverage.
Alignment error were inspected to check accuracy and precision of the algorithm.
Fracture surfaces were inspected to characterize the fretting fatigue crack front indicated by heat tinting.
Again, Andersen's conditional likelihood ratio test and the non-parametric T10-statistic were inspected to gauge DIF.
To ensure and support the analysis of mechanical properties, impact tensile strength tests were inspected to all welding specimens.
Directly after image acquisition and reconstruction, images were inspected to rule out technical issues like motion artefacts or poor injections.
Factor score distributions were inspected to ensure that they satisfied the normality assumptions of the statistical tests to be used (DiStefano et al. 2009).
Andersen's conditional likelihood ratio test and the nonparametric T10-statistic were inspected to compare the item parameter estimation under the Rasch model between pretest and posttest data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com