![]() ![]() This sub-selection included 1290 females and 762 males. In any case, and in an attempt to orient the analysis towards samples with a similar background, a parallel approach was carried out considering only the data of the individuals that had completed the CogniFit® assessment and who indicated that were US citizens. This is especially relevant in the context of the current analysis, considering that getting national data on motor vehicle crashes of a cohort who has been assessed with a cognitive battery immediately before they were involved in the accidents is virtually impossible. And second, and conditional upon the premise of having sufficiently large sample sizes that could allow for generalizability and transferability, it should be considered that using parameter estimates resulting from either a normative dataset or an analysis to account for variance from a different sample is an increasingly popular means of extrapolation (see, for instance, this article). First, it is worth considering that the results of a given cognitive test with an ample and representative sample size and adequate psychometric properties such as CogniFit®’s (see this link for details on the validity and reliability of the assessment tools) could be taken as normative data and consequently applied to other similar samples by means of generalization. However, several notes should be made at this regard. ![]() Probability estimation of being involved in a motor vehicle crash as a function of sociodemographic and cognitive data. ![]()
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