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首页> 外文期刊>Journal of Intelligence >Preventing Response Elimination Strategies Improves the Convergent Validity of Figural Matrices
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Preventing Response Elimination Strategies Improves the Convergent Validity of Figural Matrices

机译:防止响应消除策略可提高图形矩阵的收敛性

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Several studies have shown that figural matrices can be solved with one of two strategies: (1) Constructive matching consisting of cognitively generating an idealized response, which is then compared with the options provided by the response format; or (2) Response elimination consisting of comparing the response format with the item stem in order to eliminate incorrect responses. A recent study demonstrated that employing a response format that reduces response elimination strategies results in higher convergent validity concerning general intelligence. In this study, we used the construction task, which works entirely without distractors because the solution has to be generated in a computerized testing environment. Therefore, response elimination is completely prevented. Our results show that the convergent validity of general intelligence and working memory capacity when using a test employing the construction task is substantially higher than when using tests employing distractors that followed construction strategies used in other studies. Theoretical as well as practical implications of this finding are discussed.
机译:多项研究表明,可以通过以下两种策略之一来解决图形矩阵:(1)构造性匹配,包括认知上生成理想化响应,然后将其与响应格式提供的选项进行比较;或(2)消除响应,包括将响应格式与项目词干进行比较,以消除错误的响应。最近的一项研究表明,采用减少响应消除策略的响应格式可以提高有关通用智能的收敛效度。在这项研究中,我们使用了构造任务,该任务完全不需要干扰因素,因为必须在计算机化的测试环境中生成解决方案。因此,完全防止了响应消除。我们的研究结果表明,使用构造任务进行的测试时,一般智力和工作记忆能力的收敛效度显着高于采用遵循其他研究中使用的构造策略的干扰因素的测试。讨论了这一发现的理论和实践意义。

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