Extending the assessment of complex problem solving to finite state automata: Embracing heterogeneity.

Latent correlations for MicroFIN, MicroDYN and CogAT estimated separately Table with latent correlations for structural equation models with latent factors for both dimensions of CPS (knowledge acquisition and knowledge application) and both CPS assessment instruments (MicroFIN and MicroDYN) estimated separately instead of the reference model used in the article. For more information see Neubert, J. C., Kretzschmar, A., Wüstenberg, S., &amp; Greiff, S. (2014). Extending the Assessment of Complex Problem Solving to Finite State Automata: Embracing Heterogeneity. <em>European Journal of Psychological Assessment.</em> Advance online publication. doi:10.1027/1015-5759/a000224 If you intend to use these results, please cite the original article in EJPA.本数据集为分别针对MicroFIN、MicroDYN与CogAT估计得到的潜在相关系数（latent correlations）表。该表基于复杂问题解决（Complex Problem Solving, CPS）的两个维度——知识获取与知识应用，以及两种CPS评估工具（MicroFIN与MicroDYN），构建带潜在因子（latent factors）的结构方程模型（Structural Equation Model, SEM），其潜在相关系数为分别估计所得，而非采用本文所使用的参考模型。如需获取更多细节，请参阅下述文献：Neubert, J. C., Kretzschmar, A., Wüstenberg, S. & Greiff, S. (2014). 《将复杂问题解决评估拓展至有限状态自动机：探析异质性》（Extending the Assessment of Complex Problem Solving to Finite State Automata: Embracing Heterogeneity），刊载于《欧洲心理评估期刊（European Journal of Psychological Assessment）》，预在线发表，DOI: 10.1027/1015-5759/a000224。若您计划使用本数据集的结果，请引用该发表于《欧洲心理评估期刊》的原创研究论文。