Breit Moritz, Scherrer Vsevolod, Preckel Franzis
Department of Psychology, University of Trier, Germany.
MethodsX. 2021 Dec 23;9:101613. doi: 10.1016/j.mex.2021.101613. eCollection 2022.
The temporal stability of psychological test scores is one prerequisite for their practical usability. This is especially true for intelligence test scores. In educational contexts, high stakes decisions with long-term consequences, such as placement in special education programs, are often based on intelligence test results. There are four different types of temporal stability: mean-level change, individual-level change, differential continuity, and ipsative continuity. We present statistical methods for investigating each type of stability. Where necessary, the methods were adapted for the specific challenges posed by intelligence research (e.g., controlling for general intelligence in lower order test scores). We provide step-by-step guidance for the application of the statistical methods and apply them to a real data set of 114 gifted students tested twice with a test-retest interval of 6 months. • Four different types of stability need to be investigated for a full picture of temporal stability in psychological research • Selection and adaption of the methods for the use in intelligence research • Complete protocol of the implementation.
心理测试分数的时间稳定性是其实际可用性的一个前提条件。对于智力测试分数而言尤其如此。在教育背景下,诸如安置到特殊教育项目等具有长期影响的重大决策,往往基于智力测试结果。时间稳定性有四种不同类型:平均水平变化、个体水平变化、差异连续性和自比连续性。我们介绍了用于研究每种稳定性类型的统计方法。必要时,这些方法针对智力研究提出的特定挑战进行了调整(例如,在低阶测试分数中控制一般智力)。我们为统计方法的应用提供了逐步指导,并将其应用于一个由114名天才学生组成的真实数据集,这些学生在6个月的重测间隔内接受了两次测试。• 在心理研究中,为全面了解时间稳定性,需要研究四种不同类型的稳定性 • 选择并调整用于智力研究的方法 • 完整的实施方案