Compatibility of content coverage and one-dimensional statistical modelling by item response theory models with local item dependencies and an application in personality psychology
内容覆盖范围和一维统计建模与局部项目依赖性的项目反应理论模型的兼容性及其在人格心理学中的应用
基本信息
- 批准号:319938237
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2016
- 资助国家:德国
- 起止时间:2015-12-31 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Psychological constructs, such as intelligence or depression, are typically multidimensional and their measurement requires sufficient content coverage. Nevertheless, in practice one-dimensional measurement models are commonly employed. This is often sensible because a multidimensional statistical approach does not always offer advantages (higher model-complexity, fit not necessarily improved). In addition, a one-dimensional construct is easier to interpret in concrete scientific investigations. Hence, this research project aims to further the development of methods for the construction of one-dimensional scales, with these methods incorporating underlying multidimensionality through local item dependence. The approach builds on a recently published method of Edward Ip that projects multidimensional models into unidimensional models. The method will be initially generalized to the case of polytomous items. Then, a simulation study will compare different robust person parameter estimators. Since the discrimination parameters define the construct in the multidimensional case (in contrast to the one-dimensional case where discrimination merely determines measurement accuracy), different rotations will be implemented and investigated. These rotations will be used to identify discrimination parameters with desirable properties in regard to statistics and content coverage. The newly developed methods are to be applied in personality psychology. Through this project, a psychometric scale for susceptibility will be developed. Susceptibility (also named sensitivity or vulnerability) is multi-dimensional and a suitable scale should inhibit sufficient content coverage. Nevertheless, one-dimensional modelling offers advantages within the context of the investigation of the diathesis-stress-model and the differential susceptibility hypothesis, especially with respect to interpretability and complexity. Because susceptibility is often studied in the framework of gene x environment interactions, we will also include genetic markers (the polymorphisms BDNF Val66Met, DRD2/ANKK1 Taq Ia, 5-HTTLPR, and DRD4 VNTR) for external validation in the development of a suitable scale.
心理结构,如智力或抑郁,通常是多维的,其测量需要足够的内容覆盖。然而,在实践中,通常采用一维测量模型。这通常是明智的,因为多维统计方法并不总是提供优势(更高的模型复杂性,拟合不一定得到改善)。此外,在具体的科学研究中,一维结构更容易解释。因此,本研究项目的目的是进一步发展的方法,构建一维尺度,这些方法通过本地项目依赖性纳入潜在的多维性。该方法建立在最近发表的爱德华叶的多维模型到一维模型项目的方法。该方法将最初推广到多分类项目的情况下。然后,模拟研究将比较不同的鲁棒个人参数估计。由于判别参数定义了多维情况下的结构(与判别仅确定测量精度的一维情况相反),因此将实施和研究不同的旋转。这些旋转将被用来确定具有统计和内容覆盖方面所需属性的判别参数。新发展的方法将应用于人格心理学。通过这一项目,将制定一个敏感性的心理测量量表。易感性(也称为敏感性或脆弱性)是多维度的,适当的尺度应该抑制足够的内容覆盖。尽管如此,一维建模提供了优势的背景下,调查的素质压力模型和差异易感性假说,特别是在可解释性和复杂性。由于易感性通常是在基因x环境相互作用的框架下研究的,因此我们还将包括遗传标记物(多态性BDNF Val 66 Met、DRD 2/ANKK 1 Taq Ia、5-HTTLPR和DRD 4 VNTR),用于开发合适量表的外部验证。
项目成果
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