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首页> 外文期刊>Merrill-Palmer quarterly >Person-centered and variable-centered approaches to longitudinal data
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Person-centered and variable-centered approaches to longitudinal data

机译:以人为中心和以变量为中心的纵向数据方法

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摘要

As the number and scope of longitudinal investigations have expanded, so too have strategies for analyzing prospective data. Different analytic techniques are designed to answer different types of research questions. Person-centered approaches identify groups of individuals who share particular attributes or relations among attributes. They are well suited for addressing questions that concern group differences in patterns of development. Variable-centered approaches describe associations between variables. They are well suited for addressing questions that concern the relative contributions that predictor variables make to an outcome. This special issue includes conceptual essays and empirical reports designed to demonstrate the complementary strengths of these two different approaches. The articles illustrate how the integration of person-oriented and variable-oriented approaches can lead to a more complete understanding of the processes and patterns of human development.
机译:随着纵向调查的数量和范围的扩大,用于分析预期数据的策略也随之增加。设计了不同的分析技术来回答不同类型的研究问题。以人为中心的方法确定了共享特定属性或属性之间关系的个人群体。它们非常适合解决与群体在发展模式上的差异有关的问题。以变​​量为中心的方法描述了变量之间的关联。它们非常适合解决与预测变量对结果的相对贡献有关的问题。本期特刊包括概念性论文和经验报告,旨在证明这两种不同方法的互补优势。这些文章说明了以人为本和以变量为导向的方法的集成如何可以导致对人类发展的过程和模式的更完整的理解。

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