Deboeck Pascal R, Nicholson Jody, Kouros Chrystyna, Little Todd D, Garber Judy
University of Kansas.
University of North Florida.
Appl Dev Sci. 2016;19(4):217-231. doi: 10.1080/10888691.2015.1021924.
Matching theories about growth, development, and change to appropriate statistical models can present a challenge, which can result in misuse, misinterpretation, and underutilization of different analytical approaches. We discuss the use of --- the change of a construct with respect to changes in another construct. Derivatives provide a common language linking developmental theory and statistical methods. Conceptualizing change in terms of derivatives allows precise translation of theory into method and highlights commonly overlooked models of change. A wide variety of models can be understood in terms of the level, velocity and acceleration of constructs: the 0, 1, and 2 derivatives, respectively. We introduce the language of derivatives, and highlight the conceptually differing questions that can be addressed in developmental studies. A substantive example is presented to demonstrate how common and unfamiliar statistical methodology can be understood as addressing relations between differing pairs of derivatives.
将关于成长、发展和变化的理论与适当的统计模型相匹配可能是一项挑战,这可能导致不同分析方法的滥用、误解和未充分利用。我们讨论了——一个结构相对于另一个结构变化的变化情况。导数提供了一种将发展理论与统计方法联系起来的通用语言。用导数来概念化变化可以将理论精确地转化为方法,并突出了通常被忽视的变化模型。各种各样的模型可以根据结构的水平、速度和加速度来理解:分别对应于0阶、1阶和2阶导数。我们引入导数的语言,并强调在发展研究中可以解决的概念上不同的问题。给出了一个实质性的例子,以说明常见和不常见的统计方法如何被理解为处理不同导数对之间的关系。