AN APPROACH TO THE ATTRIBUTION OF AGING, PERIOD, AND COHORT EFFECTS
AN APPROACH TO THE ATTRIBUTION OF AGING, PERIOD, AND COHORT EFFECTS
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DOI：
10.1037/0033-2909.92.1.238
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发表时间：
1982-01-01
影响因子：
22.4
通讯作者：
MCCRAE, RR
中科院分区：
文献类型：
--
作者：
COSTA, PT;MCCRAE, RR
为了摆脱成熟、文化变化和代际差异等固有的混淆因素，寿命方法学家提出了各种分析设计和解释性决策规则。最近的批评表明，拟议的规则是不够的，任何这样一套规则都有逻辑限制。已经提供了一些替代方案，其中大多数要求研究人员有强有力的，理论指导的假设，并假定数据严格符合设计的要求。本文讨论了数据分析是探索性的而不是假设检验的常见情况，以及模型应用于仅粗略满足设计要求的数据的情况。在这种情况下，如果研究人员愿意做出适当的限制性假设，并使用科学判断而不是固定的决策规则，则可以推断出年龄，时期或队列效应。应用的判断原则说明2个纵向数据集，它认为，分析设计是有用的，如果智能应用和解释。(32参考）（PsycINFO数据库记录（c）2016阿帕，保留所有权利）
To extricate the inherently confounded factors of maturation, cultural change, and generational differences, life-span methodologists have proposed a variety of analytic designs and interpretative decision rules. Recent critiques have shown that the proposed rules are inadequate and that there are logical limits to any such set of rules. A number of alternatives have been offered, most of which require the investigator to have strong, theoretically guided hypotheses and presume that the data conform strictly to the demands of the design. This article addresses the common situation in which data analysis is exploratory rather than hypothesis testing and in which the model is applied to data that only loosely meet the requirements of the design. In this case, aging, period, or cohort effects can be inferred if the researcher is willing to make appropriate restrictive assumptions and use scientific judgment rather than fixed decision rules. The application of judgmental principles is illustrated on 2 longitudinal data sets, and it is argued that the analytic designs are useful if intelligently applied and interpreted.(32 ref)(PsycINFO Database Record (c) 2016 APA, all rights reserved)