Twelve Frequently Asked Questions About Growth Curve Modeling.
Twelve Frequently Asked Questions About Growth Curve Modeling.
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DOI：
10.1080/15248371003699969
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Losardo D
中科院分区：
文献类型：
--
作者：
Curran PJ;Obeidat K;Losardo D
长期以来，纵向数据分析在发展科学的实证研究中发挥着重要作用。在过去的十年里，出现了许多新的、令人兴奋的分析方法来研究人与人之间的人与人之间的变化。这些方法被广泛地组织在长期增长曲线模型下。导致当前增长模式的历史发展路线跨越了社会科学和统计科学中的多个学科，这反过来又使发展研究人员难以更广泛地了解这一文献的现状。为了帮助解决这一挑战，作者提出了12个在生长曲线建模中经常出现的问题，特别是在发展心理学的应用中。他们对每个问题提供简明和非技术性的回答，并为进一步阅读提出具体的建议。
Longitudinal data analysis has long played a significant role in empirical research within the developmental sciences. The past decade has given rise to a host of new and exciting analytic methods for studying between-person differences in within-person change. These methods are broadly organized under the term growth curve models. The historical lines of development leading to current growth models span multiple disciplines within both the social and statistical sciences, and this in turn makes it challenging for developmental researchers to gain a broader understanding of the current state of this literature. To help address this challenge, the authors pose 12 questions that frequently arise in growth curve modeling, particularly in applications within developmental psychology. They provide concise and nontechnical responses to each question and make specific recommendations for further readings.
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影响因子：
7
作者：
Curran, PJ;Bauer, DJ;Willoughby, MT
通讯作者：
Willoughby, MT
影响因子：
3.8
作者：
Bauer, Daniel J.
通讯作者：
Bauer, Daniel J.
影响因子：
4
作者：
Brown, J. Scott;Meadows, Sarah O.;Elder, Glen H., Jr.
通讯作者：
Elder, Glen H., Jr.
影响因子：
6.3
作者：
Bollen, KA;Curran, PJ
通讯作者：
Curran, PJ
影响因子：
22.4
作者：
CRONBACH, LJ
通讯作者：
CRONBACH, LJ