ISSN 1671-3710
CN 11-4766/R
主办：中国科学院心理研究所
出版：科学出版社

心理科学进展 ›› 2014, Vol. 22 ›› Issue (2): 369-380.doi: 10.3724/SP.J.1042.2014.00369

• 研究方法 • 上一篇    

加速追踪设计的方法和应用

唐文清;张敏强;黄宪;张嘉志;王旭   

  1. (1华南师范大学心理学院、心理应用研究中心, 广州 510631) (2广西大学教育学院, 南宁 530004) (3广州市教育局教学研究室, 广州 510030) (4广州市教育信息中心, 广州 510030)
  • 收稿日期:2013-05-09 出版日期:2014-02-15 发布日期:2014-02-15
  • 通讯作者: 张敏强
  • 基金资助:

    全国教育科学“十二五”规划教育部重点课题(GFA111009); 2012年度教育部人文社会科学研究青年基金项目(12YJC190016); 广州市基础教育学业质量监测系统项目(GZIT2012-ZB0292); 广西大学科研基金资助项目(XGS100019)。

Method and Application Researches of Accelerated Longitudinal Design

TANG Wenqing;ZHANG Minqiang;HUANG Xian;ZHANG Jiazhi;WANG Xu   

  1. (1 School of Psychology, Psychological Application Research Center, South China Normal University, Guangzhou 510631, China) (2 School of Education, Guangxi University, Nanning 530004, China) (3 The Teaching Research Office of Guangzhou Education Bureau, Guangzhou 510030, China) (4 The Education Information Center of Guangzhou, Guangzhou 510030, China)
  • Received:2013-05-09 Online:2014-02-15 Published:2014-02-15
  • Contact: ZHANG Minqiang

PDF (PC)

2302

被引次数

3

摘要：

加速追踪设计(ALD)是一种选择相邻多个群组同时进行短期追踪研究, 获得在测量上有重叠的多个群组追踪数据, 对多个群组数据进行合并建构一条在时间跨度上较长的发展趋势或增长曲线的方法。ALD结合真追踪和横断设计的特征, 既保持真追踪设计的大部分优点, 克服真追踪研究中由于重测效应和被试缺失导致的问题, 又尝试分离年龄、群组和历史时间效应, 在发展心理研究有重要应用。已有研究探讨ALD的数据分析方法、ALD的有效性及设计特征。未来研究应关注拓展设计条件下ALD的适应性, 探索非线性假设或群组效应显著时的数据分析方法和ALD中缺失数据处理问题。

关键词: 追踪研究, 加速追踪设计, 数据分析方法, 设计特征

Abstract:

The accelerated longitudinal design (ALD) is a method used to conducts several short-term longitudinal studies of adjacent age cohorts simultaneously, producing temporally overlapping measurements of the adjacent age groups, and then linking the segments of limited longitudinal data from different age cohorts and creating a common long-term developmental trend or growth curve. The method manages to combine true longitudinal and cross-sectional design, which can maintain most of the advantages for true longitudinal design, reducing problems of retest effects and attrition, but may also be able to separate aging effects from period and cohort effects, and thus has been commonly applied in developmental psychology researches. Existing researches focus on data analysis methods, effectiveness and design features of ALD. Future research should study the flexibility when extending design features, and explore data analysis methods under nonlinear hypothesis or when cohort effects exist, and methods for missing data.

Key words: longitudinal study, accelerated longitudinal design, data analysis method, design feature