纵向Rasch模型在大学新生适应性追踪研究中的应用

Adjustment of Freshman College Students:A longitudinal Study using Longitudinal Rasch Model

对 1952名大学新生进行适应性调查，其中285人接受了2次以上的追踪调查，所得的多级评分重复测量数据采用纵向Rasch模型进行统计分析。研究应用 SAS的GLIMMIX过程对多层Rasch模型参数估计作了新的尝试。结果表明：（1）新生在第一学年内，学习和情绪适应总体呈上升趋势，人际适应呈下降趋势；（2）不同个体入学时的适应状况差异显著，但是随时间变化的趋势、快慢相同；（3）学习适应分量表的项目稳定性较好，而人际、情绪适应的部分项目难度存在时间效应。研究结果对新生辅导具有启示意义。

University attendance is a critical transition for many late adolescents. Many researchers have argued that successful adjustment， particularly during the first year， can predict students’ academic success， mental health and personal development. Thus， it is imperative for researchers to understand how adjustment problems emerge over time and vary across different students and develop prevention and how intervention efforts aid a smooth and productive transition. However， most of the traditional