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本文主要介绍轨迹分析模型在追踪数据分析中的应用,通过轨迹分析模型可分析异质性的追踪数据,探索分析群体的多条发展轨迹。通过对264名学生四次自我概念测量的数据,利用轨迹分析模型拟合其发展趋势。结果表明通过多次轨迹模型的分析,可将264名学生的自我概念测量的发展水平分为3个亚组,第1组为低分组,占25%,这部分人群呈三次曲线发展趋势,在4年级略微下降,5年级迅速下降,到6年级时略有上升。第2组为中分组,占56.3%,该亚组呈二次发展趋势,在3~5年级持续平稳下降,到6年级时略有回升。第3组为高分组,占18.7%,总的来看呈缓慢上升趋势。
This paper mainly introduces the application of trajectory analysis model in tracing data analysis. Through the trajectory analysis model, the tracing data of heterogeneity can be analyzed and the development trajectories of groups can be explored and analyzed. Through the data of 264 self-concept measurements of 264 students, the trajectory analysis model is used to fit the development trend. The results show that through the analysis of multiple trajectory models, the level of self-concept measurement of 264 students can be divided into three subgroups, the first group is low group, accounting for 25%, this part of the population showed a trend of cubic curve, Grade 4 dropped slightly, Grade 5 dropped rapidly, and rose slightly by Grade 6. The second group is the middle group, accounting for 56.3%. The subgroup showed a secondary trend of decline, continuing to decline steadily in the third to fifth grades and slightly rising to the sixth grade. Group 3 is a high group, accounting for 18.7%, showing a slow upward trend overall.