CAJ | 학술논문

比较多水平模型和潜变量增长曲线模型在纵向数据分析中的应用。文中以结直肠癌患者术后的生命质量情况为实例，比较两种方法的异同。结果表明两方法的参数估计值结果非常接近，多水平模型在模型构建时较为容易，而潜变量增长曲线模型在模型评价等方面具有优势。两方法均可很好地分析纵向观测的数据，且各有优点，研究者应根据需要选择合适的方法分析数据。
비교다수평모형화잠변량증장곡선모형재종향수거분석중적응용。문중이결직장암환자술후적생명질량정황위실례，비교량충방법적이동。결과표명량방법적삼수고계치결과비상접근，다수평모형재모형구건시교위용역，이잠변량증장곡선모형재모형평개등방면구유우세。량방법균가흔호지분석종향관측적수거，차각유우점，연구자응근거수요선택합괄적방법분석수거。
To compare two commonly used statistical approaches:the multilevel model and the latent growth curve model in analyzing longitudinal data. A longitudinal data set,obtained from the quality of life in patients with colorectal cancer after operation,was used to illustrate the similarities and differences between the two methods. Results from the study indicated that the latent growth curve modeling was equivalent to multilevel modeling with regards to longitudinal data which could yield identical results for the estimates of parameters. Multilevel model approach seemed easier for model specification. However,latent growth curve model had the advantage of providing model evaluation and was more flexible in statistical modeling by allowing the incorporation of latent variables. Both multilevel and latent growth curve models were suitable for analyzing longitudinal data with advantages on their own,they conld be chosen by researchers under different situation to be chosen accordingly by researchers under different situation.