Lininger Monica, Spybrook Jessaca, Cheatham Christopher C
Department of Education Leadership, Research and Technology, Western Michigan University, Kalamazoo. Dr Lininger is now at Northern Arizona University.
J Athl Train. 2015 Apr;50(4):438-41. doi: 10.4085/1062-6050-49.5.09.
Longitudinal designs are common in the field of athletic training. For example, in the Journal of Athletic Training from 2005 through 2010, authors of 52 of the 218 original research articles used longitudinal designs. In 50 of the 52 studies, a repeated-measures analysis of variance was used to analyze the data. A possible alternative to this approach is the hierarchical linear model, which has been readily accepted in other medical fields. In this short report, we demonstrate the use of the hierarchical linear model for analyzing data from a longitudinal study in athletic training. We discuss the relevant hypotheses, model assumptions, analysis procedures, and output from the HLM 7.0 software. We also examine the advantages and disadvantages of using the hierarchical linear model with repeated measures and repeated-measures analysis of variance for longitudinal data.
纵向设计在运动训练领域很常见。例如，在2005年至2010年的《运动训练杂志》中，218篇原创研究文章中有52篇的作者使用了纵向设计。在这52项研究中的50项中，采用了重复测量方差分析来分析数据。这种方法的一种可能替代方法是分层线性模型，该模型已在其他医学领域被广泛接受。在本简短报告中，我们展示了如何使用分层线性模型来分析运动训练纵向研究的数据。我们讨论了相关假设、模型假设、分析程序以及HLM 7.0软件的输出结果。我们还考察了将分层线性模型与重复测量和重复测量方差分析用于纵向数据的优缺点。
