Reliability Estimates for Multilevel Designs in Group Research
Reliability Estimates for Multilevel Designs in Group Research
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DOI：
10.1177/1046496412437614
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发表时间：
2012-08-01
影响因子：
3.7
通讯作者：
Keyton, Joann
中科院分区：
文献类型：
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作者：
Bonito, Joseph A.;Ruppel, Erin K.;Keyton, Joann
从小组过程中获取小组成员成果的项目（例如，满意度，凝聚力）往往是不独立的。大多数测量模型的主要假设是数据是独立的;因此，将此类模型应用于在个人分析层面测量的群体结果数据可能会产生不准确的估计。测量非独立数据的解决方案涉及使用多水平建模来估计项目、个体和组水平分析的方差。从几个不同的统计程序提供的例子，和蒙特卡罗模拟被用来评估组的大小和项目的数量对可靠性估计的影响。
Items that capture group members' outcomes from small group processes (e.g., satisfaction, cohesion) are often nonindependent. A primary assumption of most measurement models is that the data are independent; applying such models to group-outcome data measured at the individual level of analysis is thus likely to produce inaccurate estimates. A solution to the measurement of nonindependent data involves the use of multilevel modeling to estimate variances at item, individual, and group levels of analysis. Examples from several different statistics programs are provided, and Monte Carlo simulations are used to evaluate the effects of group size and number of items on reliability estimates.