等级间信度
多级模型
可靠性(半导体)
人气
心理学
结构方程建模
计量经济学
计算机科学
统计
应用心理学
数学
社会心理学
评定量表
量子力学
物理
功率(物理)
作者
James M. LeBreton,Jenell L. Senter
标识
DOI:10.1177/1094428106296642
摘要
The use of interrater reliability (IRR) and interrater agreement (IRA) indices has increased dramatically during the past 20 years. This popularity is, at least in part, because of the increased role of multilevel modeling techniques (e.g., hierarchical linear modeling and multilevel structural equation modeling) in organizational research. IRR and IRA indices are often used to justify aggregating lower-level data used in composition models. The purpose of the current article is to expose researchers to the various issues surrounding the use of IRR and IRA indices often used in conjunction with multilevel models. To achieve this goal, the authors adopt a question-and-answer format and provide a tutorial in the appendices illustrating how these indices may be computed using the SPSS software.
科研通智能强力驱动
Strongly Powered by AbleSci AI