规则网络
心理学
比例(比率)
验证性因素分析
构造(python库)
社会心理学
结构效度
度量(数据仓库)
判别效度
测量不变性
数据收集
多级模型
测试有效性
外部有效性
应用心理学
增量有效性
结构方程建模
心理测量学
标准效度
测量数据收集
预测效度
多维标度
作者
John W. Michel,Michael J. Tews,Emily Pinsk,Sydney Pons
摘要
ABSTRACT To better understand how coworkers socialize for fun, this multistudy research builds on prior conceptualizations to develop and validate a more conceptually precise measure of coworker socializing for fun. We introduce the Multidimensional Coworker Socializing for Fun Scale (MCSFS), conceptualized as a higher‐order construct reflected in three first‐order dimensions—friendly conversations, playful interactions, and gathering socially. Drawing on data from eight diverse samples of employees from multiple industries (total N = 1535) and four phases of scale development, results provide evidence of content, convergent, and discriminant validity. Confirmatory factor analyses support the hierarchical structure of the measure. The MCSFS also demonstrates nomological validity via positive relationships with theoretically relevant relational, attitudinal, and well‐being outcomes, with dimension‐level analyses indicating meaningful differences across the three dimensions of coworker socializing for fun.
科研通智能强力驱动
Strongly Powered by AbleSci AI