hierarchical regression analysis for relationship between job stress and job burnout in shanghai employees 职业应激对工作疲竭感影响的层次回归分析
An ffds " design about 6 system variables was conducted with 128 subjects in the second experiment . result was examined using hierarchical regression 该实验使用部分因子设计的实验设计方法,通过分层回归检验了六个系统变量及其二阶交互作用对目击辨认表现的影响。
Data were analyzed by hierarchical regression and the results showed hypothesis1 only received little support; however, hypothesis 2 was supported 所有资料经阶层回归分析之后,发现研究假设一仅在对自我批评、自责获得部分的支持;研究假设二则是获得完全的支持。
hierarchical regression indicated that the job-character was a powerful predictor of job burnout beyond demographic variables, 20.7 % variance of emotional exhaustion, 20.1 % variance of cynicism, and 7.2 % variance of professional efficacy were explained by job-character 分层回归分析的结果显示,在控制了人口统计学变量之后,工作特征所解释的方差变异量,在情绪衰竭、玩世不恭和职业效能三个维度分别增加了20.7%、20.1%和7.2%。
By using hierarchical regression analyses, the result showed in-basket had good incremental validity over cognitive test . combined in-basket test with cognitive test, we found the total r2 would be become larger . using content analysis and cluster analysis, we found there were three types of cognitive process strategies among assessees 本研究从认知思维、信息特征、文件处理行为三个方面对公文筐测验结果进行了内容分析,并利用聚类分析方法对内容分析结果进行归类,结果发现管理者在公文筐测验中有三种认知加工策略,其中更多管理者采用混合式认知加工策略。