检查管理辅导规模的预测有效性:一项纵向研究
Katie Stone1, Kim Nimon2, Andrea D Ellinger2
1Director of Student Wellness and Professional Formation, School of Medicine, The University of Texas at Tyler, Tyler, TX, United States.
Frontiers in psychology
|April 17, 2024
概括
管理教练的行为和员工的态度,如角色明确性和承诺,有相互关系. 随着时间的推移,员工的态度也会影响管理指导,影响领导力的有效性.
科学领域:
- 组织心理学 组织心理学
- 管理科学 管理科学
背景情况:
- 管理指导是改善工作场所成果的流行的干预措施.
- 之前的研究还没有确定管理指导与员工成果之间的关系的时间顺序.
研究的目的:
- 评估员工对主管/线路经理辅导行为测量 (CBI) 尺度的感知有效性.
- 检查管理指导,角色明确性,工作满意度和组织承诺之间的关系中的时间优先级.
主要方法:
- 一个纵向的,两波研究设计,包括313名全职美国员工.
- 测试了相互交叉滞后模型来分析变量之间的动态相互作用.
- 评估CBI尺度的纵向测量不变性.
主要成果:
- 在管理指导与角色明确性和组织承诺之间发现了统计学上显著的相互关系.
- 互惠关系对工作满意度也很重要.
- 员工的态度表明,随着时间的推移,员工态度对管理教练行为的影响很大.
结论:
- CBI尺度表现出对角色明确性和组织承诺的预测有效性.
- 管理层的指导和员工的态度表现出一种动态的,相互影响.
- 员工的态度在塑造管理指导的有效性和领导力方面发挥着至关重要的作用.
更多相关视频
07:01Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
Published on: September 20, 2020
4.7K
10:26Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
Published on: September 11, 2021
3.9K
相关概念视频
Longitudinal Research
12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
Reliability and Validity
12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.7K
Multiple Regression
3.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.0K
Longitudinal Studies
157
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
157
Self-Report Tests of Personality
343
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
343
Spearman's Rank Correlation Test
778
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates...
Spearman's test calculates...
778
