To have multiple case study exploration among Malaysia restaurants that study the impact of servant leadership, what are the best statistical approaches for the case studies?
Here are some common statistical approaches for studying servant leadership
1. Servant Leadership Questionnaire (SLQ) is a widely used instrument to measure servant leadership. It includes items that assess various dimensions of servant leadership, such as empathy, empowerment, and accountability.
2. Servant Leadership Scale (SLS) assesses servant leadership behaviors through statements that respondents rate based on their perception of their leader's behavior.
3. Exploratory Factor Analysis (EFA) can be used to identify underlying factors or dimensions within a set of survey items. This helps researchers understand the structure of servant leadership and how different behaviors cluster together.
4. Confirmatory Factor Analysis (CFA) is used to validate the factor structure identified through EFA. It confirms whether the proposed factor structure fits the data collected from the survey.
5. Researchers may use multiple regression to explore the relationships between servant leadership and various organizational outcomes, such as employee satisfaction, commitment, and performance.
6. Path Analysis and Structural Equation Modeling (SEM) is a technique helps examine the direct and indirect relationships between variables. It can be used to explore the impact of servant leadership on various organizational outcomes while considering mediating variables.
7. Structural Equation Modeling (SEM) is an advanced statistical method that combines factor analysis and multiple regression. It can be used to test complex models and relationships between latent variables, making it suitable for studying servant leadership's impact on organizational outcomes.
8. Studying servant leadership over time allows researchers to explore changes and trends in servant leadership behaviors and their effects on organizational outcomes.
9. Researchers can conduct a meta-analysis by combining results from multiple studies. This approach provides a more comprehensive understanding of the overall impact of servant leadership on various outcomes.
These statistical approaches enable researchers and organizations to quantitatively assess and understand the impact of servant leadership on various organizational and individual outcomes. They provide valuable insights into the effectiveness of servant leadership practices in different contexts.