Through Hierarchical Linear Model (HLM), the results revealed: individual-level transformational leadership and branch-level transformational leadership can significantly improve employee service ...

To fit a hierarchical or multilevel model in Stan, you need to compile the Stan code, provide the data, and run the MCMC algorithm. You can use the Stan interface of your choice, such as RStan ...

Learn what multilevel modeling is, how it can help you analyze nested and hierarchical R&D data, and what tools and steps you need to apply it. Agree & Join LinkedIn ...

The project follows a structured approach to multilevel modeling, including: Data Loading and Exploration: Import necessary libraries, load the dataset, examine the data structure, and generate ...

A time series multilevel model is developed to produce monthly unemployment figures at a provincial level and quarterly figures at a municipal level. The model is formulated in an hierarchical ...

ABSTRACT: Multilevel CFA models (MLV CFA) modeling permits more sophisticated construct validity research by examining relationships among factor structures, factor loadings, and errors at different ...

Multilevel model of transformational ... This study aims to discuss the impact of transformational leadership on employee service quality in terms of individual perspective and branch perspective ...