The Hierarchical linear models are really helpful when there is a hierarchy or nested structure in the data. In my experience I have used it in the Marketing Analytics projects.

A data structure is a specialized format for organizing, processing, retrieving and storing data. There are several basic and advanced types of data structures, all designed to arrange data to suit a ...

Yet, when the hierarchical structure of the data is not recognized and ordinary least squares methods (e.g., ANOVAs, linear regressions) are performed on non-independent data, researchers draw ...

A Hierarchical Organizational Structure. Unless a business is staffed only by equal partners, more than one person means that there are managers and subordinates.

In this example, the ASPxDiagram control transforms a linear data structure to a tree-like diagram. The NodeDataSourceID property specifies a bound data source. To transform a linear data structure to ...

Functional Hierarchical Organization Structure. The "Functional-Hierarchic" organization is commonly called the "Matrix" organization. ... while not affecting the linear and strict chain of command.

Quite often we come across data which is large in size such as the identification numbers of employees working in a multinational firm or climate records of a place over a period of time or the memory ...

Faced with a large set of data, computers don't know where to begin -- unless they're programmed to look for a specific structure, such as a hierarchy, linear order, or a set of clusters.