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 ...

Linear Data Structures are a type of data structure in computer science where data elements are arranged sequentially or linearly. Each element has a previous and next adjacent, except for the first ...

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 ...

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.

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 ...