• Summary
  • Contents
  • Subject index

A must-have reference resource for qualitative management researchers, this dictionary contains over 90 entries covering the fundamentals of qualitative methodologies; covering both analysis and implementation. Each entry gives an introduction to the topic, lists the key relevant features, gives a worked example, a concise summary and a selection of further reading suggestions. It is suitable for researchers and academics who need a handy and quick point of reference.

Structural Equation Modelling in Business Management
Structural equation modelling in business management
Introduction

Structural equation modelling (SEM) is a popular method of analysis that allows for examining various models which could explain data structures (Byrne, 2001) and relationships in management and organizational behaviour. It is an analytical method that improves and supersedes other methods such as multiple and multivariate regression, or recursive path analysis (Holmes-Smith, 2000) in management research. SEM can make a distinction between latent and observed variables, can estimate the nature of measurement error associated with the observed variables, and permits unequal weightings for the multiple indicators of a latent construct (Holmes-Smith, 2000) in a management model. Moreover, SEM can examine more than one relationship within the model at a time (Hair et al., 2003): i.e. ...

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