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The SAGE Dictionary of Quantitative Management Research

The SAGE Dictionary of Quantitative Management Research

Edited by:

January 2011 | 344 pages | SAGE Publications Ltd
Electronic Inspection Copy available for instructors here

A must-have reference resource for quantitative management researchers, the Dictionary contains over 100 entries covering the fundamentals of quantitative methodologies; covering both analysis and implementation and examples of use, as well as detailed graphics to aid understanding.

Every entry features:

-An introduction to the topic,

-Key relevant features,

-A worked example,

-A concise summary and a selection of further reading suggestions

-Cross-references to associated concepts within the dictionary

A/B Split Testing
Analytic Hierarchy Process
Association and Causation in Quantitative Research
Association Rule Mining
Bass Model
Canonical Correlation
Chaos Theory
Classification and Ranking Belief Simplex
Clustering Algorithms
Cluster Analysis
Coding Conventions for Representing Information
Conceptual Equivalence
Confidence Intervals
Conjoint Analysis
Construct Operationalization Review (CORE)
Correlation Analysis
Correspondence Analysis
Cross-National/Cultural Comparisons
Cross-Sectional Designs
Data Envelopment Analysis in Management
Data Mining
Data Set Structure
Data Transformation
Dempster-Shafer Theory
Designing Experiments
Discriminant Analysis
Dominance Analysis
Dummy Variable Coding
Event Studies Methodology
Evaluation Research
Experimental Design
Exploratory or Confirmatory Factor Analysis
Factor Analysis
Fuzzy Decision Trees
Fuzzy Sets
Fuzzy Time Series Models
Generalized Linear Mixed Models
Generalized Linear Models
Geographical Information Systems
Growth Models
Intraclass Correlation Coefficient
Internal and External Validity
Item Response Theory
Item Response Theory for Management
Latent Segments Analysis
Latent Variable Models
Logical Discriminant Models
Logistic Growth Model
Logistic Regression
Logistic Spline Model
Measurement Reliability
Measurement Invariance in Multigroup Research
Measurement Scales
Moderator-Mediator Variable Distinction
Mixture Models
Multi-Attribute Utility/Value Theory
Multidimensional Scaling
Multilevel Models
Multi-Logistic Growth Model
Multinomial Logistic Regression
Multi-State Modelling
Non-Parametric Measures of Association
Optimal Control Models in Management
Ordinary Least-Squares Regression
Panel Design
Paper Versus Electronic Surveys
Parametric Tests
Partial Correlation
Principal Components Analysis
Programme Evaluation
PROMETHEE Method of Ranking Alternatives
Proportional Odds Model
Quantile Estimators
Quantile Estimators - Bootstrap Confidence Intervals
Rasch Model for Measurement
Receiver Operating Characteristic
Response Styles in Cross-National Research
Retail Site Selection
Sampling Equivalence in Cross-National Research
Sample Size for Proportions
Sample Sizes Versus Usable Observations
Self-Organizing Maps
Single-Case Research Designs
Single-Case Single-Baseline Designs
Sngle-Case Multiple-Baseline Designs
Simulation - Discrete Event
Simulation - Methodology
Structural Equation Modelling in Business Management
Structural Equation Modelling in Marketing - Part 1: Introduction and Basic Concepts
Structural Equation Modelling in Marketing - Part 2: Model Calibration
Structural Equation Modelling in Marketing - Part 3: An Example
Study Design
Survey Design
Tabu Search
Testing a Simple Hypothesis
Variable Precision Rough Sets
Voronoi Diagrams
Web Surveys

This book is a very good companion for students wishing to explore some of the quantitative aspects of research.

Dr Thomas Matheus
Newcastle Business School, Northumbria University
February 20, 2015

Students' research requirements (and subsequent knowledge demands) are not at the level of the content of the book.

Dr Beverly Pasian
Faculty of Economics and Management, Hogeschool Utrecht
August 20, 2012

A good text book and dictionary for Quantitative RM courses. It should be recommended to students in the syllabus.

Dr Tolga Kaya
Department Management Engineering, Istanbul Technical University (ITU)
May 2, 2012

It is an excellent reference book that provides an overview of research tools. I am purchasing this book for my personal use.

Management Dept, Hampton University
January 31, 2012

Very good overview of different methods, but missing deeper description of the methods.

Mr Harald Kitzmann
Business Administration , Tallinn University of Technology
October 4, 2011

It's useful for students who use quantitative methods.

Dr Hong Bui
Business School, Bournemouth University
March 29, 2011

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Luiz A M Moutinho

Luiz Moutinhois Foundation Chair of Marketing at the Department of Management, University of Glasgow More About Author

Graeme D Hutcheson

Graeme's teaching and research interests are broadly in the area of methodology and data analysis. His PhD was a study into the acquisition of complex syntax in children and since then he has worked on a number of projects from a wide range of research areas including the conversational behaviour of children, interviewing techniques used on child witnesses, alcohol use in the workplace, the application of knowledge-based expert systems, the application of generalized linear models in predictive modelling, multi-level analysis of data related to Inclusion and Pupil achievement, an assessment of the Early Support Project (DfES) and a project... More About Author

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