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The SAGE Dictionary of Quantitative Management Research
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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

 
Introduction
 
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
 
DS/AHP
 
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
 
Geodemographics
 
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
 
Validity
 
Variable Precision Rough Sets
 
Voronoi Diagrams
 
Web Surveys
 
Index

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.

Dr KELWYN DSOUZA
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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