Detailed Table of Contents
Below is a detailed table of contents of Theory Construction and Model Building Skills. The book is available in hardcover, paperback, and as an e-book. It is part of the Guilford series on Methodology in the Social Sciences.
Statistical Programs
Statistical Primers
Interfaces with SPSS, Excel, Ascii, SAS and STATA Formats

PART 1. BASIC CONCEPTS
1 • Introduction
Organization of the Book
Theories and Settings
2 • The Nature of Understanding
The Nature of Reality
Concepts: The Building Blocks of Understanding
Conceptual Systems: The Bases for Deeper Understanding
Communication
Summary and Concluding Comments
3 • Science as an Approach to Understanding
Socially Based Approaches to Understanding
The Essentials of Scientific Endeavor
Science and Objectivity
The Process of Theory Construction
Characteristics of a Good Theory
What is a Theoretical Contribution?
Summary and Concluding Comments
PART II. CORE PROCESSES
4 • Creativity and the Generation of Ideas
One Small Step for Science
Creativity
Choosing What to Theorize About
Literature Reviews
Heuristics for Generating Ideas
Scientists on Scientific Theorizing
Conceptual Logic Models
Summary and Concluding Comments
5 • Focusing Concepts
The Process of Instantiation
Shared Meaning, Surplus Meaning, and Nomological Networks
Practical Strategies for Specifying Conceptual Definitions
Multidimensional Constructs
Creating Constructs
An Example of Specifying Conceptual Definitions
Operationism
Summary and Concluding Comments
6 • Thought Experiments and Variable Relationships
Thought Experiments for Relationships in Grounded and Emergent Theory
Describing Relationships with Different Types of Variables
Thought Experiments for Relationships between Nominal Variables
Thought Experiments for Relationships between Quantitative Variables
Thought Experiments for Relationships between Nominal and Quantitative Variables
Thought Experiments for Moderated Relationships
Broader Uses of Hypothetical Factorial Designs in Thought Experiments
Summary and Concluding Comments
Appendix 6A. Thought Experiments for a Quantitative Cause and Nominal Effect with Three Levels
PART III. APPROACHES TO THEORY CONSTRUCTION
7 • Causal Models
Two Types of Relationships: Predictive and Causal
Causality and Grounded/Emergent Theory
Types of Causal Relationships
Constructing Theories with Causal Relationships
Identifying Outcome Variables
Identifying Direct Causes
Indirect Causal Relationships
Moderated Causal Relationships
Reciprocal or Bidirectional Causality
Spurious Relationships
Unanalyzed Relationships
Expanding the Theory Further
The Binder Method
Common Mistakes during Causal Theory Construction
Perspectives on the Construction of Causal Theories
Summary and Concluding Comments
8 • Mathematical Modeling
Types of Variables: Categorical, Discrete, and Continuous
Axioms and Theorems
Functions
Linear Functions
Deterministic versus Stochastic Models
Model Parameters
Rates and Change: Derivatives and Differentiation
Describing Accumulation: Integrals and Integration
Just-Identified, Overidentified, and Underidentified Models
Metrics
Types of Nonlinearity
Functions for Categorical Variables
Advanced Topics: Manipulating and Combining Functions
Multiple Variable Functions
Phases in Building a Mathematical Model
An Example Using Performance, Ability, and Motivation
An Example Using Attitude Change
Chaos Theory
Catastrophe Theory
Additional Examples of Mathematical Models in the Social Sciences
Emergent Theory Construction and Mathematical Models
Summary and Concluding Comments
Appendix 8A. SPSS Code for Exploring Distribution Properties
Appendix 8B. Additional Modeling Issues for the Performance, Motivation,and Ability Example
9 • Simulation as a Theory Development Method
Defining Simulations
The Uses of Research Simulations
The Difference between Simulations and Laboratory Experiments
Basic Simulation Varieties
The Analysis of Criterion Systems as a Basis for Theory Construction
Simulations and Virtual Experiments
Agent-Based Modeling
Resources for Conducting Simulations
Summary and Concluding Comments
10 • Emergent Theory: Qualitative/Mixed Method Approaches
Grounded and Emergent Theory: An Overview
Qualitative Research and Ways of Knowing
Framing the Problem
The Role of Past Literature
Collecting Qualitative Data
Field Notes and Memo Writing
Theoretical Sampling
Analyzing and Coding Data
Constructing Theory in Qualitative Research
Mixed Methods Research
Products of Qualitative and Mixed Methods Research
Summary and Concluding Comments
Appendix 10A. The Limits of Information Processing
11 • Emergent Theory: Quantitative Approaches
Exploratory Analysis of Direct Effects
Exploratory Moderated Relationships
Cluster Analysis
Factor Analysis
Big Data, Data Mining, and Machine Learning
Chance Results
Summary and Concluding Comments
12 • Historically Influential Systems of Thought
Grand Theories
Frameworks Using Metaphors
Frameworks Emphasizing Stability and Change
Psychological Frameworks
Frameworks Inspired by Methodology
Summary and Concluding Comments
PART IV. THEORY AT THE LEVEL OF MEASUREMENT
13 • Theory and Measurement: General Frameworks
Defining Measurement
Conceptual Definitions and Measurement
The Importance of Concept Mapping
Classic Test Theory: The Basics
The Facets of Measurement and Theory Construction
Measurement Theory Construction
Emergent Theory Building in Measurement: Cognitive Testing, Expert Interviews and Pilot Research
Using Extant Measures
Other Criteria in Measure Evaluation
Classical Test Theory and Qualitative Research
Writing Reports to Justify Measurement Choices
Empirical Tests of Measurement Theory
Summary and Concluding Comments
14 • Theory and Measurement: Self-Reports, Observer Reports, and Objective Measures
Constructing a Theory of Self Reports
Constructing a Theory of Observer Reports
Constructing a Theory of ‘Objective’ Measures
The Importance of Theory Construction Orientations to Measurement
Measurement and Qualitative Research
Summary and Concluding Comments
PART V. CONCLUDING ISSUES
15 • Theory Revision
Disconfirmation and Theory Revision
Boundary Conditions and Theory Revision
Replication and Theory Revision
Disconfirmation and Qualitative Research
Bayesian Perspectives on Theory Revision
A Look to the Future: Computer Automation and Theory Revision
Theoretical Desiderata for Revised Theories
Paradigm Shifts
Summary and Concluding Comments
16 • Reading and Writing about Theories
Reading about Theories
Writing about Theories
Grant Proposals, Technical Reports, and Presentations
Summary and Concluding Comments
Appendix 16A. Inferring Theoretical Relationships from the Choice of Statistical Tests
17 • Epilogue
A Program of Self-Study
Concluding Comments