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 



Theory Construction and Model Building Skills