Graphical Modeling
Graphical modeling uses graphs, which present the different ways the variables in a model depend on each other, to represent and visualize the model. The model’s variables can be simply associated or be connected through causal relationships. The resulting displays rely on probability and graph theory, graph algorithms and machine learning; as such, they connect concepts from statistics and computer science.
A wide range of different types of graphical models and methods have been developed in a variety of areas including, but not limited to, medical diagnosis, image understanding, speech recognition, and natural language processing. The use of graphical models can also enable understanding of social and technical features of organizations and structures. In education, such systems may extend from the classroom unit to the ...
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Reader's Guide
Assessment
Cognitive and Affective Variables
Data Visualization Methods
Disabilities and Disorders
Distributions
Educational Policies
Evaluation Concepts
Evaluation Designs
Human Development
Instrument Development
Organizations and Government Agencies
Professional Issues
Publishing
Qualitative Research
Research Concepts
Research Designs
Research Methods
Research Tools
Social and Ethical Issues
Social Network Analysis
Statistics
Teaching and Learning
Theories and Conceptual Frameworks
Threats to Research Validity
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Research Methods
