James Grace, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 187
A 'weight of evidence' approach to evaluating structural equation models A 'weight of evidence' approach to evaluating structural equation models
It is possible that model selection has been the most researched and most discussed topic in the history of both statistics and structural equation modeling (SEM). The reason for this is because selecting one model for interpretive use from amongst many possible models is both essential and difficult. The published protocols and advice for model evaluation and selection in SEM studies...
Authors
James Grace
Structural equation modeling Structural equation modeling
This chapter introduces background and historical information on how structural equation modeling (SEM) came to be developed. Then, the main differences between SEM and earlier multivariate methods are explained. The chapter describes three main applications of SEM: path analysis, factor analysis, and hybrid models. Some computer programs are recommended for these applications. The step...
Authors
Matt Miller, Ivana Tasic, Torrey Lyons, Reid Ewing, James B. Grace
Conceptual frameworks Conceptual frameworks
The chapter starts by addressing some of the issues that come from not using a conceptual framework. This point is illustrated using an example with causal factors. The chapter then goes on to explain the mechanics of establishing conceptual frameworks. Lastly, it lays out a step-by-step guide on how to create a framework—generating a set of concepts, specifying the relations between...
Authors
Keunhyun Park, James B. Grace, Reid Ewing
Scientist’s guide to developing explanatory statistical models using causal analysis principles Scientist’s guide to developing explanatory statistical models using causal analysis principles
Recent discussions of model selection and multimodel inference highlight a general challenge for researchers, which is how to clearly convey the explanatory content of a hypothesized model or set of competing models. The advice from statisticians for scientists employing multimodel inference is to develop a well‐thought‐out set of candidate models for comparison, though precise...
Authors
James B. Grace, Kathryn Irvine
The importance of natural versus human factors for ecological conditions of streams and rivers The importance of natural versus human factors for ecological conditions of streams and rivers
Streams are influenced by watershed-scale factors, such as climate, geology, topography, hydrology, and soils, which mostly vary naturally among sites, as well as human factors, agriculture and urban development. Thus, natural factors could complicate assessment of human disturbance. In the present study, we use structural equation modeling and data from the 2008-2009 United States...
Authors
Tao Tang, R. Jan Stevenson, James Grace
Climatic controls on the distribution of foundation plant species in coastal wetlands of the conterminous United States: Knowledge gaps and emerging research needs Climatic controls on the distribution of foundation plant species in coastal wetlands of the conterminous United States: Knowledge gaps and emerging research needs
Foundation plant species play a critical role in coastal wetlands, often modifying abiotic conditions that are too stressful for most organisms and providing the primary habitat features that support entire ecological communities. Here, we consider the influence of climatic drivers on the distribution of foundation plant species within coastal wetlands of the conterminous USA. Using...
Authors
Michael Osland, James B. Grace, Glenn Guntenspergen, Karen Thorne, Joel Carr, Laura Feher
Science and Products
Filter Total Items: 187
A 'weight of evidence' approach to evaluating structural equation models A 'weight of evidence' approach to evaluating structural equation models
It is possible that model selection has been the most researched and most discussed topic in the history of both statistics and structural equation modeling (SEM). The reason for this is because selecting one model for interpretive use from amongst many possible models is both essential and difficult. The published protocols and advice for model evaluation and selection in SEM studies...
Authors
James Grace
Structural equation modeling Structural equation modeling
This chapter introduces background and historical information on how structural equation modeling (SEM) came to be developed. Then, the main differences between SEM and earlier multivariate methods are explained. The chapter describes three main applications of SEM: path analysis, factor analysis, and hybrid models. Some computer programs are recommended for these applications. The step...
Authors
Matt Miller, Ivana Tasic, Torrey Lyons, Reid Ewing, James B. Grace
Conceptual frameworks Conceptual frameworks
The chapter starts by addressing some of the issues that come from not using a conceptual framework. This point is illustrated using an example with causal factors. The chapter then goes on to explain the mechanics of establishing conceptual frameworks. Lastly, it lays out a step-by-step guide on how to create a framework—generating a set of concepts, specifying the relations between...
Authors
Keunhyun Park, James B. Grace, Reid Ewing
Scientist’s guide to developing explanatory statistical models using causal analysis principles Scientist’s guide to developing explanatory statistical models using causal analysis principles
Recent discussions of model selection and multimodel inference highlight a general challenge for researchers, which is how to clearly convey the explanatory content of a hypothesized model or set of competing models. The advice from statisticians for scientists employing multimodel inference is to develop a well‐thought‐out set of candidate models for comparison, though precise...
Authors
James B. Grace, Kathryn Irvine
The importance of natural versus human factors for ecological conditions of streams and rivers The importance of natural versus human factors for ecological conditions of streams and rivers
Streams are influenced by watershed-scale factors, such as climate, geology, topography, hydrology, and soils, which mostly vary naturally among sites, as well as human factors, agriculture and urban development. Thus, natural factors could complicate assessment of human disturbance. In the present study, we use structural equation modeling and data from the 2008-2009 United States...
Authors
Tao Tang, R. Jan Stevenson, James Grace
Climatic controls on the distribution of foundation plant species in coastal wetlands of the conterminous United States: Knowledge gaps and emerging research needs Climatic controls on the distribution of foundation plant species in coastal wetlands of the conterminous United States: Knowledge gaps and emerging research needs
Foundation plant species play a critical role in coastal wetlands, often modifying abiotic conditions that are too stressful for most organisms and providing the primary habitat features that support entire ecological communities. Here, we consider the influence of climatic drivers on the distribution of foundation plant species within coastal wetlands of the conterminous USA. Using...
Authors
Michael Osland, James B. Grace, Glenn Guntenspergen, Karen Thorne, Joel Carr, Laura Feher