Application of Bayesian structural equation modeling for examining phytoplankton dynamics in the Neuse River Estuary (North Carolina, USA)

2007 ◽  
Vol 72 (1-2) ◽  
pp. 63-80 ◽  
Author(s):  
G.B. Arhonditsis ◽  
H.W. Paerl ◽  
L.M. Valdes-Weaver ◽  
C.A. Stow ◽  
L.J. Steinberg ◽  
...  
Keyword(s):  
North Carolina ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
River Estuary ◽  
Neuse River Estuary ◽  
Equation Modeling ◽  
Phytoplankton Dynamics ◽  
Neuse River ◽  
Bayesian Structural Equation Modeling

Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interoceptive Awareness ◽  
Multidimensional Assessment ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Complex Models ◽  
Approximate Zero ◽  
Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

Continuous resistivity profiling data from the upper Neuse River Estuary, North Carolina, 2004-2005

2006 ◽  
Author(s):  
VeeAnn A. Cross ◽  
John F. Bratton ◽  
Emile M. Bergeron ◽  
Jeff K. Meunier ◽  
John Crusius ◽  
...  
Keyword(s):  
North Carolina ◽  
River Estuary ◽  
Neuse River Estuary ◽  
Neuse River ◽  
Resistivity Profiling

Denitrification rates measured along a salinity gradient in the eutrophic Neuse River estuary, North Carolina, USA

Estuaries ◽  
2005 ◽  
Vol 28 (4) ◽  
pp. 608-619 ◽  
Author(s):  
John M. Fear ◽  
Suzanne P. Thompson ◽  
Thomas E. Gallo ◽  
Hans W. Paerl
Keyword(s):  
North Carolina ◽  
Salinity Gradient ◽  
River Estuary ◽  
Neuse River Estuary ◽  
Neuse River

scholarly journals Tonic immobility is a measure of boldness toward predators: an application of Bayesian structural equation modeling

2012 ◽  
Vol 23 (3) ◽  
pp. 619-626 ◽  
Author(s):  
Pim Edelaar ◽  
David Serrano ◽  
Martina Carrete ◽  
Julio Blas ◽  
Jaime Potti ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Tonic Immobility ◽  
Equation Modeling ◽  
Bayesian Structural Equation Modeling
Sign in / Sign up

Export Citation Format

Share Document