TY - GEN
T1 - Can psychometric measurement models inform behavior genetic models? A bayesian model comparison approach
AU - Wang, Ting
AU - Wood, Phillip K.
AU - Heath, Andrew C.
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - As methodologists have increasingly noted, the role of psychometrics in operationalizing a construct is often overlooked when evaluating research claims (Borsboom 2006). In a related vein, others have noted that psychological research appears to move away from assessment and interpretation of a single a priori statistical model to a more nuanced comparison of models which assess the trade-off between a model’s parsimony and complexity in explaining behavior (e.g., Rodgers 2010). The genetic factor model is one such statistical model often used to estimate the relative contributions of genetic and environmental components of observed behavior in genetically informative designs (Heath, Neale, Hewitt, Eaves, & Fulker 1989; Martin & Eaves 1977; Neale & Cardon 1992). Mathematically, the genetic factor model decomposes observed phenotypic variability into additive genetic (A), common (C), and unique (E) environmental components and is, for that reason, often referred to as the ACE model.
AB - As methodologists have increasingly noted, the role of psychometrics in operationalizing a construct is often overlooked when evaluating research claims (Borsboom 2006). In a related vein, others have noted that psychological research appears to move away from assessment and interpretation of a single a priori statistical model to a more nuanced comparison of models which assess the trade-off between a model’s parsimony and complexity in explaining behavior (e.g., Rodgers 2010). The genetic factor model is one such statistical model often used to estimate the relative contributions of genetic and environmental components of observed behavior in genetically informative designs (Heath, Neale, Hewitt, Eaves, & Fulker 1989; Martin & Eaves 1977; Neale & Cardon 1992). Mathematically, the genetic factor model decomposes observed phenotypic variability into additive genetic (A), common (C), and unique (E) environmental components and is, for that reason, often referred to as the ACE model.
UR - http://www.scopus.com/inward/record.url?scp=84966728664&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-20585-4_10
DO - 10.1007/978-3-319-20585-4_10
M3 - Conference contribution
AN - SCOPUS:84966728664
SN - 9783319205847
T3 - Springer Proceedings in Mathematics and Statistics
SP - 231
EP - 259
BT - Dependent Data in Social Sciences Research
A2 - Wiedermann, Wolfgang
A2 - von Eye, Alexander
A2 - Stemmler, Mark
PB - Springer New York LLC
T2 - International Conference on Dependent Data in Social Sciences Research Forms, Issues, and Methods of Analysis, 2013
Y2 - 6 December 2013 through 7 December 2013
ER -