1
Data analysis consisted of correlation, multiple linear regression, and structural equation modeling.
2
Heritability estimates for each liking pattern were obtained by structural equation modeling.
3
A structural equation model was used to examine the pathologic constitution.
4
A structural equation model was used to assess the IMB model.
5
An expected present-state effect was found in a structural equation model.
6
Heritability of changes in arterial wall properties was estimated using structural equation modelling.
7
We applied a multilevel structural equation model that accounted for unobserved familial risks.
8
The structural equation model was applied to test 12 hypotheses.
9
The data were analyzed under a threshold liability model with genetic structural equation modeling.
10
We identified latent unhealthy behavior factor via structural equation modeling.
11
A good fit structural equation modeling (SEM) model was developed for both sexes.
12
Data analysis was performed by correlation analysis, multiple linear regression analysis, and structural equation modeling.
13
Multiple structural equation models were used to test hypotheses.
14
Confirmatory factor analysis and structural equation models were applied.
15
The associations between the variables were tested in multi-group moderation models using structural equation modeling.
16
Confirmatory factor analysis, exploratory structural equation modeling, an expected parameter change and parallel analysis were used.
