<p>Age, gender, primary caregiver, and family location were included as covariates in this model, but are not shown in this figure. Dashed lines represent nonsignificant latent interaction paths at <i>p</i> < .05. Curved arrows among latent variables represent correlated errors. **<i>p</i> < .01, ***<i>p</i> < .001.</p
<p><i>Notes.</i><sup>a</sup> Coefficients for the time-invariant covariates are reported for the int...
Estimation methods for structural equation models with interactions of latent variables were compare...
<p>Plus/minus symbols at each arrow head show a positive/negative effect, and asterisks denote signi...
<p>‘Land use’ is a latent (i.e. unmeasured) variable influencing the management components. The path...
Abstract Latent interaction models have motivated a great deal of methodological research, mainly in...
<p>In the model above, the latent variables are represented by circles; the rectangles represent add...
<p>Covariates, variable variances and the covariance between the intercept and slope omitted for cla...
Little, Bovaird and Widaman (2006) proposed an unconstrained approach with residual centering for es...
This paper discusses the use of unmeasured variables in path models. Problems of estima-tion of the ...
Path labels are standardised coefficients. Single-arrow lines represent regression paths, and double...
<p>Dotted paths are non-significant (95% CIs in brackets). Note. Covariates (age, sex, height, weigh...
Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces...
<p>Best-fitting structural equation model showing the interrelationships between independent variabl...
(A) Dotted line indicates the path was not significant at P = 0.05, N = 3518, ***P< 0.001. (B)Contro...
(A) Dotted line indicates the path was not significant at P = 0.05, N = 3518, ***P< 0.001. (B)Contro...
<p><i>Notes.</i><sup>a</sup> Coefficients for the time-invariant covariates are reported for the int...
Estimation methods for structural equation models with interactions of latent variables were compare...
<p>Plus/minus symbols at each arrow head show a positive/negative effect, and asterisks denote signi...
<p>‘Land use’ is a latent (i.e. unmeasured) variable influencing the management components. The path...
Abstract Latent interaction models have motivated a great deal of methodological research, mainly in...
<p>In the model above, the latent variables are represented by circles; the rectangles represent add...
<p>Covariates, variable variances and the covariance between the intercept and slope omitted for cla...
Little, Bovaird and Widaman (2006) proposed an unconstrained approach with residual centering for es...
This paper discusses the use of unmeasured variables in path models. Problems of estima-tion of the ...
Path labels are standardised coefficients. Single-arrow lines represent regression paths, and double...
<p>Dotted paths are non-significant (95% CIs in brackets). Note. Covariates (age, sex, height, weigh...
Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces...
<p>Best-fitting structural equation model showing the interrelationships between independent variabl...
(A) Dotted line indicates the path was not significant at P = 0.05, N = 3518, ***P< 0.001. (B)Contro...
(A) Dotted line indicates the path was not significant at P = 0.05, N = 3518, ***P< 0.001. (B)Contro...
<p><i>Notes.</i><sup>a</sup> Coefficients for the time-invariant covariates are reported for the int...
Estimation methods for structural equation models with interactions of latent variables were compare...
<p>Plus/minus symbols at each arrow head show a positive/negative effect, and asterisks denote signi...