OLS estimates of the parameters of the fully recursive path model: Unstandardized regression coefficients (p-values for two-tailed t-tests are in parentheses).</p
Standardized coefficients, standard errors (S.E.s), t values, and p values for path model.</p
<p>Model fit and unstandardised path estimates (SE) for models from <a href="http://www.plosone.org/...
Linear multilevel regression model (MLM) unadjusted and adjusted model estimates.</p
<p>Indirect path coefficients are in parentheses. The residual variance components (error variances)...
<p>Path estimates and standard errors of the non-significant pathways from the final model.</p
<p>Path model C: Estimates of regression weight and standard regression weight.</p
<p><sup>a</sup>p-value< 0.01</p><p>Estimates of parameters in the linear regression models.</p
In this paper, we present first the recursive estimation of parameters of linear regression models a...
<p>Descriptive statistics and unstandardized regression coefficients for Study 2.</p
Path model: Direct effects, disturbance variances and equation-level goodness of fit.</p
Should P values associated with path coefifcients, as well as with other coefficients such as weight...
<p>Descriptive statistics and unstandardized regression coefficients for Study 1.</p
Numbers represent standardized regression coefficients. Dashed lines indicate a path is either stati...
Parameter estimates (standardized regression coefficients) for univariate conditional LCS models.</p
Results of the quantile and OLS regressions—the coefficients estimated on different quantiles.</p
Standardized coefficients, standard errors (S.E.s), t values, and p values for path model.</p
<p>Model fit and unstandardised path estimates (SE) for models from <a href="http://www.plosone.org/...
Linear multilevel regression model (MLM) unadjusted and adjusted model estimates.</p
<p>Indirect path coefficients are in parentheses. The residual variance components (error variances)...
<p>Path estimates and standard errors of the non-significant pathways from the final model.</p
<p>Path model C: Estimates of regression weight and standard regression weight.</p
<p><sup>a</sup>p-value< 0.01</p><p>Estimates of parameters in the linear regression models.</p
In this paper, we present first the recursive estimation of parameters of linear regression models a...
<p>Descriptive statistics and unstandardized regression coefficients for Study 2.</p
Path model: Direct effects, disturbance variances and equation-level goodness of fit.</p
Should P values associated with path coefifcients, as well as with other coefficients such as weight...
<p>Descriptive statistics and unstandardized regression coefficients for Study 1.</p
Numbers represent standardized regression coefficients. Dashed lines indicate a path is either stati...
Parameter estimates (standardized regression coefficients) for univariate conditional LCS models.</p
Results of the quantile and OLS regressions—the coefficients estimated on different quantiles.</p
Standardized coefficients, standard errors (S.E.s), t values, and p values for path model.</p
<p>Model fit and unstandardised path estimates (SE) for models from <a href="http://www.plosone.org/...
Linear multilevel regression model (MLM) unadjusted and adjusted model estimates.</p
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