12 research outputs found
Hierarchical Regression Model Analyses for the Indirect Effect of Activities of Daily Living on Depression and Health-Related Quality of Life.
<p><i>Notes.</i></p><p>* <i>p</i><.05;</p><p>**<i>p</i><.001.</p><p><i>R</i><sup>2</sup> = <i>R</i> Square; β = Standardised beta coefficient; <i>B</i> = Unstandardised B coefficient; Part Correlation = Unique variance of each predictor;</p>a<p> = Dependent variable is activities of daily living;</p>b<p> = Dependent variable is health-related quality of life.</p
Descriptive statistics and correlations between study variables.
<p><i>Notes.</i></p><p>*<i>p</i><.05.</p><p>**<i>p</i><.01.</p><p><i>SD</i> = Standard deviation.</p
Plots of VWM Performance by Motor Symptom Severity.
<p>Plots of VWM Performance by Motor Symptom Severity.</p
Sample Characteristics per Subtype at Time 1.
<p>Sample Characteristics per Subtype at Time 1.</p
Plots of SWM Performance by Motor Symptom Severity.
<p>Plots of SWM Performance by Motor Symptom Severity.</p
Estimates and Bias-Corrected Confidence Intervals for Models 1 and 2.
<p>Estimates and Bias-Corrected Confidence Intervals for Models 1 and 2.</p
Bivariate Associations Between Study Variables (N = 114).
<p>Bivariate Associations Between Study Variables (N = 114).</p
Means, standard deviations and standardised factor loadings for PDSS-R data.
<p>Means, standard deviations and standardised factor loadings for PDSS-R data.</p
Model fit indices for the 1 factor CFA, the 3 factor CFA and the confirmatory bifactor model.
<p>Model fit indices for the 1 factor CFA, the 3 factor CFA and the confirmatory bifactor model.</p