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The first set contained models with local factors (crop type, height and status, insect abundance, and diversity), while the second set contained models with factors representing landscape characteristics only (Table 1).
For example, the diagnosis for all fishermen was variceal bleeding, and fitting even just bivariable models with factors such as age and portal vein diameter resulted in hugely inflated odds ratios.
Most models were mixed models with factors such as age, gender, socioeconomic status (SES), use of an electronic medical record (EMR), and practice participation in primary care reform initiatives considered as fixed effects.
To test whether a difference of treatment efficacy existed between 2 groups, 2-factor ANOVA mixed models with factors of group (control group, massage group) and time (the initial data and follow up data at 4 weeks) were performed on each of the outcomes.
The main aim of the RN4CAST-study is to expand and refine typical forecasting models with factors that take into account how features of work environments and qualifications of the nurse workforce impact on nurse retention, burnout among nurses and patient outcomes.
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We also show how our results extend to empirically interesting dynamic versions of the model with both lagged observed outcomes, lagged indicators, and models with factor loads.
EFA results produced one-factor models, with factor loading >0.50 for all items that measured universalism and benevolent values, moral norms, subjective norms, attitudes towards patronizing retail apparel brands engaged in CSR and patronage intentions.
p values are from ANOVA models with factor treatment for continuous variables and chi-square test for categorical variables.
p values are from ANCOVA models with factor treatment and covariate baseline score for continuous variables and chi-square test for categorical variables.
PALI = paliperidone ER; RIS = risperidone; BMI = body mass index; PANSS = Positive and Negative Syndrome Scale CGI-SS = Clinical Global Impressions Severity. p values are from ANOVA models with factor treatment for continuous variables and chi-square test for categorical variables.
To examine the unidimensionality of the item pool, we tested confirmatory, single and bifactor models with factor analysis methods suitable for ordinal data, namely analysis of polychoric correlation matrices using a diagonally weighted least squares estimator [ 4, 37, 38].
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