Sentence examples for multilevel variables are from inspiring English sources

We obtained our results using a hierarchical linear model (HLM) since multilevel variables are included in the analysis.

To increase statistical power and simplify interpretations, multilevel categorical variables were collapsed into binary ones.

Multilevel indicator variables were first tested for global significance, and if found significant, individual levels were tested against the reference group for significance.

For balance diagnostics in the PSM model, absolute standardized difference 20 was used to compare the mean of continuous and binary variables between treatment groups (multilevel categorical variables were represented using a set of binary indicator variables).

To test whether the effects of the woman's social position variables are robust, multilevel logistic regressions were run with opposition to FGM as the dependent variable.

In several areas of personality research (e.g., personal networks, interpersonal behaviour, academic effort), the empirical data represent a multilevel structure, in which within-person variables are nested within individuals.

The regional level variables are included by multilevel analyses.

For the modeling, we first used a set of multilevel regression analyses to identify which variables are associated with the use and costs of health and social care.

Further details of the multilevel model used to derive these variables are described by Fraser et al. (8) and can be found in the Web Appendix, Web Table 1, and Web Figures 1 and 2 available at http://aje.oxfordjournals.org/.org/

We selected all the multilevel variables that were significant in the multivariate logistic regression and used the linear-by-linear association chi square test to evaluate each factor's linear trend.

When a multilevel categorical variable was found to be significant, tests were conducted to determine whether some levels could be combined.