One of the reasons is that
the different covariates show collinearity.
The authors assess how
different covariates contribute to improving the statistical power of a randomization design and examine differences between math and reading tests; differences between test types (curriculum - referenced tests versus norm - referenced tests); and differences between elementary school and secondary school, to see if the test subject, test type, or grade level makes a large difference in the crucial design parameters.
From this baseline «geographic» model, I built three models to account for
the different covariates.
Not exact matches
Because of the fact that method of conception was significantly
different between the groups in the univariate analysis, we decided to include this
covariate in the multivariate analysis.
Odds ratios were adjusted for
covariates that were significantly
different between the groups in the univariate analysis.
The question of binge drinking patterns and mortality is far from solved, and there may be genetic differences or other
covariates not yet discovered, which play a role and could explain the
different empirical findings.»
We find that
different tissues have a
different response over the time elapsed since death, but that when appropriate
covariates are identified and taken into account, the impact of death on tissue transcriptomes can largely be controlled.
Differences in aggregation,
covariates, and samples generate
different answers to the question of whether black students are over - or under - identified for special education.
Adding these
covariates affects the strength of the correlations differently for
different groups.
Analyses indicated that the off - line venues in which respondents met their spouse also were associated with
different levels of marital satisfaction [F (9, 12,252) = 5.65, P < 0.001], and these differences remained significant when adjusting for year of marriage, sex, age, educational background, household income, ethnicity, religious affiliation, and employment status as
covariates [F (9, 11,466) = 3.87, P < 0.001].
To account for potential confounders associated with diabetes self - care, we conducted a logistic regression to determine whether the percentage of patients with HbA1c levels ≥ 8 % were
different between attachment style categories after adjusting for
covariates that were specifically
different between attachment groups, such as demographics, medical comorbidity, diabetes complications, diabetes knowledge, and depression.
Age, income, marital status, level of depression, number of medical conditions, and number of diabetes complications were significantly
different between groups and were included as
covariates in subsequent logistic regression.
Table 2 contains the GLM and logistic regressions assessing the contribution of the independent variables, CU levels, and the presence / absence of ODD on the children's psychological measures for the total sample (n = 622), adjusted by the
covariates family SES, children's ethnicity and sex, other comorbid disorder
different from ODD and the number of DSM - IV CD symptoms.
We also confirmed that the samples were not significantly
different from one another in terms of alcohol consumption (average drinks per week and drinking status), negative marital quality, or
covariates (i.e., age, education, years married, race, number of children, marital order, and alcohol problems) with a series of chi - square and t tests.