Sentence examples for bivariate logistic regression Students from inspiring English sources

This scale was recoded into a dichotomous variable for use in bivariate logistic regression: Students who were somewhat likely or very likely to choose a STEM career were coded as "1," and those who were somewhat unlikely or very unlikely to choose a STEM career were coded as "0".

Table 11 Bivariate logistic regression of the correlation between career interests and students being very likely to pursue a STEM career Career interests listed in top 2 favorites B Wald χ2 (df = 1) Sig.

Table 12 Bivariate logistic regression of the influence of career activity preferences on students being very likely to pursue a STEM career Career activity listed in top 2 favorites B Wald χ2 (df = 1) Sig.

Table 10 Bivariate logistic regression of the correlations between grade level, STEM knowledge score and mathematics self-efficacy by students' likelihood to pursue a STEM career   B Wald χ2 Sig.

Bivariate logistic regression was conducted to explore the relative contribution of the following factors on the likelihood that students would choose a STEM career: SCK score, MSE score, grade level, career interests, and career activities.

We model the distribution of this bivariate binary endpoint using either Gumbel bivariate logistic regression or Cox bivariate binary model.

Results: In bivariate logistic regression analysis, all variables were significant predictors.

Odds ratios were calculated using weighted bivariate logistic regression.

Bivariate associations were determined using Wald test for bivariate logistic regression.

Subsequently, bivariate logistic regression was performed.

First a bivariate logistic regression was performed.