Sentence examples for binary variables were considered from inspiring English sources

In this problem 4 binary variables were considered; w1, w2, w3 and w4.

Using binary logistic regression, six socio-economic variables were considered as independent variables to capture the status of the under-five mothers.

All background variables were considered for the binary logistic regression since all were statistically significant (p < 0.05).

Thus, the selected binary dependent variables are considered effective to gauge the impact of diversity on innovation.

Two kinds of processes, deterministic systems (discrete dynamical systems) and the sequences of random binary independent variables, are considered.

In the binary regressions the selected variables are considered plausible to be linked with the dimension analysed.

The following binary variables were also considered: current/previous smokers vs never smokers; women who had ever been pregnant vs never pregnant; women who had ever used hormone replacement therapy vs those who had not; women who had previously taken an oral contraceptive vs those who had not; women who had ever taken tamoxifen as part of a prevention trial vs those who had not.

Binary variables were compared by χ test.

An effect size for two binary variables of.10 to.20 is considered a weak association (Rea & Parker, 1992).

An effect size for two binary variables of.20 to.40 is considered a moderate association (Rea & Parker, 1992).

Whenever binary variables can be considered as dichotomisations of a continuous latent trait (whose distribution could be transformed to a standard normal), the correlation between them can be quantified by a tetrachoric correlation coefficient (interpreted like a Pearson correlation coefficient for the latent continuous variable).