Sentence examples for an extraneous variable from inspiring English sources

Year was used as independent variable, angle as dependent variable and judge as an extraneous variable (covariate).

This is an extraneous variable which may have led variation in power profiles observed among participants which was not related to the exercise protocol.

With post-nonword point duration partialled out as an extraneous variable, the correlational nonword point effect for pre-nonword point duration increased to r = 0.55, P < 0.001 (Fig.  2), comparable with the behavioral results seen outside the scanner.

The possible effect of any extraneous variables such as temperature and turbidity (covariates) on the dependent variable is statistically controlled in the analysis of covariance.

An analysis of covariance (ANCOVA) was also conducted based on the samples to determine the effect of the independent variables on the dependent variables sub-index value of BOD (QBOD) and sub-index value of COD (QCOD) without the existence of any extraneous variables.

The mothers' fear of exposing their babies to HIV virus, which emerged as an important reason for discontinuing EBF before 12 weeks postnatal, might be a possible extraneous variable that influenced the relationship between PEBB and prenatal intended duration of EBF.

Nevertheless, we recognize that in a correlational study it is never possible to assess all extraneous variables that might be correlated with exposure and provide alternative explanations for observed effects.

The reported odds ratio was unusually high for this type of study, 5.5 (95% CI 1.9 15.8), even after adjusting for a number of relevant extraneous variables [ 59].

The presence of extraneous variables caused by the sample variability can significantly affect the statistical analysis of high-throughput genetic data.

It is important to notice that although the covariates are used as predictors for the item-response, it is still impossible to infer whether this association was distorted by an association between item responses and extraneous variables rather than the association between item responses and the latent trait.

The results of the multiple logistic regressions confirmed such a significant interaction between paternal smoking and HSR (as shown by model 1 in table 4) after adjusting for other extraneous variables, but such an interaction was not observed for maternal smoking and HSR (as shown in model 2 of table 4).