Sentence examples for controlling for difficulty from inspiring English sources
Finally, a variable controlling for difficulty in accessing sports facilities was added to the logistic regression.
After controlling for difficulty accessing syringes, the coefficient for MA injection lost significance and decreased in magnitude (c′ = 0.40, AOR = 1.49, P = 0.067), indicating partial mediation.
We therefore report the extent to which the association between food insecurity and glycemic control was attenuated after controlling for difficulty following a diabetic diet, diabetes-specific self-efficacy, and emotional distress related to diabetes.
In ANCOVA, we found that, after controlling for difficulty with studies and social relations, the previously noted age group differences in QOL narrowed considerably, such that the following pattern emerged: (i) For psychological health and social relations, the differences were no longer significant (p > 0.05).
When MA injection and relationship status were controlled for, difficulty accessing syringes was positively associated with syringe sharing (b = 0.45, AOR = 1.56, P = 0.026).
Group was added to control for difficulty differences between tests A and B. Furthermore, in order to test whether the effect of risk avoidance on FS was moderated by knowledge level, an interaction term (NR ��DKO) was added to the model.
First through third grade teachers read each item aloud to participants to control for difficulties associated with reading comprehension.
The specificity of the response to congruent cross-modal rather than unimodal feature matching, despite controlling for task difficulty, suggests that the perirhinal activation we observed cannot be accounted for by a successful match per se.
These approaches add to the existing array of techniques for controlling for exam difficulty in STEM education research, including use of identical exams (Mazur, 1997; Freeman et al., 2007); concept inventories or other standardized, third-party tests (e.g., Hestenes et al., 1992); and isomorphic or "formally equivalent" questions (e.g., Smith et al., 2009).
In addition, mixed emotional responses to cigarette cues predicted craving even after controlling for smoker type, difficulties regulating negative emotion, baseline craving level and mixed emotional responses to neutral cues.
Nevertheless, some of the problems with which very few of these studies have been able to contend (whether Putnam's original study) or later work, have been (1) difficulty controlling for selection based on preferences for local good provision, (2) issues with the small size or highly-aggregated nature of the data, and (3) difficulty finding credible measures of inequality and fractionalization.
