Sentence examples for measures were explored using from inspiring English sources

Continuous secondary measures were explored using a mixed model repeated measurement (MMRM) analysis with independent variables being treatment group, visit, the interaction between treatment group and visit, and the corresponding baseline value.

Associations between the stress measures (at all time points) and offspring vascular outcome measures were explored using multivariable linear regression with the statistical package SPSS version 18.0 (SPSS, Chicago, USA).

Short-term precision for repeated measures was explored using intraclass correlational coefficient (ICC), mean coefficient of variation (CV%), root mean square coefficient of variation (RMSCV%) and least significant change (LSC%95).

The relationship between the mean variability in blood glucose levels (reported as % coefficient of variation (CV) = [standard deviation/mean]∗100%) and the psychomotor reaction time measures was explored using a 2-way analysis of variance (regression analysis).

The possibility of a proportional bias, that is, a different agreement between the two observers depending on the mean of the measure, was explored using a least square regression line fitted to the plot.

Fasting, postprandial, and overall mean glucose measures and their relationship to outcomes were explored using continuous measures and categorized quartile and tertile groupings; all methods yielded similar relationships.

The relationships between staff demographic variables (role, length of service, education status, previous training in health/mental health) and the two continuous outcome measures prior to training were explored using the Kruskal Wallis test followed by the Mann Whitney U test for pairwise comparisons.

In addition to qualitative measures, assessment validity and reliability were explored using item response theory.

Factors which influenced the patients' site of choice were explored using measures of symptom characteristics, as well as predefined triggers previously shown to influence care-seeking behaviour.

Relationships between environmental parameters measured at the field sites were explored using a principal coordinates analysis (PCA) in PRIMER version 6.1.10 [75].

Differences between bankers and non-bankers in HRQoL at T1 and T2 were explored using repeated measures ANOVA with one between-participants factor (Bank: bankers vs non-bankers) and one within-participants factor (Time: T1 vs T2).