Sentence examples for data were explored by from inspiring English sources
Themes emerging from these data were explored by in-depth interviews with a sample of 18 childcare providers and 7 Local Authority Early Years Service staff.
FRAP data were explored by mathematical modeling to estimate steady-state reaction parameters.
Categorical and continuous data were explored by means of frequency and mean ± standard deviation.
Data were explored by means of descriptive statistics (mean values and standard deviations were calculated for each predictor).
Structures within the data were explored by means of exploratory factor analysis using principal axis factoring with oblique rotation.
The GSF data were explored by looking at a range of factors which might contribute to likelihood of such physical and psychological burden for the GSF group.
Sensitivity of the results to imputation of missing data was explored by running the models with and without imputation.
The relation between the size of the trial and the difference between the assumptions and observed data was explored by use of Spearman's correlation coefficient, and its 95% confidence interval was estimated by bootstrap.
Numerical data were explored for normality by checking the data distribution, calculating the mean and median values, evaluating histograms and normality curves, and using Kolmogorov Smirnov and Shapiro Wilk tests.
