Sentence examples for mixed data analysis from inspiring English sources

The following section examines how newspaper data can benefit from mixed data analysis.

It presents general findings from the qualitative analysis of all claims in the sample (mixed data collection) and then focuses on the consequences for conclusions drawn from newspaper data (mixed data analysis).

All data were analyzed using a parallel mixed data analysis strategy [ 77].

However, in practice, the same stratification procedure performed on the principal component scores provided by a mixed data analysis (without balancing the environmental factors) [ 26] gave comparable clusters in terms of spatial and environmental descriptions, and did not modify the membership of the final mosquito collection sites to the landscape contexts (data not shown).

It advocates two mixed-methods approaches to newspaper data research: mixed data-collection (relying on at least two kinds of data) and mixed data-analysis (using multiple or cross techniques regardless of the type of data) (Small, 2011, p. 60).

It adopts case study methodology, triangulation method of data collection and mixed method data analysis.

Mixed model data analysis will be performed.

The framework evolved through an iterative process of mixed method data analysis, reference to the literature, reflection and research team discussion over a period of 6 years.

We further considered linear effects in the mixed model data analysis by estimating random slopes for each patient and then obtaining the estimated average slope to describe the observed effect of QOL, PHQ9A, and BMI z-score over time for the entire sample.

The study used a mixed-method data analysis design that, in addition to data automatically logged through the backchannel, included the use of observations, surveys, lecturer interviews and student focus groups.

Based on the current state of knowledge, we recommend using power methods developed for multivariate models to calculate sample size for studies using common mixed models for data analysis.