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Qualitative data analysis followed a modified form of 'meaning condensation', 24 which involved the following steps: first, the transcribed interviews were read through by the principal investigators in each country (AB, CM, MM/CB, JS) to obtain an overview of the collected data.
Months of meticulous checks and data analysis followed.
Data analysis followed an iterative approach built from Miles and Huberman (1994).
Transcriptional analysis using total lung RNA was performed on replicate animals for each experimental time point with exploratory data analysis followed by statistical significance analysis.
Data analysis followed an inductive ('grounded') approach and identified seven key themes in the participants reported preferences for woodland landscapes.
Aerosol chemical composition measurements and data analysis followed procedures as described by ref. 59 in the case of the Q-ACSM, ref. 58 for the ToF-ACSM, and the best practice compendium for ACSM types as described here: https://www.psi.ch/acsm-stations/acsm-best-practice.
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Data analysis follows from a sample of 181 medium-sized Spanish manufacturing firms.
Data analysis follows fairly standard techniques from grounded theory and life history methodologies.
During their last semester, each team carries out follow-up activities such as data analysis, follow-up experiments, model analysis, and prepares a manuscript for peer-reviewed publication.
With regard to the regions-of-interest data analysis, follow-up analyses of a priori regions of interest were conducted in regions noted above that achieved significance in the breakfast-pattern analyses.
For the before and after CST data the analysis followed a paired sample t-test analysis.
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