This was a secondary data analysis study using HFS-II survey data collected from four different National Institutes of Health funded projects conducted at the University of Virginia Center for Behavioral Medicine Research between 1998 and 2009.
Data analysis The survey data analysis was performed by two researchers and revised by all co-authors.
LW, SS, and GDB contributed to data analysis and survey development.
GG was the project leader contributing to study design, conducted the interviews, qualitative data analysis, postal surveys and prepared first full draft of manuscript.
This case study analyzes the strategy and elaborates on good practices supported by the preliminary results from data analysis of surveys conducted the day of the fairs and in post-fair monitoring from 2009-2010.
Thirty-nine studies have recruited through the databases (examples include core data analysis projects, surveys, cognitive neuroscience projects, intervention/treatment projects, research priority setting initiatives); many more studies will be supported in the coming years.
We used a mixed method, sequential, explanatory design consisting of quantitative data collection and analysis (survey) followed by qualitative data collection and analysis (focus groups); 11 12 details of the methodology have previously been published.
This study aims to use a multidisciplinary approach, combining remotely sensed data analysis and field survey, to investigate the extent and palaeoenvironmental significance of sand ramps in the Drakensberg/Rooiberge foothills of South Africa.
JZ conducted data analysis of the survey.
Initial data analysis of the survey data was undertaken using Microsoft Excel spread sheets.
NMS was a team member of the project and joined in the design and data analysis for the survey.
