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Retrospective data on childhood circumstances and cross-sectional data on adulthood indicators collected during the first wave of data collection were employed to examine the effect of parental separation during the first stages of the adult life cycle.
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Both qualitative and quantitative approaches to data collection were employed, including creative methods with children to facilitate their contribution.
Two methods of data collection were employed: focus groups facilitated by members of the asylum seeking community and one-to-one or group interviews, conducted through an interpreter.
To measure the impact of the intervention, four methods of data collection were employed: (1) Work Environment and Health electronic surveys, (2) Ergonomics knowledge tests, (3) Observations and (4) business process analysis (BPA).
This study was cross-sectional in nature, and both qualitative and quantitative methods of data collection were employed.
Two methods of data collection were employed; (i) In two highly deprived areas in each of the 14 European capital cities, homeless-specific services providing mental health, social care or general health services were assessed.
An ethnographic approach to data collection was employed, consisting of observations and interviews [ 15].
A mixed methods approach to data collection was employed in a three-stage, modified Delphi process: Three expert workshops (participant total n=42), including members of the public, academic and user-researchers, researcher/clinicians, research funders and research managers were conducted to generate qualitative data.
A qualitative descriptive study design using focus group discussion for data collection was employed and chosen as an efficient and feasible means to record participant views.
A multiple method of data collection was employed, whereby some Fig. 1 research model questionnaires were mailed to the respondents, some were e-mailed, and some were personally administered.
Collecting representative data on sensitive issues, especially data that are used to determine population prevalence estimates, is problematic whatever mode of data collection is employed [ 2- 6].
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