Sentence examples for primary research methods from inspiring English sources
Major findings include that most studies of mobile learning focus on effectiveness, followed by mobile learning system design, and surveys and experiments were used as the primary research methods.
The economic assessment method will, as far as possible, adhere to the recommendations of the NICE Reference Case. 25 Primary research methods will be followed to estimate the costs of the surgical treatment options, including supplementary devices and rehabilitation inputs.
Original studies including the four types of primary research methods – existing data, experiments, surveys, and observation – that focused on the association between SSBs and HFSSFs prices and taxes and their corresponding consumption or energy intake or obesity-related outcomes were included in the present systematic review.
Electronic health records, including primary care databases, have proved to be very powerful resources for epidemiological and health research, 2 12 allowing research that would be difficult using primary research methods; for example, studying the elderly and people with severe mental illness.
Participatory GIS mapping (PGIS) is the primary research method used.
The primary research method was structural equation modeling using LISREL.
A systematic literature review was used as a primary research method and was combined with a gap analyses.
Telephone surveys are the practitioners' "primary research method".
The primary research method used was cross-sectional questionnaires focused on hospital managers' perceptions of IC, followed by semi-structured interviews and analysis of administrative data.
Surveys and questionnaires were the primary quantitative research methods employed while the most frequently used qualitative methods were individual and focus group interviews.
Similarly, other principles from primary qualitative research methods may also be 'borrowed' such as deliberately seeking studies which might act as negative cases, aiming for maximum variability and, in essence, designing the resulting set of studies to be heterogeneous, in some ways, instead of achieving the homogeneity that is often the aim in statistical meta-analyses.
