Sentence examples for data collection through surveys from inspiring English sources

We have focused on this field using the case study method, a research approach which is helpful for the development of greater understanding of innovative management accounting systems, discarding other methods, such as data collection through surveys.

For example, environments such as IBM SPSS and SAS Analytics, which are the instruments of choice for predictive analysis, provide tools for data collection through surveys, data mining, and presentation but do not offer a collaborative framework with capabilities for harvesting content from the internet and automated semantic annotation.

In a recent review O'Cathain et al. [ 40] found that the quantitative component in mixed methods health services research largely comprised primary data collection through surveys, other observation studies or intervention studies.

Useful as SNA is to describe communication patterns and identify key actors, data collection through surveys or interviews can involve a significant time investment for already stretched clinicians and achieving a high response rate from mobile staff on rotating shifts can be difficult.

Efforts are under way to improve regular data collection through international surveys, such as the DHS, the LSMS and UNICEF's Multiple Indicator Cluster Survey by integrating additional questions on type of cooking stove and kitchen characteristics within the harmonized questionnaires.

As used here, the term surveillance refers to data collection through several consecutive surveys.

This report presents the results of a comprehensive costing analysis – based on detailed inspection of financial records, interviews with sexuality education program personnel, and primary data collection through specifically designed surveys in schools – in all countries studied.

For chlorhexidine cord cleansing in settings where policy is provision for all live births [ 25], data collection through a household survey such as DHS could be feasible.

For diabetes, data is available on morbidity (Hospital Information Systems, Ambulatory Information System, and Hypertension and Diabetes Registration and Follow-up system), mortality (single cause or multiple causes) and risk factors (routine data collection through surveillance systems and surveys) [ 17].

In other words, analytical capacity and research experience matters, as data collection through closed questionnaires and quantitative surveys will not be sufficiently flexible.

Increasing numbers of donor-supported national HIV, TB and malaria programmes are conducting comprehensive programme reviews and evaluations, supported by activities to strengthen essential data collection through routine disease surveillance systems, surveys, data quality assessments and sometimes sentinel sites.