Sentence examples for data collection criteria from inspiring English sources

Exact(5)

Data collection criteria differ widely, and higher rape statistics are just as likely to indicate a more pro-active law enforcement regime that encourages women to come forward as a high incidence of sexual violence.

The data collection criteria that guided the interviews also guided the observations.

While the topmost relevant users tend to correspond to each party's candidate and official accounts, which is partly caused by the data collection criteria, it is interesting to note the presence of other very central nodes in these clusters, including media or institutional accounts (the municipality account, in the cluster of the outgoing mayor's party).

Thorough information about the HMS data collection criteria, procedures, and instruments used are described elsewhere [ 22].

The main strength of this study was an inclusive, accurate dataset through strict and specific data collection criteria over a period of 8 years.

Similar(55)

Notwithstanding these limitations the study meets the criteria set by the Cochrane Effective Practice and Organisation of Care (EPOC Review Groupp data collection checklist criteria for being included in EPOC reviews (McAuley & Ramsay, 2002).

Although we used a common protocol for data collection, inclusion criteria varied somewhat between countries.

The second national oral health survey included rural adults from each of the 11 provinces chosen for survey data collection using criteria described by the WHO [ 4].

At the time of data collection, diagnostic criteria and severity rating scales for augmentation were not established; therefore, augmentation severity was not evaluated in the study.

Based on the differences between the studies in data collection, inclusion/exclusion criteria, geography, and influenza season, the two study populations were analyzed separately.

Where possible, the Cochrane Collaboration advocates prospective meta-analysis [ 36], which overcomes inconsistencies in data collection, entry criteria, study protocols and outcome measures, as well as the criticism of data-dredging.

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