Sentence examples for operationalization of data from inspiring English sources

Exact(1)

The model was capable of operationalization of data as an abstract construct referring to other hidden and integrative indications.

Similar(59)

Variation in the operationalization of IPV, collecting data procedures and characteristics of the samples may explain differences in abuse rates.

Assuming they would have selected the Mazmanian and Sabatier model [ 42], this would have led to the careful operationalization of variables and data to be collected – rather than drawing on a fairly randomly selected collection of informants and media expressions.

The social utility of mega-events, the concept of event-related legacy, and the operationalization of social impact and data collection time-frames for future studies are discussed.

We included all data elements that were clinically significant and met the following criteria: (1) availability of common fields; (2) consistency in operationalization of terms; (3) consistency in data collection methods; and, (4) congruence in original purpose for data collection.

The systematic bias in health data generally varies by data type (register versus survey data) and the operationalization of health outcomes.

The tool requires the operationalization of inputs, outputs, and the data which is shown in the resulting log files.

Subsequently, we explicate our data, the operationalization of the variables used in the multivariate analyses, and the statistical procedure.

This work presents SACRE (Smart Adaptation through Contextual REquirements), our approach leveraging an adaptation feedback loop to detect self-adaptive systems' contextual requirements affected by uncertainty and to integrate machine learning techniques to determine the best operationalization of context based on sensed data at runtime.

While the reliance on data on foreign-born residents is the most adequate operationalization of immigration status, it severely limits the availability of data in terms of both time and subject.

Further, most models are limited to quantitative data and dichotomous operationalization of variables.

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