Sentence examples for and type of measuring from inspiring English sources

Exact(1)

Factors thought to affect CCT include race, age, sex, anthropometric parameters, drugs, time of day, blink rate, and type of measuring equipment used.

Similar(59)

This paper applies a multi-point, multi-measure approach to reconcile differences in past price knowledge research by examining systematic relationships between time of measurement and type of measures applied.

These differences of precision and type of measure may be less important for studies with large sample sizes.

We have administered similar quantity and type of measures to family caregivers with no negative sequelae apparent [ 33].

This may include the number and type of measures (structural, process, outcome) or domain of measures (diabetes management, hypertension, safety, etc).

The number and type of measures per assessment, and the number of serial assessments per patient, should be sufficient to address all the study objectives within the limits of study resources and assessor burden.

There are limits to the number and type of measures that respondents can be expected to complete without getting tired or frustrated, and/or that the study budget can afford in regards to both data collection and analysis.

Second, our review shows that studies on cG × E are characterized by a large diversity in the conceptualization of, and type of measures used to assess, both family adversity and externalizing behaviors (e.g., present vs. retrospective; self-reported vs. observed behavior).

Focusing on animal-based measures, this chapter analyzes on-farm welfare-assessment protocols for various cattle categories in terms of number and types of measures included and the main factors shaping the design of such protocols.

It is unclear as to whether hospital characteristics or the number and types of measures that hospitals report under the VBP program are associated with the estimated VBP score, and eventually influence the amount of incentive payments.

The use of multilevel modeling techniques allowed for the evaluation of moderating effects on these relationships, including those of gender, year of data collection, mean age of the sample, publication type, and type of symptomatology measured.

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