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In this paper, I address the question of how different measures reflect different perspectives and biases by investigating the production and diffusion of research associated with one of Stanford University's most prolific interdisciplinary centers, the Center for Computer Research in Music and Acoustics (CCRMA).
Employing the analytic categories of "description" and "enactment," and distinguishing between "indicators" and "pathways," I show how different measures reflect different activities and learning processes, and how they dramatically alter perceptions of active individuals, organizational reach, and timing and sequencing of activities.
The two measures reflect different features of the similarity between a clustering and a reference and we therefore included results from both (see Methods).
Individual and neighborhood SEP measures reflect different attributes and factors that can jointly or independently impact health and health outcomes [ 22, 27].
The correlation with HbA1c and glucose is rather low, potentially reflecting the fact that these measures reflect different aspects of glycaemia.
Self-reported health functions as the general measure of health, while the other measures reflect different dimensions of health; the impact of suffering from a disease, of mental health status and of physical ability.
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There are many different goodness-of-fit measures, reflecting different considerations, and usually three or four are reported.
High-content screens provide an additional level of complexity, where image analysis algorithms produce many measures reflecting different, but overlapping, aspects of the underlying biology (e.g. spot count, spot intensity and spot area).
While visual acuity (the ability to resolve static, black letters of decreasing size on a white background) is the most well-known measure of acuteness of vision, there are many measures that reflect different visual abilities; these include stereoacuity, visual acuity for dynamic targets ('dynamic VA') [4, 12, 36], contrast sensitivity [37], and positional acuity [38], to name but a few.
However, both the time spent on the walls and jumps to the ceiling are cumulative measures, taken over the full observation period of 30 minutes, whereas the latencies to move and to the walls reflect the birds' initial response to the new situation, thus the former and latter measures could reflect different aspects of the birds' responses.
Using different SES measures may reflect different specific exposures and can provide various information on peoples' relative socioeconomic positions within their community [ 13].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com