数据收集和分析

IF 2.2 4区 生物学
G. Evans, M. A. Walsh
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引用次数: 0

摘要

在本章中,我介绍了与数据收集和分析相关的方法方面。我在每个案例中提供数据来源,包括关于受访者特征的详细信息。数据收集方法在试点案例A和四个后续案例B - E之间有所不同。因此,我首先提出试点案例的纵向数据收集方法,并继续案例B - E的数据收集。最后,我对数据分析过程进行了描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data collection and analysis
In this chapter, I present methodological aspects related to data collection and analysis. I present data sources within each case including detailed information with regard to interviewee characteristics. The data collection approach differs between the pilot Case A and the four follow up Cases B‐E. In consequence, I present the longitudinal data collection approach of the pilot case first and continue with the data collection at Cases B‐E. I end with a description of data analysis procedures.
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来源期刊
自引率
13.60%
发文量
0
审稿时长
3 months
期刊介绍: Acta Crystallographica Section D welcomes the submission of articles covering any aspect of structural biology, with a particular emphasis on the structures of biological macromolecules or the methods used to determine them. Reports on new structures of biological importance may address the smallest macromolecules to the largest complex molecular machines. These structures may have been determined using any structural biology technique including crystallography, NMR, cryoEM and/or other techniques. The key criterion is that such articles must present significant new insights into biological, chemical or medical sciences. The inclusion of complementary data that support the conclusions drawn from the structural studies (such as binding studies, mass spectrometry, enzyme assays, or analysis of mutants or other modified forms of biological macromolecule) is encouraged. Methods articles may include new approaches to any aspect of biological structure determination or structure analysis but will only be accepted where they focus on new methods that are demonstrated to be of general applicability and importance to structural biology. Articles describing particularly difficult problems in structural biology are also welcomed, if the analysis would provide useful insights to others facing similar problems.
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