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相关概念视频

Data Validation01:03

Data Validation

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
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Data Validation01:15

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Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
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Contaminants and Errors01:16

Contaminants and Errors

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Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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使用定性方法来检测临床经验采样方法 (ESM) 中的有效性问题.

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  • 1Department of Developmental Psychology, Tilburg University.

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定性方法通过识别和理解参与者解释问题来提高经验采样方法 (ESM) 研究的有效性. 这种方法补充了定量数据,提高了临床评估的可靠性.

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科学领域:

  • 临床心理学 临床心理学
  • 研究方法研究方法研究方法学

背景情况:

  • 经验采样方法 (ESM) 在临床研究中越来越多地用于生态有效性.
  • 由于参与者的解释挑战,人们对ESM的有效性存在担忧.

研究的目的:

  • 突出质量方法在发现和理解ESM研究中的有效性问题的贡献.
  • 提供关于在ESM研究中实施定性有效性检查的实际指导.

主要方法:

  • 使用定性方法,如焦点小组,开放式项目,认知面试和半结构面试.
  • 翻译现有的定性方法用于ESM研究,跨越不同研究阶段.

主要成果:

  • 定性方法可以有效地识别ESM的有效性问题的发生和内容.
  • 来自ESM临床文献和混合方法研究的例子说明了这些检查的有用性.

结论:

  • 质量有效性检查对于确保ESM数据在临床研究中的准确性至关重要.
  • 鼓励临床研究人员整合定性方法,以改善ESM研究结论.