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相关概念视频

Data Collection by Experiments01:13

Data Collection by Experiments

24.4K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
24.4K
Data Collection by Observations01:08

Data Collection by Observations

12.1K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.1K
Data Collection I01:30

Data Collection I

6.3K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
6.3K
Data Collection III01:05

Data Collection III

2.8K
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
2.8K
Randomized Experiments01:13

Randomized Experiments

7.1K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
7.1K
Data Collection II01:29

Data Collection II

8.3K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
8.3K

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相关实验视频

Updated: Jul 26, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
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Interactive and Visualized Online Experimentation System for Engineering Education and Research

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数据管:用于在线实验的开放式数据收集.

Joshua R de Leeuw1

  • 1Department of Cognitive Science, Vassar College, Poughkeepsie, NY, USA. jdeleeuw@vassar.edu.

Behavior research methods
|June 20, 2023
PubMed
概括
此摘要是机器生成的。

数据管是一个免费的开源工具,使研究人员能够直接将行为实验数据保存到开放科学框架中. 这有助于建立开放式数据收集实践,以提高研究透明度和可访问性.

关键词:
数据共享数据的共享.开放数据是开放的数据.开放科学是一个开放的科学.

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Methods to Test Visual Attention Online
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科学领域:

  • 行为科学 行为科学
  • 开放科学实践 开放科学实践
  • 研究方法研究方法研究方法学

背景情况:

  • 在行为实验中的传统数据管理可能是繁的.
  • 直接将数据保存到像开放科学框架这样的存储库通常是具有挑战性的.
  • 缺乏可访问的工具阻碍了采用开放数据实践.

研究的目的:

  • 介绍DataPipe,这是一个用于无数据传输的新工具.
  • 描述DataPipe的设计和功能.
  • 强调DataPipe在促进开放式数据收集方面的作用.

主要方法:

  • 数据管使用基于Web的配置接口.
  • 一个应用程序编程接口 (API) 便于数据传输.
  • 来自实验的数据直接发送到开放科学框架.

主要成果:

  • 数据管提供了一个用户友好的方法来配置数据存储.
  • 该工具可以直接,实时地将数据保存到开放科学框架.
  • 它支持从任何连接到互联网的实验设置收集数据.

结论:

  • 数据管简化了开放数据收集的过程.
  • 该工具使研究人员能够采用天生的开放数据实践.
  • 数据管是研究界的一个有价值的,免费的,开源的资源.