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相关概念视频

Stratified Sampling Method01:16

Stratified Sampling Method

12.8K
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. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
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Cluster Sampling Method01:20

Cluster Sampling Method

12.7K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Group Design02:01

Group Design

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The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
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Cross-Sectional Research01:50

Cross-Sectional Research

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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Data Collection by Experiments01:13

Data Collection by Experiments

25.2K
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...
25.2K
Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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相关实验视频

Updated: Sep 9, 2025

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
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在混合方法研究中整合文献,理论和研究数据的整合程序

Ahtisham Younas1,2, Sergi Fàbregues3, Shahzad Inayat4

  • 1Memorial University of Newfoundland, St. John's, Canada.

Journal of advanced nursing
|September 3, 2025
PubMed
概括

这项研究引入了一种新的拼接整合程序,将文献和理论与混合方法研究 (MMR) 的研究数据联系起来. 这种技术提高了数据分析和解释,使得发现更加严格和综合.

关键词:
一个拼图数据分析数据呈现方式整合方式混合方法研究方法在理论上

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相关实验视频

Last Updated: Sep 9, 2025

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科学领域:

  • 护理研究方法
  • 混合方法研究整合

背景情况:

  • 混合方法研究 (MMR) 往往忽视了文献审查和理论层面的整合.
  • 现有的MMR文献主要侧重于设计,实地研究,分析和解释过程中的整合.

研究的目的:

  • 提出并说明将文献和理论与MMR研究数据联系起来的拼接整合程序.
  • 加强文献审查和理论层面在MMR整合三元组中的有意义的整合.

主要方法:

  • 在两项由护士领导的探索性连续混合方法研究中开发和应用了拼接技术.
  • 拼接技术包括将多个数据片段,图形和文本信息合成一个单一的视觉表示.

主要成果:

  • 拼接有助于在数据,文献和理论之间建立前后联系.
  • 这种技术有助于从集成数据中产生意义和精细推断和元推断.
  • 它可以进行密集的数据分析,在整个过程中嵌入文献和理论见解.

结论:

  • 拼接整合程序为MMR提供了一种有意义的整合方法.
  • 护士研究人员可以利用拼接进行有效的整合,提高文献审查和理论维度的严谨性.
  • 这种技术通过结合被忽视的维度来促进更全面的MMR设计.