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相关概念视频

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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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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Surveys02:16

Surveys

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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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Longitudinal Studies01:26

Longitudinal Studies

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Naturalistic Observations02:30

Naturalistic Observations

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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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相关实验视频

Updated: Jun 18, 2025

An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing
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在一个为期12个月的密集长度研究中,负担和不注意的反应:年轻成年人之间的采访研究.

Shirlene D Wang1, Lori Hatzinger1, Jeremy Morales1

  • 1Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.

JMIR formative research
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PubMed
概括

密集的纵向数据 (ILD) 研究面临着参与者注意力不集中 (IR) 的挑战. 了解社会背景和动机等因素是改善生态瞬间评估 (EMA) 调查数据质量的关键.

关键词:
这是一个沉重的负担.不小心的回应不小心的回应数据质量数据质量数据质量生态瞬间评估 环境瞬间评估退出面试 退出面试 面试进行密集的纵向数据收集.手机电话 手机电话手机电话

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科学领域:

  • 社会和行为研究社会和行为研究.
  • 心理学 心理学 心理学
  • 健康行为研究研究健康行为研究.

背景情况:

  • 密集的纵向数据 (ILD) 收集对于了解随时间推移的行为有价值.
  • 在ILD研究中,参与者的负担会导致不注意的响应 (IR),影响数据质量.
  • 之前的研究还没有充分探讨在ILD中IR的基本过程.

研究的目的:

  • 在密集的纵向数据 (ILD) 研究中,对不注意响应 (IR) 导致的过程和因素进行定性探索.
  • 为未来的研究产生假设,旨在改善长期研究中的数据质量.

主要方法:

  • 对31名年轻成年参与者 (18-29岁) 进行了半结构化的定性退出访谈.
  • 参与者完成了一项为期12个月的健康行为研究,每天和每小时使用基于智能手机的生态瞬间评估 (EMA) 调查.
  • 面试评估了动机,情境影响,响应模式的变化以及对注意力检查问题 (ACQ) 的看法.

主要成果:

  • 关于影响参与者参与和数据质量的因素,出现了五个主题.
  • 确定了社会影响 (朋友/家人),对速度的渴望,调查的重复性,ACQ的有效性以及参与者的不同动机.
  • 中立反应和社会背景对调查容忍度的影响是重要的发现.

结论:

  • 在密集的纵向数据 (ILD) 研究中,参与者的感知揭示了影响不注意反应 (IR) 的关键因素.
  • 结果表明,通过考虑社会背景,动态动机和注意力检查问题 (ACQ) 的战略使用,改善EMA调查设计.
  • 解决这些因素可以提高参与者的参与度,并最大限度地提高长期研究的科学价值.