序列反应时间任务的可靠性:测试-重新测试相关性的元分析
Cátia M Oliveira1, Marianna E Hayiou-Thomas1, Lisa M Henderson1
1Department of Psychology, University of York, York, North Yorkshire, UK.
Royal Society open science
|July 21, 2023
概括
序列反应时间任务显示了强大的群组学习效果,但对个人差异研究的重新测试可靠性较差. 建议在个人研究中使用此程序记忆测量时谨慎使用.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 心理测量 心理测量 心理测量
背景情况:
- 序列反应时间任务 (SRTT) 是程序记忆的一个关键指标.
- 它被广泛用于个人差异研究,将程序记忆与认知能力联系起来.
- 最近的发现表明SRTT程序学习效应的可靠性较差.
研究的目的:
- 通过元分析来评估SRTT程序学习效应的可靠性.
- 调查程序性记忆研究中的"可靠性悖论".
- 确定影响SRTT可靠性的因素.
主要方法:
- 一项对7项涉及719名参与者的研究进行的元分析.
- 计算整体重新测试可靠性和分半可靠性.
- 分析潜在的调节因素,如参与者的年龄,任务方法和分析选择.
主要成果:
- 总的来说,重新测试的可靠性在心理学上是不可接受的 (r < 0.40).
- 一个会话内的分半可靠性更好 (r = 0.66).
- 没有发现因参与者的年龄,任务参数或分析方法的显著适度.
结论:
- 该SRTT表现出一种"可靠性悖论":强大的群体效应但个体可靠性差.
- 目前使用SRTT进行个体差异研究需要谨慎.
- 需要进一步的研究,以了解和提高SRTT可靠性,以进行个人评估.
更多相关视频
09:39An Open-Source, Fully Customizable 5-Choice Serial Reaction Time Task Toolbox for Automated Behavioral Training of Rodents
Published on: January 19, 2022
4.2K
08:40Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
Published on: June 12, 2019
7.5K
相关概念视频
Reliability and Validity
12.8K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.8K
Measuring Reaction Rates
25.3K
Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical...
25.3K
Comparing Experimental Results: Student's t-Test
1.6K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
1.6K
