Kappenman Emily S, Keil Andreas
Department of Psychology, San Diego State University, San Diego, California, USA.
Department of Psychology and Center for the Study of Emotion and Attention, University of Florida, Gainesville, Florida, USA.
Psychophysiology. 2017 Jan;54(1):3-5. doi: 10.1111/psyp.12787.
In recent years, the psychological and behavioral sciences have increased efforts to strengthen methodological practices and publication standards, with the ultimate goal of enhancing the value and reproducibility of published reports. These issues are especially important in the multidisciplinary field of psychophysiology, which yields rich and complex data sets with a large number of observations. In addition, the technological tools and analysis methods available in the field of psychophysiology are continually evolving, widening the array of techniques and approaches available to researchers. This special issue presents articles detailing rigorous and systematic evaluations of tasks, measures, materials, analysis approaches, and statistical practices in a variety of subdisciplines of psychophysiology. These articles highlight challenges in conducting and interpreting psychophysiological research and provide data-driven, evidence-based recommendations for overcoming those challenges to produce robust, reproducible results in the field of psychophysiology.
近年来,心理与行为科学加大了力度以强化方法实践和出版标准,其最终目标是提高已发表报告的价值和可重复性。这些问题在多学科的心理生理学领域尤为重要,该领域会产生包含大量观测数据的丰富而复杂的数据集。此外,心理生理学领域可用的技术工具和分析方法在不断发展,拓宽了研究人员可采用的技术和方法范围。本期特刊发表的文章详细介绍了对心理生理学各个子学科中的任务、测量方法、材料、分析方法和统计实践进行的严格且系统的评估。这些文章突出了开展和解释心理生理学研究过程中面临的挑战,并提供了以数据为驱动、基于证据的建议,以克服这些挑战,从而在心理生理学领域产生可靠、可重复的结果。