经验抽样法
心理学
心理信息
情感(语言学)
习惯化
感觉
临床心理学
数据收集
采样(信号处理)
发展心理学
协议(科学)
社会心理学
统计
梅德林
医学
病理
法学
心理治疗师
沟通
计算机科学
政治学
替代医学
数学
计算机视觉
滤波器(信号处理)
作者
Gudrun Eisele,Hugo Vachon,Ginette Lafit,Daphne Tuyaerts,Marlies Houben,Peter Kuppens,Inez Myin‐Germeys,Wolfgang Viechtbauer
摘要
Since the introduction of the experience sampling method (ESM), there have been concerns that the repeated assessments typically related to this method may alter the behavior, thoughts, or feelings of participants. Previous studies have offered mixed results with some studies reporting reactive changes, while others failed to find such effects. Our aim was to investigate under which circumstances ESM induces reactive effects. Students (N = 151) were randomly assigned to receive a questionnaire containing 30 or 60 items three, six, or nine times per day for 14 days. A random sample of 50 participants took part in qualitative interviews after the end of the data collection. We investigated changes over time in the data, while taking into account the sampling protocol and characteristics of participants, and analyzed qualitative reports of measurement reactivity. Decreases in completion time, within-person variance of ratings and subjective reports of habituation point toward the existence of a habituation period. While participants reported increases in emotional awareness in interviews, ESM measures indicated a decrease in emotional awareness over time. Changes in behavior were rare in quantitative and qualitative reports. Positive affect was decreasing over time in the ESM data, and various changes in affect, emotion regulation, and thoughts were reported in interviews. Individual characteristics and sampling protocol had inconsistent effects on changes over time. The results suggest that ESM induces changes in within-person variability, completion times, affect, or emotional awareness over time. Further research is needed to explore whether observed changes affect the validity of ESM data. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
科研通智能强力驱动
Strongly Powered by AbleSci AI