Christopher R. Browning, Nicolo P. Pinchak, Catherine A. Calder, Bethany Boettner
{"title":"Leveraging Experience Sampling/Ecological Momentary Assessment for Sociological Investigations of Everyday Life","authors":"Christopher R. Browning, Nicolo P. Pinchak, Catherine A. Calder, Bethany Boettner","doi":"10.1146/annurev-soc-091523-013249","DOIUrl":null,"url":null,"abstract":"Experience sampling (ES)—also referred to as ecological momentary assessment (EMA)—is a data collection method that involves asking study participants to report on their thoughts, feelings, behaviors, activities, and environments in (or near) real time. ES/EMA is typically administered using an intensive longitudinal design (repeated assessments within and across days). Although use of ES/EMA is widespread in psychology and health sciences, uptake of the method among sociologists has been limited. We argue that ES/EMA offers key advantages for the investigation of sociologically relevant phenomena, particularly in light of recent disciplinary emphasis on investigating the everyday mechanisms through which social structures and micro (individual and relational) processes are mutually constitutive. We describe extant and potential research applications illustrating the advantages of ES/EMA regarding enhanced validity, illuminating micro-temporal processes, and the potential for linkage with spatially and temporally referenced data sources. We also consider methodological challenges facing sociological research using ES/EMA.","PeriodicalId":51353,"journal":{"name":"Annual Review of Sociology","volume":null,"pages":null},"PeriodicalIF":8.9000,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Sociology","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1146/annurev-soc-091523-013249","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Experience sampling (ES)—also referred to as ecological momentary assessment (EMA)—is a data collection method that involves asking study participants to report on their thoughts, feelings, behaviors, activities, and environments in (or near) real time. ES/EMA is typically administered using an intensive longitudinal design (repeated assessments within and across days). Although use of ES/EMA is widespread in psychology and health sciences, uptake of the method among sociologists has been limited. We argue that ES/EMA offers key advantages for the investigation of sociologically relevant phenomena, particularly in light of recent disciplinary emphasis on investigating the everyday mechanisms through which social structures and micro (individual and relational) processes are mutually constitutive. We describe extant and potential research applications illustrating the advantages of ES/EMA regarding enhanced validity, illuminating micro-temporal processes, and the potential for linkage with spatially and temporally referenced data sources. We also consider methodological challenges facing sociological research using ES/EMA.
期刊介绍:
The Annual Review of Sociology, established in 1975, provides comprehensive coverage of significant developments in the field of sociology. The journal encompasses a wide range of topics, including major theoretical and methodological advancements, as well as current research across major subfields within sociology.
Topics Covered:
Social Processes
Institutions and Culture
Organizations
Political and Economic Sociology
Stratification
Demography
Urban Sociology
Social Policy
Historical Sociology
Major Developments in Sociology in Other Regions of the World
Content:
Review chapters within the journal typically delve into these topics, offering in-depth analyses and insights into various aspects of sociology. These chapters serve to provide readers with a comprehensive understanding of the field's current state and recent advancements.