Field Methods实地方法
Field Methods(英文缩写 FIELD METHOD),ISSN 1525-822X,eISSN 1552-3969,中文译名:实地方法 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间:2025-10-01 至 2026-09-30,按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 1.782 | Q2 |
| 2022 | 1.700 | Q2 |
| 2023 | 1.100 | Q2 |
| 2024 | 1.400 | Q2 |
| 2025 | 1.500 | Q2 |
Field Methods 最新收录文献
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1. Enrollment and Compliance in an Ecological Momentary Assessment Study of Later Life.
PMID:日期:2026-04-28This study addresses enrollment and compliance in ecological momentary assessment (EMA) research by focusing on a sample of older adults with varying levels of technological familiarity. This is noteworthy because contemporary EMA studies predominantly require participants to use smartphones to record data in real time. We employ a two-stage analysis where we estimate the probability of enrollment based on sociodemographic and research design attributes and next use the output from this model to address potential selection bias in a subsequent model estimating compliance rates. We find that smartphone ownership is a major predictor of enrollment and that offering participants a loaner smartphone is insufficient to overcome this barrier. Ultimately, our findings suggest that while there are some potential design strategies that prospective researchers could implement to improve enrollment and compliance, there will likely always be some people whose attributes decrease their probability of enrollment and compliance regardless of intervention.
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2. "When You Are Holding a Pen You Think Deeper about What You Write." Comparing the Experiences of Completing Paper- and Computer-based Participant-aided Sociograms.
PMID:日期:2026-04-05Past personal network research has highlighted the many trade-offs in data collection strategies but has largely overlooked respondents' perspectives on the interview experience. We use a within-subjects research design to compare respondents' experiences with pen-and-paper sociograms and a comparable computer-assisted approach using Network Canvas, among young people in rural KwaZulu-Natal, South Africa. Data were collected through five focus groups (30 participants in total) and analyzed using thematic analysis and a novel journey-based approach. Our results highlight key experiential trade-offs between the analog and digital methods focusing on cognitive burden, emotional investment, and practical constraints.
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3. Online Survey Retention and Re-engagement: Learning from the COVID-19 Social Study.
PMID:日期:2025-01-08This article examines factors associated with survey attrition/retention in an online panel survey with weekly/monthly follow-ups during the COVID-19 pandemic. It also explores the effectiveness of making contact with dropout participants and factors associated with sample re-engagement, as well as motivations and barriers to maintaining survey participation. Our data consisted of over 1.2 million records from over 70,000 participants collected between March 2020 and April 2022. On average, 92.7% participants during weekly follow-ups and 95.9% during monthly follow-ups participated again in a later wave. The high retention rates, to some extent, could be attributed to a high level of altruistic motivations during a global health crisis and to the use of retention strategies to create a project community. A similar set of factors were related to both survey attrition/retention and re-engagement. However, some differences were also found, indicating the possibility of distinct decision processes.
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4. Recruitment and Attrition for Panel Surveys of Hard-to-reach Populations: Some Lessons from a Longitudinal Study on Undocumented Migrants.
PMID:日期:2023-11-09Conducting research among hard-to-reach populations is a difficult endeavor because some of their characteristics are known to be associated with survey nonresponse and panel attrition. In the case of the Parchemins study, which followed undocumented migrants over their process of regularization and during the first years of regularized life in Geneva, we underscore the difficulties in recruiting and keeping respondents who come from such a hard-to-reach population. Factors hindering their participation include the fear of being denounced as undocumented, missing time due to high workload, health issues, or language problems. Using unique data from the recruitment and the follow-up processes, we demonstrate that investing high resources and time is particularly beneficial to reach such a population and to reduce attrition over successive data collection waves. In addition, we present the strategies adopted to draw a convenient sample from our targeted population, which mainly relies on generating trust.
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5. What predicts willingness to participate in a follow-up panel study among respondents to a national web/mail survey?
PMID:日期:2023-08-09The American Family Health Study (AFHS) collected family health and fertility data from a national probability sample of persons aged 18-49 between September 2021 and May 2022, using web and mail exclusively. In July 2022, we surveyed AFHS respondents and gauged their willingness to become part of a national web panel that would create novel longitudinal data on these topics. We focus on predictors of willingness to participate, identifying the potential selection bias that this type of approach may introduce. We found that efforts of this type to create a national web panel may introduce potential selection bias in estimates based on the panel respondents, with individuals having higher socio-economic status being more cooperative. Thus, alternative recruitment strategies and re-weighting of the subsample may be needed to further reduce selection bias. We present methodological implications of our results, limitations of our approach, and suggestions for further research on this topic.
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6. Case-to-factor Ratios and Model Specification in Qualitative Comparative Analysis.
PMID:日期:2023-03-19Qualitative comparative analysis (QCA) is an empirical research method that has gained some popularity in the social sciences. At the same time, the literature has long been convinced that QCA is prone to committing causal fallacies when confronted with non-causal data. More specifically, beyond a certain case-to-factor ratio, the method is believed to fail in recognizing real data. To reduce that risk, some authors have proposed benchmark tables that put a limit on the number of exogenous factors given a certain number of cases. Many applied researchers looking for methodological guidance have since adhered to these tables. We argue that fears of inferential breakdown in QCA due to an "unfavorable" case-to-factor ratio are without foundation. What is more, we demonstrate that these benchmarks induce more fallacious inferences than they prevent. For valid causal inference, researchers are better off relying on the current state of knowledge in their respective fields.
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8. Short Take: Collecting Data from a Vulnerable Population during the COVID-19 Pandemic.
PMID:日期:2022-08Conducting field research with a vulnerable population is difficult under the most auspicious conditions, and these difficulties only increase during a pandemic. Here, we describe the practical challenges and ethical considerations surrounding a recent data collection effort with a high-risk population during the COVID-19 pandemic. We detail our strategies related to research design, site selection, and ethical review.
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9. Using Attributes of Survey Items to Predict Response Times May Benefit Survey Research.
PMID:日期:2022-05-20Researchers have become increasingly interested in response times to survey items as a measure of cognitive effort. We used machine learning to develop a prediction model of response times based on 41 attributes of survey items (e.g., question length, response format, linguistic features) collected in a large, general population sample. The developed algorithm can be used to derive reference values for expected response times for most commonly used survey items.
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10. Infrequent Identity Signals, Multiple Correspondence, and Detection Risks in Audit Correspondence Studies.
PMID:日期:2022-01-12Audit correspondence studies are field experiments that test for discriminatory behavior in active markets. Researchers measure discrimination by comparing how responsive individuals ("audited units") are to correspondences from different types of people. This paper elaborates on the tradeoffs researchers face between sending audited units only one correspondence and sending them multiple correspondences, especially when including less common identity signals in the correspondences. We argue that when researchers use audit correspondence studies to measure discrimination against individuals that infrequently interact with audited units, they raise the risk that these audited units become aware they are being studied or otherwise act differently. We also argue that sending multiple pieces of correspondence can increase detection risk. We present the result of an audit correspondence study that demonstrates how detection can occur for these reasons, leading to significantly attenuated (biased towards zero) estimates of discrimination.