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Digital Mixed Content Analysis for the Study of Digital Platform Social Data: An Illustration from the Analysis of COVID-19 Risk Perception in the Italian Twittersphere. 数字平台社交数据研究的数字混合内容分析:以意大利twitter用户对COVID-19风险认知的分析为例
IF 3.9 1区 社会学 Q1 Decision Sciences Pub Date : 2023-04-01 Epub Date: 2022-01-21 DOI: 10.1177/15586898211067647
Gabriella Punziano, Ciro C De Falco, Domenico Trezza

The explosion of platform social data as digital secondary data, collectable through sophisticated and automatized query systems or algorithms, makes it possible to accumulate huge amounts of dense and miscellaneous data. The challenge for social researchers becomes how to extract meaning and not only trends in a quantitative and in a qualitative manner. Through the application of a digital mixed content analysis design, we present the potentiality of a hybrid digitalized approach to social content applied to a very tricky question: the recognition of risk perception during the first phase of COVID-19 in the Italian Twittersphere. The contribution of our article to mixed methods research consists in the extension of the existing definitions of content analysis as a mixed approach by combining hermeneutic and automated procedures, and by creating a design model with vast application potential, especially when applied to the digital scenario.

平台社交数据作为数字辅助数据的爆炸式增长,可以通过复杂和自动化的查询系统或算法收集,这使得积累大量密集而繁杂的数据成为可能。社会研究人员面临的挑战是如何提取意义,而不仅仅是以定量和定性的方式提取趋势。通过应用数字混合内容分析设计,我们展示了将混合数字化方法应用于社交内容的潜力,该方法适用于一个非常棘手的问题:意大利twitter圈在2019冠状病毒病第一阶段的风险感知识别。我们的文章对混合方法研究的贡献在于,通过结合解释学和自动化过程,并通过创建具有巨大应用潜力的设计模型,将内容分析的现有定义扩展为混合方法,特别是在应用于数字场景时。
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引用次数: 0
Leveraging the Power of Online Qualitative Inquiry in Mixed Methods Research: Novel Prospects and Challenges Amidst COVID-19. 在混合方法研究中利用在线定性调查的力量:新冠肺炎期间的新前景和挑战
IF 3.9 1区 社会学 Q1 Decision Sciences Pub Date : 2023-04-01 Epub Date: 2022-04-17 DOI: 10.1177/15586898221084504
Cara Meixner, Dan J Spitzner

The rare circumstances of COVID-19 have transformed research toward increased dependence on online spaces. This article examines related challenges and opportunities, focusing on how philosophical and ethical implications are differentially manifest amid crisis. Anchored by a transformative perspective, our framework recognizes heightened vulnerabilities amid COVID-19; it seeks dexterous strategies for implementing qualitative strands that adapt well to a virtual context while remaining philosophically grounded and ethical. Our findings highlight issues of unequal access, disembodiment, safety and vulnerability, researcher positionality, anonymity, and the delineation between private and public spaces; we also showcase an array of virtual qualitative methods. We conclude that ethical practice in the use of online methods is likely to be broadly applicable and adaptable to the mixed methods research community.

COVID-19的罕见情况使研究越来越依赖在线空间。本文探讨了相关的挑战和机遇,重点关注哲学和伦理影响如何在危机中不同地表现出来。我们的框架以变革视角为基础,认识到COVID-19期间脆弱性加剧;它寻求灵活的策略,以实现定性链,很好地适应虚拟环境,同时保持哲学基础和道德。我们的研究结果突出了不平等的访问、分离、安全和脆弱性、研究人员的定位、匿名性以及私人和公共空间之间的划分等问题;我们还展示了一系列虚拟定性方法。我们的结论是,使用在线方法的伦理实践可能广泛适用于混合方法研究界。
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引用次数: 0
In This Issue: Collaboration in Mixed Methods Research, Core-Periphery Perspective, Digital Content Mixed Analysis, Online Mixed Methods, Practical Utility of Mixed Methods and the Repertory Grid Technique 本文讨论:混合方法研究的合作、核心-外围视角、数字内容混合分析、在线混合方法、混合方法的实际应用和储备网格技术
IF 3.9 1区 社会学 Q1 Decision Sciences Pub Date : 2023-03-22 DOI: 10.1177/15586898231163433
José F. Molina-Azorín, T. Guetterman
of collaborative
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引用次数: 0
Reviewer Summary for Journal of Mixed Methods Research 《混合方法研究杂志》审稿人摘要
IF 3.9 1区 社会学 Q1 Decision Sciences Pub Date : 2023-03-22 DOI: 10.1177/15586898231162754
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引用次数: 0
Virtual Special Issue on “Collaborative Practices in Mixed Methods Research” “混合方法研究中的协同实践”虚拟特刊
IF 3.9 1区 社会学 Q1 Decision Sciences Pub Date : 2023-03-22 DOI: 10.1177/15586898231163434
M. Archibald
Mixed methods research (MMR) is inherently a boundary spanning practice (Archibald, 2016). Common to this understanding is that boundary spanning occurs over the methodological borderlines of qualitative and quantitative research approaches. Equally relevant is the boundary spanning that takes place within and between investigative teams, communities, stakeholder groups, and bodies of knowledge. Bridging across boundaries attends to the spirit of diversity characteristic of MMR (Greene, 2007), enables collective responses to complex social problems (Lucero et al., 2018; Poth, 2018), provides opportunities to approach persistent challenges from new angles (Johnson et al., 2007)
混合方法研究(MMR)本质上是一种跨越边界的实践(Archibald, 2016)。这种理解的共同点是,边界跨越发生在定性和定量研究方法的方法论边界上。同样重要的是调查小组、社区、利益相关者团体和知识体系内部和之间的边界跨越。跨越边界的桥梁关注了MMR的多样性精神(Greene, 2007),使集体应对复杂的社会问题成为可能(Lucero et al., 2018;Poth, 2018),提供了从新的角度处理持续挑战的机会(Johnson et al., 2007)。
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引用次数: 4
Media Review: Secondary Data in Mixed Methods Research 媒体评论:混合方法研究中的二手数据
IF 3.9 1区 社会学 Q1 Decision Sciences Pub Date : 2023-03-13 DOI: 10.1177/15586898231162761
Camille R. Quinn
Mixed methods research (
混合方法研究(
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引用次数: 1
Machine Learning Mixed Methods Text Analysis: An Illustration From Automated Scoring Models of Student Writing in Biology Education 机器学习混合方法文本分析——以生物教育学生写作自动评分模型为例
IF 3.9 1区 社会学 Q1 Decision Sciences Pub Date : 2023-02-03 DOI: 10.1177/15586898231153946
Kamali N. Sripathi, R. Moscarella, Matthew Steele, Rachel Yoho, Hyesun You, L. Prevost, M. Urban-Lurain, John E. Merrill, Kevin C. Haudek
Assessing student knowledge based on their writing using traditional qualitative methods is time-consuming. To improve speed and consistency of text analysis, we present our mixed methods development of a machine learning predictive model to analyze student writing. Our approach involves two stages: first an exploratory sequential design, and second an iterative complex design. We first trained our predictive model using qualitative coding of categories (ideas) in student writing. We next revised our model based on feedback from instructor-users. The model itself highlighted categories in need of revision. The contribution to mixed methods research lies in our innovative use of the machine learning tool as a rapid, consistent additional coder, and a resource that can predict codes for new student writing.
使用传统的定性方法根据学生的写作来评估他们的知识是非常耗时的。为了提高文本分析的速度和一致性,我们提出了混合方法开发的机器学习预测模型来分析学生的写作。我们的方法包括两个阶段:首先是探索性顺序设计,其次是迭代复杂设计。我们首先在学生写作中使用类别(想法)的定性编码来训练我们的预测模型。接下来,我们根据指导用户的反馈修改了我们的模型。该模型本身突出了需要修订的类别。对混合方法研究的贡献在于我们创新地使用机器学习工具作为快速,一致的额外编码器,以及可以预测新学生写作代码的资源。
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引用次数: 4
Telemedicine for Older Adults in Primary Care Practice: Multi-Phase Study Results 远程医疗在老年人初级保健实践:多阶段研究结果
IF 3.9 1区 社会学 Q1 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1370/afm.21.s1.3589
V. Khanassov, Laura Rojas-Rozo, Ana Gabriela Saavedra Ruiz, Marwa Ilali, M. Le Berre, I. Vedel
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引用次数: 0
Modeling Contingency in Veteran Community Reintegration: A Mixed Methods Approach. 退伍军人重返社区的权变建模:混合方法。
IF 3.9 1区 社会学 Q1 Decision Sciences Pub Date : 2023-01-01 Epub Date: 2022-02-24 DOI: 10.1177/15586898211059616
Nicholas A Rattray, Edward J Miech, Gala True, Diana Natividad, Brian Laws, Richard M Frankel, Marina Kukla

Researchers need approaches for analyzing complex phenomena when assessing contingency relationships where specific conditions explain an outcome only when combined with other conditions. Using a mixed methods design, we paired configurational methods and qualitative thematic analysis to model contingency in veteran community reintegration outcomes, identifying combinations of conditions that led to success or lack of success in community reintegration among US military veterans. This pairing allowed for modeling contingency at a detailed level beyond the capabilities of either approach alone. Our analysis revealed multiple contingent relationships at work in explaining reintegration, including social support, purpose, cultural adjustment, and military separation experiences. This study contributes to the field of mixed methods by pairing a mathematical cross-case method with a qualitative method to model contingency.

在评估或然关系时,研究人员需要分析复杂现象的方法;在或然关系中,特定条件只有在与其他条件相结合时才能解释结果。我们采用混合方法设计,将配置方法和定性主题分析法结合起来,对退伍军人重返社区结果中的或然性进行建模,确定导致美军退伍军人重返社区成功或不成功的条件组合。这种配对方法能够在详细程度上对偶然性进行建模,超出了单独使用其中一种方法的能力。我们的分析揭示了在解释重返社会过程中起作用的多种或然关系,包括社会支持、目的、文化适应和军队离职经历。本研究将数学跨案例方法与定性方法结合起来,建立或然性模型,为混合方法领域做出了贡献。
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引用次数: 0
In This Issue: Quality in Mixed Methods Studies and Reviews, Contingency and Configurational Comparative Methods, and Retroductive Theorizing and Critical Realism in Mixed Methods Research 本期:混合方法研究与评论中的质量,偶然性与配置性比较方法,以及混合方法研究中的回溯理论化与批判现实主义
IF 3.9 1区 社会学 Q1 Decision Sciences Pub Date : 2022-12-09 DOI: 10.1177/15586898221143555
José F. Molina-Azorín, T. Guetterman
This January 2023 issue of the Journal of Mixed Methods Research (JMMR) includes an editorial, 5 articles, and 2 media reviews. In the editorial, Guetterman et al. (2023) discuss the issue of quality in mixed methods research. Major developments are reviewed and some remaining gaps and needs are identified. Quality is challenging given different use of terms. For example, quality, validity, and legitimation are often used interchangeably. Quality is further complicated by concerns that research is too contextual and discipline specific to have common quality criteria. However, common criteria are needed, and we concluded with a call to the field to develop core quality reporting criteria for mixed methods research as a way of reaching consensus. Regarding the 5 articles published in this issue, 3 manuscripts focus on quality in mixed methods research. Specifically, in the first article, Hirose and Creswell (2023), with affiliations in psychology and education, proposed 6 core quality criteria: a rationale for mixed methods; quantitative, qualitative, and mixed methods questions or aims; separate quantitative and qualitative data; a mixed methods design and a diagram; integration in a joint display; and metainferences and value from the integration analysis. The authors provided a specific case illustration of these criteria, examining their application in an empirical study. In the second article, Perez et al. (2023), with affiliations in educational psychology and health sciences, also focused on quality standards in mixed methods research, exploring and extending the legitimation typology developed by Onwuegbuzie and Johnson (2006). Specifically, the purpose of this article is to examine how researchers are using this typology in their mixed methods studies and to extend and refine the typology for a better use in mixed methods research.
2023年1月出版的《混合方法研究杂志》(JMMR)包括一篇社论、5篇文章和2篇媒体评论。在社论中,Guetterman等人(2023)讨论了混合方法研究中的质量问题。审查了主要的发展情况,并确定了一些剩余的差距和需要。考虑到不同的术语使用,质量是具有挑战性的。例如,质量、有效性和合法性经常互换使用。由于担心研究过于背景化和学科特定,无法制定共同的质量标准,质量变得更加复杂。然而,需要共同的标准,我们最后呼吁该领域为混合方法研究制定核心质量报告标准,以此达成共识。关于本期发表的5篇文章,有3篇关注混合方法研究中的质量。具体而言,在第一篇文章中,Hirose和Creswell(2023)提出了6个核心质量标准:混合方法的基本原理;定量、定性和混合方法问题或目标;分开的定量和定性数据;混合方法设计和图表;在联合显示器中集成;以及综合分析的元推论和价值。作者提供了这些标准的具体案例说明,并在实证研究中检验了它们的应用。在第二篇文章中,Perez等人(2023),隶属于教育心理学和健康科学,也关注混合方法研究中的质量标准,探索和扩展了Onwuegbuzie和Johnson(2006)开发的合法化类型学。具体而言,本文的目的是检验研究人员如何在混合方法研究中使用这种类型学,并扩展和完善类型学,以便更好地用于混合方法研究。
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Journal of Mixed Methods Research
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