Parsing the Continuum: Manual Segmentation of Monologic Data

Zörgő, Szilvia; Brohinsky, Jais

doi:10.31234/osf.io/79zxw

Cited by 7 publications

(9 citation statements)

References 17 publications

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“…Succinctly 7 , ENA produces a matrix with code co-occurrences and calculates the co-occurrence frequency of each unique pair of codes within a given segment of data. Segments are designated by defining utterances (smallest codable pieces of data) and creating groupings of those utterances to provide meaningful context, that is, “relational context” 24 . ENA uses two parameters to operationalize relational context: conversation and stanza window.…”

Section: Methodsmentioning

confidence: 99%

A feasibility study for a unified, multimodal analysis of online information foraging in health-related topics

Zörgő,

Peters,

Jeney

et al. 2024

Open Res Europe

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Background Digital health literacy (DHL) is the ability to find, understand, and appraise online health-related information, as well as apply it to health behavior. It has become a core competence for navigating online information and health service environments. DHL involves solving ill-structured problems, where the problem and its solution are not clearcut and may have no single answer, such as in the process of sensemaking. We employ and expand on information foraging theory to address how experts and novices in information retrieval perform a search task. Our overarching aim is to pinpoint best practices and pitfalls in understanding and appraising health-related information online to develop a digital intervention to increase DHL and critical thinking. Methods In this feasibility study, we recruited a total of twenty participants for our expert and novice subsamples. We collected sociodemographic data with a self-developed survey, video data through an observation protocol of a 10-minute search task, as well as audio-video data via a retrospective think-aloud. The three, multimodal data streams were transcribed and aligned. Codes were developed inductively in several iterations, then applied deductively to the entire dataset. Tabularized, coded and segmented qualitative data were used to create various quantitative models, which demonstrate viability for the qualitative and statistical comparison of our two subsamples. Results Data were visualized with Epistemic Network Analysis to analyze code co-occurrences in the three aligned data streams, and with Qualitative/Unified Exploration of State Transitions to examine the order in which participants in our two subsamples encountered online content. Conclusions This paper describes our methods and planned analyses elaborated with mock figures. Quantifying qualitative data, aligning data streams, and representing all information in a tabularized dataset allows us to group data according to various participant attributes and employ data visualization techniques to pinpoint patterns therein.

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Section: Methodsmentioning

confidence: 99%

A feasibility study for a unified, multimodal analysis of online information foraging in health-related topics

Zörgő,

Peters,

Jeney

et al. 2024

Open Res Europe

Self Cite

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“…Table 3 contains the narrative foci coding scheme. These narrative foci served as a higher form of segmentation that provided meaningful context to code co-occurrences [16].…”

Section: Methodsmentioning

confidence: 99%

“…Another limitation of our study concerned the use of categorical values (narrative foci codes) to delimit data segments. Although this technique is a viable option to group lines for code co-occurrence computation [16], there are challenges involved, such as how to address multiple categorical values exhibited in a single line of data (e.g., the sentence contains two narrative foci: Self and Others). Our coding decision was to employ chronological order, that is, apply the narrative foci code that appeared first in the sentence.…”

Section: Limitationsmentioning

confidence: 99%

Interaction of Diagnostic Criteria in the Narratives of Patients with Borderline Personality Disorder

Kovacs¹,

Zörgő²,

Mulholland³

et al. 2023

Preprint

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The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders requires the presence of at least five out of nine diagnostic criteria in order to diagnose borderline personality disorder. However, the manifestation, perception, and interaction of the diagnostic criteria differs in patients. The objective of this study is to describe symptom co-occurrences in the narratives of persons with borderline personality disorder. We utilized transcripts of interviews with borderline patients, which were coded by two raters, employing the diagnostic criteria as codes. We examined narratives on an individual level and also across patients according to the subject of the discussion (interviewee perceptions of self, others, and how others see them). We employed Epistemic Network Analysis to visualize the interaction of diagnostic criteria. Our study serves as a pilot for further research on mapping manifestations of diagnostic criteria of various mental disorders within patient lived experience. By encour-aging future research employing this study design, our pilot aims to contribute to more personalized health care.

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“…Succinctly 5 , ENA produces a matrix with code co-occurrences and calculates the cooccurrence frequency of each unique pair of codes within a given segment of data. Segments are designated by defining utterances (smallest codable pieces of data) and creating groupings of those utterances to provide meaningful context, that is, "relational context" [24]. ENA uses two parameters to operationalize relational context: conversation and stanza window.…”

Section: Novice Mean Network Comparison Plot Expert Mean Networkmentioning

confidence: 99%

A feasibility study for a unified, multimodal analysis of online information foraging

Zörgő¹,

Peters²,

Jeney³

et al. 2023

Preprint

View full text Add to dashboard Cite

Digital health literacy (DHL) is the ability to find, understand, and appraise online health-related information, as well as apply it to health behavior. It has become a core competence for navigating online information and health service environments. DHL involves solving ill-structured problems, where the problem and its solution are not clearcut and may have no single answer, such as in the process of sensemaking. We employ and expand on information foraging theory to address how experts and novices in information retrieval perform a search task. Our overarching aim is to pinpoint best practices and pitfalls in understanding and appraising health-related information online to develop a digital intervention to increase DHL and critical thinking. In this feasibility study, we recruited a total of twenty participants for our expert and novice subsamples. We collected sociodemographic data with a self-developed survey, video data through an observation protocol of a 10-minute search task, as well as audio-video data via a retrospective think-aloud. The three, multimodal data streams were transcribed and aligned. Codes were developed inductively in several iterations, then applied deductively to the entire dataset. Tabularized, coded and segmented qualitative data were used to create various quantitative models, which demonstrate viability for the qualitative and statistical comparison of our two subsamples. This paper describes our methods and planned analyses elaborated with mock figures.

show abstract

Parsing the Continuum: Manual Segmentation of Monologic Data

Cited by 7 publications

References 17 publications

A feasibility study for a unified, multimodal analysis of online information foraging in health-related topics

A feasibility study for a unified, multimodal analysis of online information foraging in health-related topics

Interaction of Diagnostic Criteria in the Narratives of Patients with Borderline Personality Disorder

A feasibility study for a unified, multimodal analysis of online information foraging

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