Qualitative Text Analysis: A Systematic Approach

Kuckartz, Udo

doi:10.1007/978-3-030-15636-7_8

Cited by 369 publications

(251 citation statements)

References 6 publications

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“…Based on the given segments and their deductive coding for modeling and standard applications, an inductive category formation was carried out (Kuckartz, 2019;Mayring, 2015, p. 374 ff.). In the first coding cycle, the text segments of interest-fostering reflections were analyzed, and their special features were recorded in keywords as provisional categories.…”

Section: Methods For Developing Categoriesmentioning

confidence: 99%

Quality matters: how reflecting on the utility value of mathematics affects future teachers’ interest

Liebendörfer

Schukajlow

2020

Educ Stud Math

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Interest is a key motivational variable in higher mathematics education, yet there is a lack of theory-based interventions that are designed to increase interest. On the basis of the expectancy-value theory of achievement motivation, we investigated how reflecting on the utility value of mathematics affects interest. The current research was aimed at identifying effects and key characteristics of interest-fostering reflections. In a randomized controlled trial, N = 58 German preservice teachers were asked either to reflect on the utility value of mathematics or write a mathematical text. Interest was measured before and after the intervention. Unlike findings from prior studies, the path analysis did not reveal any effect of these reflections on interest. However, the quality of the reflections predicted future interest in addition to prior interest, indicating possible benefits of utility-value interventions. To better understand the underlying relation between reflections and interest, we performed an in-depth analysis of the quality of students’ reflections and presented characteristics of interest-fostering reflections.

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Section: Methods For Developing Categoriesmentioning

confidence: 99%

Quality matters: how reflecting on the utility value of mathematics affects future teachers’ interest

Liebendörfer

Schukajlow

2020

Educ Stud Math

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“…The questions were designed as open questions. Furthermore, control questions were included to confirm what had been said so far, as well as questions to maintain the flow of the conversation [35]. The first version of the interview guide was pretested by JAS with an expert on RDs and revised with only minor changes.…”

Section: Instrumentmentioning

confidence: 99%

“…all identifying data were removed from the transcripts. The actual transcription was literal, ignoring dialects, non-verbal expressions or special emphases and slightly smoothing the language [35].…”

Section: Data Analysis and Processingmentioning

confidence: 99%

Interviews with experts in rare diseases for the development of clinical decision support system software - a qualitative study

Schaaf

Prokosch

Boeker

et al. 2020

BMC Med Inform Decis Mak

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Background Patients with rare diseases (RDs) are often diagnosed too late or not at all. Clinical decision support systems (CDSSs) could support the diagnosis in RDs. The MIRACUM (Medical Informatics in Research and Medicine) consortium, which is one of four funded consortia in the German Medical Informatics Initiative, will develop a CDSS for RDs based on distributed clinical data from ten university hospitals. This qualitative study aims to investigate (1) the relevant organizational conditions for the operation of a CDSS for RDs when diagnose patients (e.g. the diagnosis workflow), (2) which data is necessary for decision support, and (3) the appropriate user group for such a CDSS. Methods Interviews were carried out with RDs experts. Participants were recruited from staff physicians at the Rare Disease Centers (RDCs) at the MIRACUM locations, which offer diagnosis and treatment of RDs. An interview guide was developed with a category-guided deductive approach. The interviews were recorded on an audio device and then transcribed into written form. We continued data collection until all interviews were completed. Afterwards, data analysis was performed using Mayring’s qualitative content analysis approach. Results A total of seven experts were included in the study. The results show that medical center guides and physicians from RDC B-centers (with a focus on different RDs) are involved in the diagnostic process. Furthermore, interdisciplinary case discussions between physicians are conducted. The experts explained that RDs exist which cannot be fully differentiated, but rather described only by their overall symptoms or findings: diagnosis is dependent on the disease or disease group. At the end of the diagnostic process, most centers prepare a summary of the patient case. Furthermore, the experts considered both physicians and experts from the B-centers to be potential users of a CDSS. The experts also have different experiences with CDSS for RDs. Conclusions This qualitative study is a first step towards establishing the requirements for the development of a CDSS for RDs. Further research is necessary to create solutions by also including the experts on RDs.

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“…It was explicitly stated that additional questions were permitted to extract more information on a topic through further inquiry. Supporting questions were also added to maintain the flow of the conversation, as indicated [35].…”

Section: Instrumentmentioning

confidence: 99%

Interviews with experts in Rare Diseases for the development of Clinical Decision Support System software - a qualitative study

Schaaf

Prokosch

Boeker

et al. 2020

Preprint

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Background Patients with a rare disease (RD) are often diagnosed too late or not at all. Clinical decision support systems (CDSSs) could support the diagnostic process in rare diseases (RDs). The MIRACUM (Medical Informatics in Research and Medicine) consortium, which is one of four funded consortia in the German Medical Informatics Initiative, will develop a CDSS for RDs based on distributed clinical data from ten university hospitals. This qualitative study aims to investigate (1) the relevant organizational conditions for the operation of a CDSS for RDs, (2) which data is necessary for decision support, and (3) the appropriate user group for such a CDSS. Methods Interviews were carried out with RDs experts. Participants were recruited from staff physicians at the Rare Disease Centers (RDCs) at the MIRACUM locations, which offer diagnosis and treatment of RDs. An interview guide was developed with a category-guided deductive approach. The interviews were recorded on an audio device and then transcribed into written form. We continued data collection until all interviews were completed. Afterwards, data analysis was performed using Mayring’s qualitative content analysis approach. Results A total of seven experts were included in the study, from seven of the eight MIRACUM locations which have established an RDC. The results show that administrative staff and physicians from RDC B-centers, representing different medical specialties, are involved in the diagnostic process. The experts cited various software programs used for diagnostic support and considered both physicians and experts from the B-centers to be potential users of a CDSS. Furthermore, the experts explained that RDs exist which cannot be fully differentiated, but rather described only by their overall symptoms or findings: diagnosis is dependent on the disease or disease group. At the end of the diagnostic process, most centers prepare a summary of the patient case. Conclusions This qualitative study is a first step towards establishing the requirements for the development of a CDSS for RDs. However, further research is necessary to create solutions by also including the experts on RDs.

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Qualitative Text Analysis: A Systematic Approach

Cited by 369 publications

References 6 publications

Quality matters: how reflecting on the utility value of mathematics affects future teachers’ interest

Quality matters: how reflecting on the utility value of mathematics affects future teachers’ interest

Interviews with experts in rare diseases for the development of clinical decision support system software - a qualitative study

Interviews with experts in Rare Diseases for the development of Clinical Decision Support System software - a qualitative study

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