Seminar: 68820 Introduction to manual quantitative content analysis - Details

Seminar: 68820 Introduction to manual quantitative content analysis - Details

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General information

Course name Seminar: 68820 Introduction to manual quantitative content analysis
Subtitle
Course number 68820
Semester SoSe 24
Current number of participants 13
expected number of participants 15
Home institute Graduiertenkolleg Digital Platforms Ecosystems (DPE)
participating institutes Graduiertenzentrum, Lehrstuhl für Kommunikationswissenschaft
Courses type Seminar in category Lehre (ohne Prüfung)
First date Friday, 03.05.2024 09:00 - 12:00 Uhr, Room: (HK 16 // 117)
Type/Form
Participants
PhD students of all faculties
Pre-requisites
No prerequisites
Performance record
Participants will have to hand in a written assignment if they wish to obtain the certificate
SWS
2
Qualifikationsziele
The course begins by covering the fundamentals of the methodology, while also addressing potential challenges and pitfalls. In the second part, students engage in practical exercises where they apply content analysis techniques firsthand.
Workload
Written assignment (for those who want to get credits for their Phd curriculum)
Miscellanea
PhD students of all disciplines are welcome to join. Please subscribe beforehand by mailing to dpe@uni-passau.de

In case of too many interested participants, we will prioritize DPE doctoral students.

Rooms and times

(HK 16 // 117)
Friday, 03.05.2024, Friday, 17.05.2024 09:00 - 12:00
No room preference
Friday, 28.06.2024 09:00 - 12:00 Uhr
(HK 16 //117)
Friday, 05.07.2024 09:00 - 12:00

Comment/Description

At the heart of content analysis lies the coding process, wherein researchers adhere to a set of standardized instructions to identify specific features within texts and record them accordingly. Executing a successful content analysis requires careful attention to unitization (segmenting texts for analysis), sampling (selecting appropriate units for analysis), reliability (ensuring consistent coding across researchers), and validity (utilizing a coding scheme that accurately captures the phenomena under study) (see: https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118901731.iecrm0045).

The course offers a comprehensive overview of manual, standardized, quantitative content analysis methodology. This approach allows for the systematic extraction of quantitative information from diverse messages or texts. Originally developed within communication science, content analysis serves as a powerful tool to address a range of inquiries. For instance, it can shed light on how platform companies are portrayed in different media outlets, the perceptions of platform companies or their leaders within social media discourse, and the prevalent narratives communicated by corporations.

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.