Workshop: "Cluster Analysis and Latent Class Analysis" (04.12.2023, 09.00 a.m. to 05.00 p.m. (s.t.) & 05.12.2023, 12.00 a.m. to 06.00 p.m. (s.t.))

This workshop is organised by BAGSS.

Short Outline:

This course offers a practical introduction to identifying groups in your data.
When confronted with large datasets containing numerous variables, casual browsing or superficial data examination will be insufficient for discovering similar cases that may form groups.
Cluster analysis and latent class analysis will be helpful in these cases.

Cluster analysis is a bottom-up approach, which employs different algorithms to identify similar
cases within the data, such as individuals or organizations, resulting in distinct clusters. Cluster
analysis is a type of unsupervised machine learning.
Latent class analysis follows a top-down approach by assuming a probabilistic model to explain
group membership. It utilizes the data distribution and allows for the inclusion of covariates,
providing goodness of fit measures that facilitate the comparison of different solutions.
We will cover hierarchical cluster analysis, non-hierarchical clustering, fuzzy clustering, latent
class analysis, as well as latent profile analysis and longitudinal applications.
Upon completion of this course, participants will have a good understanding of the possibilities
and challenges of cluster analysis and latent class analysis.

Prerequisites:

Participants should be familiar with multivariate statistics. If you have never been exposed to ttests, ANOVA, and (OLS) regression, this is not the course for you. We will use the software R
and R Studio for demos and short exercises. While some familiarity with R is useful, this is not
strictly necessary if you have some knowledge of working with other statistical software packages using syntax (e.g., Mplus, Stata, etc.) and are willing to learn. If you have never used R and R Studio or have not used them for some time, please install/update them and have a little look around before the first day of the course.
You will find some helpful materials here: https://stats.idre.ucla.edu/r/

Maximum number of participants: 16

Date & time: Monday, 04 December, 2023, 09.00 a.m. to 05.00 p.m. (s.t.)
                      Tuesday, 05 December, 2023, 12.00 a.m. to 06.00 p.m. (s.t.)

Location: BAGSS, Feldkirchenstraße 21, 96050 Bamberg, Room FG1/00.06

Lecturer: Professor Dr Robin Samuel, University of Luxembourg

Robin Samuel has been an Associate Professor at the Department of Social Sciences at the University of Luxembourg since 2016, where he was appointed Head of the Centre for Childhood
and Youth Research in 2020. His research is mainly concerned with the collection and analysis
of large data sets. In some projects, he also applies experimental designs and qualitative methods.
He is currently investigating the appropriateness of certain statistical models to study social
inequalities in a range of health outcomes. His substantive research interests include social inequality, work, health, well-being, and sustainability, often with a focus on young people.

Course units: 16

Registration: Please register via this form by November 08, 2023.

Workshop: "Mixed Methods for Social Science Research" (11.12.2023, 09.00 a.m. – 05.00 p.m. (s.t.))

This workshop is organised by BAGSS.

Short Outline:

This course deals with mixed-methods in the social sciences. You will discuss the understanding of combining qualitative and quantitative methods. The course aims to reflect the diversity of mixed-methods studies in the discipline to accommodate participants' projects (to the extent it is possible in a workshop format).
The goal of the course is to develop an idea about the varieties in which mixed-methods studies can be done. We discuss the unique advantages as well as the methodological and practical challenges one may confront in mixed-method research.
Topics include the variety of mixed-method designs that are available; the use of concepts in the qualitative and quantitative analysis, cases and case selection; the compatibility of theoretical expectations in the qualitative and quantitative analysis. The discussions are illustrated with examples from different fields. By the end of the course, participants will have a basis for developing their own mixed-methods study, and to critically evaluate published multi-method research studies.

Maximum number of participants: 16

Date & time: Monday, December 11, 2023, 09.00 a.m. to 05.00 p.m. (s.t.)

Location: BAGSS, Feldkirchenstraße 21, 96052 Bamberg, Room FG1/00.06

Lecturer: Professor Ingo Rohlfing, University of Passau

Ingo Rohlfing is Professor for Methods of Empirical Social Research at the University of Passau. Since receiving his doctorate in Political Science from the Jacobs University Bremen in 2007, he has held academic positions in the field of social science methodology. His main interests in research and teaching are social science methods with a focus on causal inference, qualitative and multimethod research as well as research transparency and reproducibility.

Course units: 8

Registration: Please register via this form by November 29, 2023.

Workshop: "Wissenschaftliche Aufsätze schreiben – die eigene Forschung nachvollziehbar machen" (23.02.2024, 9:00 bis 17:00 Uhr)

Dieser Kurs wird gemeinsam mit dem LIfBi angeboten.

Inhalte:

Damit die eigene Forschung in der Fachcommunity wahrgenommen und gewürdigt wird, braucht es mehr als fachliche Qualität. Entscheidend ist die Präsentation in Fachzeitschriften und Sammelbänden – in Form von wissenschaftlichen Aufsätzen. Ein Aufsatz, der gerne gelesen wird, orientiert sich an den Bedürfnissen der Leser:innen. Diesem Grundgedanken folgend, zeigt der Workshop Wege zu einem guten Titel und wie das Schreiben eines Abstracts als Planungstool genutzt werden kann. Er vermittelt, wie eine klare Struktur auf Text-, Absatz- und Satzebene entsteht, die das Verständnis auf Leserseite sichert. Außerdem wird auf die geeignete Darstellung von Forschungsergebnissen in Grafiken und Tabellen eingegangen.

Die Arbeitssprache des Workshops ist deutsch, die Inhalte können auch auf englischsprachige Artikel übertragen werden.

Ablauf:

• Zweck wissenschaftlicher Artikel
• Titel und Abstract schreiben
• Die Struktur eines guten Artikels
• Die Einleitung: Interesse wecken, fachliche Qualität zeigen
• Sprachliche Gestaltung des Artikels
• Umgang mit Feedback

Methode:

• Reflexion in Partner- und Gruppenübungen
• Schreibübungen zum eigenen Thema
• Gemeinsames Besprechen von Beispielen
• Kurze Input-Sequenzen

Lernziele:

• Die eigene Forschung für einen wissenschaftlichen Artikel aufbereiten
• Abstract als Planungstool verstehen
• Den Artikel sinnvoll strukturieren
• Treffende, klare Formulierungen finden
• Feedback richtig nutzen

Voraussetzungen für die Teilnahme: Idee für eigenen wissenschaftlichen Artikel

Maximale Teilnehmerzahl: 12 Personen

Zielgruppe: Promovierende der Geistes- und Sozialwisssenschaften

Termin:  23.02.2024, 9:00 bis 17:00 Uhr

Arbeitseinheiten: 8 AE

Ort: wird noch bekanntgegeben

Leitung: Alisa Müller, M.A.

Alisa Müller arbeitet in Nürnberg als Redakteurin und seit zehn Jahren als freie Journalistin für verschiedene Printmedien. Sie hat in der slavischen Sprachwissenschaft an der Universität Bamberg promoviert.

Anmeldung: Bitte melden Sie sich bis zum 09.02.2024 über dieses Formular an.