364-1131-00L Methods in Management Research: Quantitative Research - Multilevel and Structural Equation Modelling

Semester	Frühjahrssemester 2023
Dozierende
Periodizität	jährlich wiederkehrende Veranstaltung
Lehrveranstaltung	Findet dieses Semester nicht statt.
Lehrsprache	Englisch
Kommentar	If you have already successfully completed "364-1020-04L Methods in Management Research: Quantitative Research - Multilevel Analysis" and / or "364-1020-05L Methods in Management Research: Quantitative Research - Structural Equation Modelling", then you will not be permitted to attend this course.

Lehrveranstaltungen

Nummer	Titel	Umfang		Dozierende
364-1131-00 S	Methods in Management Research: Quantitative Research - Multilevel and Structural Equation Modelling Findet dieses Semester nicht statt. Block course	18s Std.

Katalogdaten

Kurzbeschreibung

Multilevel modelling and structural equation modelling are two regression-based methods of data analysis that are increasingly used in applied fields of Management and Organizational Behaviour. The course provides basic knowledge about both methods (e.g., design, analysis, reporting) and explains more advanced models (e.g., moderation, mediation, longitudinal).

Lernziel

After this course, students will be able to:
- design a multilevel model and a structural equations model,
- calculate a multilevel model and a structural equations model,
- interpret model results,
- report model results,
- assess models reported in existing research.

Inhalt

The course provides skills and knowledge for the design and analysis of multilevel models and structural equation models (SEM). Multilevel analysis is required for data collected in clustered samples for which sampling decisions were taken in several steps (e.g. first choosing firms, then employees in firms). Structural equation modeling (SEM) is a technique to build models and test causal relationships including latent variables, several outcome variables and intervening variables.

The course teaches basic skills and advanced models for both methods. This allows students to compare both methods and their use and to choose the appropriate method for their own research. The basic knowledge in multilevel modelling covers: building the statistical multilevel model, calculating a multilevel model in R or SPSS, reporting of results and required sample size. The basic knowledge in SEM include: model identification and model fit, measurement model and structural model, calculating a SEM in R or Mplus and reporting of results.

Advanced topics for both methods refer to moderation (i.e., interaction effects), mediation (i.e., intervening variables) and longitudinal analysis with three or more measurement waves. Comparing options provided by the different methods allows us to understand strengths and weaknesses of both methods in relation to research goals.

Students work on six assignments during and one after the course. In two assignments, students find sample papers from their field of research applying each method. Two assignments consist of an analysis with each method. Two assignments refers to designing a model for each method within the student’s own field of research. The final assignment requires students to report an analysis for presentation in a scientific paper. Students can use their own data for the assignments requiring data analysis.

Basic knowledge in regression analysis is necessary for following the course. The course uses R or SPSS for multilevel modelling and R or Mplus for SEM.

Kompetenzen

Fachspezifische Kompetenzen	Konzepte und Theorien	gefördert
	Verfahren und Technologien	geprüft
Methodenspezifische Kompetenzen	Analytische Kompetenzen	geprüft
	Entscheidungsfindung	geprüft
	Medien und digitale Technologien	gefördert
	Problemlösung	geprüft
	Projektmanagement	gefördert
Soziale Kompetenzen	Kommunikation	geprüft
	Kooperation und Teamarbeit	gefördert
	Kundenorientierung	gefördert
	Menschenführung und Verantwortung	gefördert
	Selbstdarstellung und soziale Einflussnahme	gefördert
	Sensibilität für Vielfalt	gefördert
	Verhandlung	gefördert
Persönliche Kompetenzen	Anpassung und Flexibilität	gefördert
	Kreatives Denken	gefördert
	Kritisches Denken	gefördert
	Integrität und Arbeitsethik	geprüft
	Selbstbewusstsein und Selbstreflexion	gefördert
	Selbststeuerung und Selbstmanagement	gefördert

Leistungskontrolle

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte	2 KP
Prüfende	S. Raeder
Form	unbenotete Semesterleistung
Prüfungssprache	Englisch
Repetition	Repetition nur nach erneuter Belegung der Lerneinheit möglich.

Lernmaterialien

Keine öffentlichen Lernmaterialien verfügbar.
Es werden nur die öffentlichen Lernmaterialien aufgeführt.

Gruppen

Keine Informationen zu Gruppen vorhanden.

Einschränkungen

Plätze	Maximal 20
Warteliste	Bis 26.02.2023

Angeboten in

Studiengang	Bereich	Typ
Doktorat Management, Technologie und Ökonomie	Management	W