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

SemesterSpring Semester 2020
LecturersS. Raeder
Periodicityyearly recurring course
Language of instructionEnglish
CommentIf 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.



Courses

NumberTitleHoursLecturers
364-1131-00 SMethods in Management Research: Quantitative Research - Multilevel and Structural Equation Modelling
Block course
Dates & Time: 28.04./29.04.2020 13.00 - 18.00
Dates & Time: 12.05./13.05.2020 13.00 - 17.00
Room: HG F 26.1
18s hrs
28.04.13:15-18:00HG F 26.1 »
29.04.13:15-18:00HG F 26.1 »
12.05.13:15-17:00HG F 26.1 »
13.05.13:15-17:00HG F 26.1 »
S. Raeder

Catalogue data

AbstractMultilevel 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).
Learning objectiveAfter 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.
ContentThe 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 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 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 the course. In two assignments, students find sample papers from their field of research applying each of the methods. Two assignments consist of an analysis with each of the methods. One assignment refers to designing a multilevel model within a 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 SPSS for multilevel modelling and Mplus for SEM.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersS. Raeder
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places20 at the most
Waiting listuntil 23.02.2020

Offered in

ProgrammeSectionType
Doctoral Department of Management, Technology, and EconomicsDoctoral Studies in ManagementWInformation