Structural equation modelling in psychology 1600-SZD-SPEC-MRS-PS
The aim of the course is to familiarize the participants with a variety of structural equation models (SEM). More specifically, the following topics will be discussed during the course, starting with relatively simple ones and progressing towards more advanced ones: I. Path analysisII. Confirmatory Factor Analysis (First and Second Order) III. Confirmatory Factor Analysis with invariance analysis IV. Multigroup Confirmatory Factor Analysis V. Basic SEM models with observable variables VI. SEM models with latent variables VII. Moderation and mediation in SEM. Additional “small topics” such as e.g., randomness of missing data (MCAR, MAR), means of data replacement, bootstrapping, and controlling for sociodemographic variables in SEM models might be added if possible within given time frames. This course is designed as an introduction to a more advanced course entitled “Methodology of longitudinal studies”.
Type of course
Course coordinators
Learning outcomes
Knowledge | The graduate knows and understands:
WG_01 - to the extent necessary for existing paradigms to be revised - a worldwide body of work, covering theoretical foundations as well as general and selected specific issues - relevant to a particular discipline
within the social sciences
WG_02 - the main development trends in the disciplines of the social sciences in which the education is provided
WG_03 - scientific research methodology in the field of the social sciences
WK_01 - fundamental dilemmas of modern civilisation from the perspective of the social sciences
Skills | The graduate is able to:
UK_05 - speaking a foreign language at B2 level of the Common European Framework of Reference for Languages using the professional terminology specific to the discipline within the social sciences, to the extent enabling participation in an international scientific and professional environment
Social competences | The graduate is ready to
KO_01 - fulfilling the social obligations of researchers and creators
KO_02 - fulfilling social obligations and taking actions in the public interest, in particular in initiating actions in the public interest
KO_03 - think and acting in an entrepreneurial manner
And others: As a result of attending the proposed course, PhD students will be able to :•understand, characterize and explain basic concepts underneath SEM •distinguish between various types of SEM models •being able to apply an adequate SEM model to the given research problem •analyze the data within the SEM framework using statistical software (SPSS, Amos, R) •evaluate and describe the results in the impacted alike publication form
Assessment criteria
Description of requirements related to participation in classes, including the
permitted number of explained absences: • requirements at the entrance: knowledge of English, basic idea of statistical software (SPSS, Amos and R) highly recommended •Permitted number of explained absences: 1 meeting out of 5
Principles for passing the classes and the subject (including resit session): active participation in the course & preparation of one larger project at the end of the course
Methods for the verification of learning outcomes: preparation of a one larger project which will require data analysis using the techniques taught during the course with adequate description of the results in the form of a results chapter (such the ones which are usually prepared for scientific data dissemination in journals with impact factor)
Evaluation criteria: adequacy of choice of structural equation model to the given problem, correctness of statistical analysis, correctness of results interpretation, clarity and quality of results description
Practical placement
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Bibliography
(1) Byrne, B. M. (2016). Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming. Routledge: New York.
(2) Byrne, B. M. (2004). Testing for multigroup invariance using AMOS graphics: A road less traveled. Structural equation modeling, 11(2), 272-300
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: