Prof. Dr. Marit Kristine List

Portrait
21335 Lüneburg, Universitätsallee 1, C40.544
Fon +49.4131.677-2295 (Sekr.), marit.list@leuphana.de
Junior Professor, Juniorprofessur für Methoden der empirischen Bildungsforschung

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Publications

Journal contributions

  1. An Experimental Approach to Assess the Impact of Three Environmental Knowledge Types on Food-Related Behavioral Intentions and Choices
    Daria Mundt (Author) , Marit Kristine List (Author) , Florian Scharf (Author) , Mirjam Ebersbach (Author) , 24.02.2026 , in: Environmental Psychology Open, 30, 1 , 37 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  2. Spezifizierung des COACTIV-Modells der professionellen Handlungskompetenz von Lehrkräften für den Bereich Bildung für nachhaltige Entwicklung
    Marit Kristine List (Author) , Stephan Schönenberger (Author) , Johannes Hartig (Author) , 01.02.2026 , in: Zeitschrift fur Erziehungswissenschaft, 29, 1 , p. 229–250 , 22 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  3. Still green at fifteen? Investigating environmental awareness of the PISA 2015 population: Cross-national differences and correlates
    Marit Kristine List (Author) , Fabian T.C. Schmidt (Author) , Daria Mundt (Author) , Dennis Föste-Eggers (Author) , 01.04.2020 , in: Sustainability (Switzerland), 12, 7 , 20 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  4. Teachers’ Conversational Style and Children’s Language Development in German Childcare Centers: A Culture-Sensitive Intervention
    Lisa Schröder (Author) , Anna Dintsioudi (Author) , Marit Kristine List (Author) , Heidi Keller (Author) , 01.02.2019 , in: Journal of Cross-Cultural Psychology, 50, 2 , p. 164-184 , 21 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  5. A Semiparametric Approach for Modeling Not-Reached Items
    Marit Kristine List (Author) , Olaf Köller (Author) , Gabriel Nagy (Author) , 01.02.2019 , in: Educational and Psychological Measurement, 79, 1 , p. 170-199 , 30 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

View all publications

Activities

  1. Entwicklungslinien der empirischen Forschung zur Bildung für Nachhaltige Entwicklung in Deutschland​: Erste Ergebnisse aus einem Scoping Review
    Nina Roczen (presenter) , Johannes Hartig (Coauthor) , Ronja Lämmchen (presenter) , Marit Kristine List (Coauthor) , Cornelia Gräsel (Coauthor)
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    Activity: Conference Presentations › Research

  2. Krisenerleben im digitalen Raum: Netzwerkanalyse psychischer Belastungen bei Nutzer:innen von krisenchat Ukrainian
    Ekaterina Reymanova (Coauthor) , Richard Wundrack (Coauthor) , Marit Kristine List (Coauthor) , Tim Kaiser (Coauthor) , Eva-Lotta Brakemeier (Coauthor)
    →

    Activity: Conference Presentations › Research

  3. Angst, Depression, und Trauma im Schatten des Krieges: Chat-basierte psychosoziale Unterstützung für Ukrainer*innen.
    Ekaterina Reymanova (presenter) , Marit Kristine List (Coauthor) , Richard Wundrack (Coauthor) , Eva-Lotta Brakemeier (Coauthor)
    →

    Activity: Conference Presentations › Transfer

  4. Measuring Criteria for Instructional Effectiveness: Designing Instruction-Sensitive Test Items
    Alexander Naumann (Speaker) , Marit Kristine List (Speaker) , Stephanie Leininger (Speaker) , Stephan Schönenberger (Speaker) , Jan Hochweber (Speaker) , Johannes Hartig (Speaker)

    Activity: Conference Presentations › Research

  5. A Contribution to the Systematization of Sustainability-Related Behaviors/Pro-Environmental Behaviors (PEB)
    Markus Kleinhansl (Speaker) , Marit Kristine List (Speaker) , Martin Schwichow (Speaker)

    Activity: Conference Presentations › Research

View all activities

Press / Media

Prizes

  1. DGPs-Jungmitgliederprojekt zur Einheit und Vielfalt des Faches Psychologie
    Marit Kristine List (Recipient) ,

    Prize: external Prizes, scholarships, distinctions, appointments › Research

View all prizes

Courses

Introduction to latent variable models in empirical social research
Marit Kristine List
⌄
In various disciplines of quantitative empirical social research, models with latent variables (latent variable models [LVM]) play a central role in the analysis of social science constructs (e.g. abilities, characteristics or attitudes of individuals). In most cases, the measurement assumes that the observed behaviour in a specific situation (manifest variable, e.g. answers in a test) can be used to draw conclusions about generalisable, more broadly defined, not directly observable constructs (latent variable, e.g. underlying ability).
The course provides an overview of LMVs for analysing relationships between latent variables and latent or manifest variables: the various model classes (structural equation models, factor analyses, latent profile analyses, latent class analyses, item response theory) are introduced and discussed using empirical examples. Possible challenges in modelling and parameter estimation are addressed and the test theory concepts relevant to LMVs are discussed. Using sample data, the basics of modelling using LMVs are taught and practised.
The course is aimed at people with a basic knowledge of statistics and test theory (from their bachelor's degree). Participants should be familiar with the basic principles of regression analysis and (exploratory) factor analysis, as well as those of classical test theory. A basic knowledge of the data analysis software R is also required.
In the first session (see dates), the course schedule will be discussed and the participants' prior knowledge will be assessed. There is the option of setting specific focal points on the block days, which will also be discussed in the first session.
Next appointment:
Tuesday, 2026-06-02 at 16:15
Room: C 14.102 a Seminarraum
Statistics Course to Prepare for the Master's Thesis
Marit Kristine List
⌄
Ziel des Blockkurses ist es, die Studierenden methodisch bei ihren
Abschlussarbeiten zu unterstützen und ihnen die zentralen statistischen
Auswertungsverfahren nahezubringen. Fokus des Kurses liegt darauf,
anhand von Beispielen Datenanalysen einzuüben.

Hierfür sind verschiedene thematische Blöcke vorgesehen, wie z.B.: eine
Einführung in die Statistik-Software R und JASP; verschiedene
Datenformate; deskriptive Statistik; Bildung von Skalen; Berechnung von
Cronbach’s Alpha und McDonald’s Omega; Mittelwertvergleiche (t-Test,
ANOVA); Korrelationen; Regressionen.

Die einzelnen Themenblöcke sollen sich dabei an den statistischen
Analysen, die die Studierenden für das erfolgreiche Abschließen ihrer
Abschlussarbeiten benötigen, orientieren. Der Kurs gibt dazu einen
Überblick über die gängigen quantitativen Datenanalyseverfahren und es
wird zur eigenständigen Vertiefung und Nachbearbeitung Materialien zur
Verfügung gestellt.

Neben den beiden Themenblöcken haben die Studierenden die Möglichkeit,
in Einzel- oder Kleingruppengesprächen weitergehende Fragen zur
Datenanalyse mit der Dozentin zu besprechen.
Next appointment:
Thursday, 2026-05-21 at 09:00
Room: C 40.162 Seminarraum