1. 2022
  2. A comparison of different approaches for estimating cross-lagged effects from a causal inference perspective

    Lüdtke, O. & Robitzsch, A., 10.06.2022, (E-pub ahead of print) In: Structural Equation Modeling: A Multidisciplinary Journal.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. The interplay between students’ motivational profiles and science learning

    Kubsch, M., Fortus, D., Neumann, K., Nordine, J. & Krajcik, J., 10.06.2022, (E-pub ahead of print) In: Journal of Research in Science Teaching. 23 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. What do the relationships between pre-service biology teachers’ personality and professional knowledge reveal about their innovativeness?—An exploratory study using canonical correlation analysis

    Welter, V. D. E., Emmerichs, L. & Schlüter, K., 10.06.2022, In: Education Sciences. 12, 6, 20 p., 396.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Evaluation of a state-wide mathematics support program for at-risk students in Grades 1 and 2 in Germany

    van den Ham, A-K. & Heinze, A., 08.06.2022, (E-pub ahead of print) In: Journal of Research on Educational Effectiveness. 30 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Improving the quality of adaptive learning support provided by kindergarten teachers in play-based mathematical learning situations

    Wullschleger, A., Lindmeier, A., Heinze, A., Meier-Wyder, A., Leuchter, M., Vogt, F. & Moser Opitz, E., 06.06.2022, (E-pub ahead of print) In: European Early Childhood Education Research Journal. 18 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Statistical properties of estimators of the RMSD item fit statistic

    Robitzsch, A., 06.06.2022, In: Foundations. 2, 2, p. 488-503

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. A machine learning-based procedure for leveraging clickstream data to investigate early predictability of failure on interactive tasks

    Ulitzsch, E., Ulitzsch, V., He, Q. & Lüdtke, O., 01.06.2022, (E-pub ahead of print) In: Behavior Research Methods. 14 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. A response-time-based latent response mixture model for identifying and modeling careless and insufficient effort responding in survey data

    Ulitzsch, E., Pohl, S., Khorramdel, L., Kroehne, U. & von Davier, M., 06.2022, In: Psychometrika. 87, 2, p. 593-619 27 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Assessing students' epistemic beliefs related to professional and school science

    Voitle, F., Heuckmann, B., Kampa, N. & Kremer, K., 06.2022, In: International Journal of Science Education. 44, 6, p. 1000-1020 21 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Editorial: Scientific reasoning in science education: From global measures to fine-grained descriptions of students’ competencies

    Krell, M., Vorholzer, A. & Nehring, A., 06.2022, In: Education Sciences. 12, 2, p. 1-8 8 p.

    Research output: Contribution to journalOther (editorial matter etc.)Research

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