Multilevel (random slope) regression in Mplus

Поделиться
HTML-код
  • Опубликовано: 23 янв 2025

Комментарии • 7

  • @markgrmo
    @markgrmo Год назад +2

    Thank you for the clear explanation. Would you mind also explaining or, alternatively, interpreting the results (meaning the summary of the explanation)?

  • @nicolettaburger7151
    @nicolettaburger7151 11 месяцев назад +2

    Thanks for the video! It would be great if you could record an exemplary interpretation of an output with random slope. That would help me a lot.

    • @QuantFish
      @QuantFish  11 месяцев назад

      Hi Nicoletta,
      Thank you very much for the suggestion. I will add a video explaining the Mplus output for a random coefficient/random slope model to this channel soon.
      Best, Christian Geiser

  • @horanjc
    @horanjc Месяц назад

    This video is very helpful in understanding how to set up the Mplus syntax, thank you. But do you have one where you go over interpreting the output? That is the piece that I am uncertain about. I have a multilevel model (students nested in schools) and I want to examine whether level-1 predictors (incl. covariates) are associated with the outcome while accounting for the multilevel nature of the data. I am uncertain how to pull out of the Mplus output whether and which of my predictors are associated with the outcome.

    • @QuantFish
      @QuantFish  Месяц назад

      Have you seen this one?
      ruclips.net/video/88Tx6gJ1eT8/видео.html
      Best, Christian Geiser

  • @will74lsn
    @will74lsn 2 месяца назад

    great video. How do you specify the variance-covariance structure for the random factors intercept and slope (which is generally unstructured) and the variance-covariance structure for the residuals?

    • @QuantFish
      @QuantFish  2 месяца назад +1

      In this example, the variances and the covariance of the Level-2 intercept and slope residuals were freely estimated.
      Best, Christian Geiser