13. Lecture (23.01.2017): Graded Response Model (GRM) with logit and probit link functions

Steyer, Rolf GND

Topics: Graded Response Model (GRM) with logit and probit link functions, Basic assumptions and their implications for the category probabilities, Thresholds and discrimination parameters in these models, Application of the probit GRM for the data of the well-being scale of the MDMQ at time 1, Fixing the scale of the latent variables, Generalizing the probit GRM to a latent state model for three time points

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Steyer, Rolf: 13. Lecture (23.01.2017): Graded Response Model (GRM) with logit and probit link functions. Jena 2017.

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