What is uSDT for? | The data | Preparing the data | Condition coding: deviation vs treatment | How the median split works | Inspecting the prepared data | Fitting the model | Understanding fixed and random effects | Testing unconscious processing: The three hypotheses | H1: Group-level sensitivity difference ($\Delta d'$) | H2: Latent correlation between tasks ($\rho$) | H3: Latent regression (Indirect $d'$ on Direct $d'$) | Reliability of individual differences | Visualizing the model | The latent regression | Shrinkage | Subject intervals | ROC curves | Where to go from here | Parametric bootstrap inference | Long-format datasets | References

What is uSDT for? | The data | Preparing the data | Condition coding: deviation vs treatment | How the median split works | Inspecting the prepared data | Fitting the model | Understanding fixed and random effects | Testing unconscious processing: The three hypotheses | H1: Group-level sensitivity difference ($\Delta d'$) | H2: Latent correlation between tasks ($\rho$) | H3: Latent regression (Indirect $d'$ on Direct $d'$) | Reliability of individual differences | Visualizing the model | The latent regression | Shrinkage | Subject intervals | ROC curves | Where to go from here | Parametric bootstrap inference | Long-format datasets | References