Individual differences

[gabriella...@stonybrook.edu]

Hi, 

I am looking to investigate how individual differences may impact decision-making using HDDM. However since the observations in the output from the model are non-independent and thus complicates using typical correlational analyses, are there any other ways to go about answering these types of questions? Is there a package to do DDM non-hierarchically? From what I understand, you need at least a small sample to run HDDM and can't run a model for an individual participant. Is that correct? 

Thank you for any help you can provide! 

[Mads Lund Pedersen]

Hi,

I’m not sure if I understand your concern about running a hierarchical model, but you can run HDDM for a single participant, but the fit will most likely not be as good as if you ran it for all subjects.

Mads

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[Michael J Frank]

I think the question here was referring to the ability to use estimated parameters from HDDM to look at correlations with individual difference measures (e.g. IQ etc). For that see the thread linked below on using HDDM to estimate impact of between subjects variables on group level parameters within the Bayesian parameter estimation itself. (also see the paper I linked in there which shows that the non-independent subjects do not really jeopardize correlational analyses-  though they would certainly do so for between groups t-tests). 

https://groups.google.com/forum/#!searchin/hddm-users/Using$20HDDMRegressor$20to$20fit$20between-person$20effects%7Csort:date/hddm-users/C96uz2_xFl8/2cItEsv6CAAJ

Michael J Frank, PhD, Professor
Laboratory for Neural Computation and Cognition
Brown University
http://ski.clps.brown.edu
(401)-863-6872

On Sun, Feb 25, 2018 at 12:06 PM, Mads Lund Pedersen <kent...@gmail.com> wrote:

Hi,

I’m not sure if I understand your concern about running a hierarchical model, but you can run HDDM for a single participant, but the fit will most likely not be as good as if you ran it for all subjects.

Mads

On Thu,22-Feb,2018, at 14:40 , gabriella.imbriano@stonybrook.edu wrote:

Hi, 

I am looking to investigate how individual differences may impact decision-making using HDDM. However since the observations in the output from the model are non-independent and thus complicates using typical correlational analyses, are there any other ways to go about answering these types of questions? Is there a package to do DDM non-hierarchically? From what I understand, you need at least a small sample to run HDDM and can't run a model for an individual participant. Is that correct? 

Thank you for any help you can provide! 

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