Welcome to StimSelect

The main use of StimSelect is to identify training and test items for an artificial grammar learning (AGL) study. See using_stimselect.html for an introduction to using StimSelect.

StimSelect can also compute characteristics of existing stimulus sets (see prior_stimuli_sample.html).

Contents

What's new in v0_7c?

As of 6 September 2013 (AGLSS0_7c), potential G and NG items can be specified explicitly to AGLSS instead of using a grammar. This often means that StimSelect can work with the full set of potential items of interest instead of working with a random sample from a large set of unconstrained NG symbol strings. Also, with a more specific set of potential items, choose_items can be much faster. See using_stimselect.html#2.

What's new in v0_7b?

As of 3 September 2013 (AGLSS0_7b) a new choose_more_items method allows multiple rounds of stimulus selection. This is especially useful if it is necessary to choose at least two new training items for every test item (e.g. if there are at least two test sets that require familiar items). See using_stimselect.html#5.

In addition, the following bugs were fixed:

What's new in v0_7?

From 2 September 2013 (AGLSS0_7)

Previous changes

See ChangeLog.m for information on previous changes to StimSelect.