Skip to content

Commit

Permalink
added new README.md file
Browse files Browse the repository at this point in the history
  • Loading branch information
mariusbarth committed Sep 1, 2017
1 parent 79cc983 commit 1d28dc2
Show file tree
Hide file tree
Showing 3 changed files with 11 additions and 3,305 deletions.
11 changes: 11 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,11 @@
## Assumptions of the process-dissociation procedure are violated in implicit sequence learning

### Authors: Marius Barth, Christoph Stahl, and Hilde Haider

### Abstract

> In implicit sequence learning, a process-dissociation (PD) approach has been proposed to dissociate implicit and explicit learning processes. Applied to the popular generation task, participants perform two different task versions: *inclusion* instructions require generating the transitions that form the learned sequence; *exclusion* instructions require generating transitions other than those of the learned sequence. Whereas accurate performance under inclusion may be based on either implicit or explicit knowledge, avoiding to generate learned transitions requires controllable explicit sequence knowledge. The PD approach yields separate estimates of explicit and implicit knowledge that are derived from the same task; it therefore avoids many problems of previous measurement approaches. However, the PD approach rests on the critical assumption that the implicit and explicit processes are invariant across inclusion and exclusion conditions. We tested whether the invariance assumption holds for the PD generation task. Across three studies using first-order as well as second-order regularities, invariance of the controlled process was found to be violated. In particular, despite extensive amounts of practice, explicit knowledge was not exhaustively expressed in the exclusion condition. We discuss the implications of these findings for the use of process-dissociation in assessing implicit knowledge.

This repository contains the manuscript, as well as data, code, and materials necessary to reproduce the manuscript (<a href="https://github.com/methexp/pdl2/archive/master.zip">download entire project</a> and open main.rmd in RStudio).

The manuscript is also available at PsyArxiv [here](http://osf.io/p7uxn).
Binary file removed main.pdf
Binary file not shown.
Loading

0 comments on commit 1d28dc2

Please sign in to comment.