contributions of stimulus equivalence paradigm for studying attitudes
Clicks: 6
ID: 231940
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
1.5
/100
6 views
4 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #99 of 111 articles by views in acta crystallographica section e: crystallographic communications
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
According to the behavior-analytic approach, attitudes can be viewed as responses emitted based on
a previous learning history. Stimulus equivalence paradigm, using procedures that simulate
symbolic behavior in the laboratory, has made possible to understand attitude formation as arbitrary
relational networks between stimulus classes and evaluative attributes. This view has enabled
understanding how social phenomena, such as prejudices and stereotypes, can be established and
changed. The aim of this research is to present contributions, from empirical evidence demonstrated
by stimulus equivalence research carried out in the last decades, especially from the 1 990’s, that
strengthen this paradigm as an important behavioral model for studying attitudes.
| Reference Key |
mizael2016interaocontributions
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Tahcita Medrado Mizael;Silvana Lopes dos Santos;Julio Cesar Coelho de Rose |
| Journal | acta crystallographica section e: crystallographic communications |
| Year | 2016 |
| DOI |
10.5380/psi.v20i2.46278
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.