toward a brighter future for psychology as an observation oriented science

Clicks: 204
ID: 141624
2012
Free PDF
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.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #175 of 201 articles by views in Frontiers in microbiology

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 201 in total.

Mint this article as an NFT
Not yet minted

Create 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
Sign in to mint
Abstract
Serious criticisms of psychology’s research practices and data analysis methods date back to at least the mid-1900s after the Galtonian school of thought had thoroughly triumphed over the Wundtian school. In the wake of Bem’s (2011) recent, highly publicized study on psi phenomena in a prestigious journal, psychologists are again raising serious questions about their dominant research script. These concerns are echoed in the current paper, and Observation Oriented Modeling (OOM) is presented as an alternative approach toward data conceptualization and analysis for the social and life sciences. This approach is rooted in philosophical realism and an attitude toward data analysis centered around causality and common sense. Three example studies and accompanying data analyses are presented and discussed to demonstrate a number of OOM’s advantages over current researcher practices.
Reference Key
grice2012behavioraltoward Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;James W. Grice;Paul T. Barrett;Liz A. Schlimgen;Charles I. Abramson
Journal Frontiers in microbiology
Year 2012
DOI
10.3390/bs2010001
URL
http://www.mdpi.com/2076-328X/2/1/1
Keywords
research methods integrated modelspsychology

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.