IMPS 2025 Abstract Submission is Open!!! https://www.psychometricsociety.org/post/imps-2025-abstract-submission
Denny Borsboom
@dennyborsboom
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I am very proud of this paper, which proposes a systematic method for testing whether theories putatively explain empirical phenomena. Congrats to the whole team, thanks to @Noah_van_Dongen for pulling it over the finish line.
Chris Chambers10 years after we created Registered Reports, the thing critics assured us would never (in a million years) happen has happened: @Nature is offering them.
The Registered Reports initiative just went up a gear and we are one step closer to eradicating publication bias and reporting bias from science.
Congratulations to all involved in achieving this milestone.
Postdoc vacancy in Maarten Marsman's lab: https://vacatures.uva.nl/UvA/job/Postdoctoral-Researcher-in-Bayesian-Graphical-Modeling/765324902/
We have an open PhD position in our Theory Methods Lab (https://www.theorymethodslab.com); see https://vacatures.uva.nl/job-invite/11113/
Philip BumpNearly a third of Republicans now approve of the riot at least somewhat. https://www.washingtonpost.com/politics/2023/01/09/trump-jan-6-insurrection-brazil/
LaurieShannon🇨🇦
@utek also this one: https://link.springer.com/article/10.1007/BF02289264
Image theory for the structure of quantitative variates - Psychometrika
A universe of infinitely many quantitative variables is considered, from which a sample ofn variables is arbitrarily selected. Only linear least-squares regressions are considered, based on an infinitely large population of individuals or respondents. In the sample of variables, the predicted value of a variablex from the remainingn − 1 variables is called the partial image ofx, and the error of prediction is called the partial anti-image ofx. The predicted value ofx from the entire universe, or the limit of its partial images asn → ∞, is called the total image ofx, and the corresponding error is called the total anti-image. Images and anti-images can be used to explain “why” any two variablesx j andx k are correlated with each other, or to reveal the structure of the intercorrelations of the sample and of the universe. It is demonstrated that image theory is related to common-factor theory but has greater generality than common-factor theory, being able to deal with structures other than those describable in a Spearman-Thurstone factor space. A universal computing procedure is suggested, based upon the inverse of the correlation matrix.
@utek This paper is insightful: https://pubmed.ncbi.nlm.nih.gov/26794686/
Exploratory Factor Analysis, Theory Generation, and Scientific Method - PubMed
This article examines the methodological foundations of exploratory factor analysis (EFA) and suggests that it is properly construed as a method for generating explanatory theories. In the first half of the article it is argued that EFA should be understood as an abductive method of theory generatio …