Raymond Bernard Cattell (1905 - 1998)
Pioneer of Personality Psychology & Intelligence Research

Developed the 16 Personality Factors model and Fluid vs. Crystallized Intelligence theory, revolutionizing the field of psychometrics and personality assessment.

https://raymondcattell.com

#psychology #intelligence #raymondcattell #research #psychometric #personality #phd #science #academic

Raymond B. Cattell | Pioneer of Personality Psychology

Pioneer of the 16PF personality inventory: Resources on Raymond Cattell's psychometric research, test validation studies, and applied psychology tools.

Raymond Cattell
Something you don't see every day, a #psychometric #meta-analysis (two of my favorite things!) of the major somatic symptom/somatization quantification scales. Wish we had more of these! jamanetwork.com/journals/jam...

Measurement Properties of the ...

Also, two industry #psychometric jobs are seeking candidates:

NCSBN needs a Psychometrician in their Examinations department:

https://www.psychometricsociety.org/jobs/2024-ncsbn-psychometrician-i-or-i

AART is seeking a psychometrician for their certification programs:

https://www.psychometricsociety.org/jobs/2024-arrt-psychometrician

Human Development and Family Studies, Department Head - Psychometric Society

State College, PA

Psychometric Society

🚨 New working paper about examining exam results
#rstats

📈 Infer student abilities and exercise difficulties with #psychometric models

✅ Detect and interpret differential effects of exercises in subgroups of an introductory #math exam

https://www.zeileis.org/news/exams/

Examining exams using Rasch models and assessment of measurement invariance

Models from psychometric item response theory are used to analyze the results from a large introductory mathematics exams in order to gain insights about student abilities, question difficulties, and heterogeneities of these in subgroups.

Achim Zeileis

The psychometric assessment

Interested about the psychometric assessment score of Momenul Ahmad:

The accuracy (reliability) of the tests on Momenul Ahmad's Psychometrics assessment Average Alpha is. 88 is considered very good compared to an industry benchmark (>. 70). Validity The test provides good face validity with questions based on modern occupational settings.

Read more- https://www.seosiri.com/2023/01/psychometrics-assessments-snapsych.html
#psychometric #psychometricassessment #momenulahmad

Decoding AI Overviews: Navigating the Future of SEO in Search Results

Enter AI Overviews, a groundbreaking feature pioneered by Google that leverages AI to provide users with comprehensive summaries directly within searc

New #Psychometrician job opening for the Education Quality and Accountability Office (EQAO) in Canada to conduct #psychometric and statistical analyses of its assessments

Details at: https://www.psychometricsociety.org/post/2024-canada-eqao-psychometrician

Psychometrician - Psychometric Society

Toronto, Canada

Psychometric Society
I have made updates to the RISEkbmRasch R package vignette for #psychometric analysis, most significantly to the sections on DIF analysis (invariance) and person fit. There are new examples on how to use the `lordif` and `PerFit` packages, amongst other things. https://pgmj.github.io/raschrvignette/RaschRvign.html
RISEkbmRasch vignette – R, Rasch, etc

An R package for Rasch analysis

R, Rasch, etc
My initial instinct was to discount this until I saw the sample size... Interesting. Would like to see the #psychometric measures - and a hint about what my musical choices might say about my #MoralCompass 😂 https://phys.org/news/2023-11-uncovers-link-musical-moral-compass.html
Study uncovers link between musical preferences and our inner moral compass

A new study, published in PLOS ONE, has uncovered a remarkable connection between individuals' musical preferences and their moral values, shedding new light on the profound influence that music can have on our moral compass.

Phys.org

This paper considers the problem of choosing "good" #MachineLearning algorithms from their performance on a number of datasets. They use an idea from #psychometric testing called "item-response theory". A particular benchmark is a single question in a test (some datasets are hard, others are easy). A particular ML algorithm is a student taking a test (some algorithms are consistent, some do well on easy questions, others give puzzling performance).

#JMLR
https://jmlr.org/papers/v24/20-1318.html

Comprehensive Algorithm Portfolio Evaluation using Item Response Theory