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#psychometrics

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The March* issue of Quality of Life Research includes the call for papers
"Quality of life dimensions in people living with mental disorders: moving beyond global scores"
rdcu.be/ehPIy

We encourage submissions of research and practice using nuanced approaches to #HRQL & #QOL, adopting the term “mental disorder” broadly, e.g., based on standard diagnoses or using transdiagnostic perspectives.

#SMI #HRQL #PatientCentered #Psychometrics #ClinicalPsychology #PsychotherapyResearch

* 👇

rdcu.beQuality of life dimensions in people living with mental disorders: moving beyond global scores

My simulation study on item misfit detection in Rasch models is published. We should leave rule-of-thumb critical values for model/item fit metrics behind us and use simulation/bootstrap methods to determine cutoffs appropriate for the sample and items being analyzed.

pgmj.github.io/rasch_itemfit/

The paper was completely written in #rstats and #quartopub and should be easy to reproduce. Source code and data available on GitHub via the URL above.

pgmj.github.ioDetecting item misfit in Rasch models

Very interesting paper on the use of exploratory factor strategies to investigate indicators of psychopathology. The Intro and Discussion are packed with interesting literature from the field:
journals.sagepub.com/doi/full/

Thanks for HT to our paper on some conceptual challenges when using and interpreting factor models for this work. Below one of the parts of the paper the team may have referred to.
rdcu.be/ed1Vd

This one time in maybe 2018 I pissed off a few uni colleagues. At a "senate" meeting (it deserves quotation marks at my school) some people with #psychometrics training & experience, including me, explained that a specific kind of #assessment was invalid--as in zero validity for intended purpose--so we should not use it. It literally provides no information about what it says, so we might as well roll dice or draw #random words from a hat.

The administration argued vehemently for keeping the assessment. They claimed it was valid (we showed them it wasn't). They claimed that a "caring" or "astute" instructor could glean valuable information (we showed them that this wasn't possible). They appealed to the other professors, implying that not using this assessment meant they didn't care about their students, and that voting to eliminate this assessment meant they (the eggheaded intellectuals) were being dunked on by the eggheaded intellectuals.

The measure failed and we still use the assessment. After the meeting I and someone else were bemoaning the result. I said something like "What happened in there was Trumpian." A colleague walking by overheard and angrily asked, "What do you mean by that?!"

I said, "The faculty heard from the experts telling them something they didn't like and they chose to go with the people who had no expertise telling them what they wanted to hear."

(I am sometimes not diplomatic; this makes a good story, but I really wish I had found a better way to say that.)

The person audibly huffed, actually turned on their heel, and walked away. They haven't spoken to me since.

Another #PeerReview done.
Manuscript c2,300 words
Review c1,600 words
1hr 45min

Using multiple indictors of the same construct as predictors in a regression equation makes it quite difficult to understand what the unique contribution of each indicator is.

And another plug for the #STROBE reporting guideline
strobe-statement.org/

STROBESTROBESTROBE stands for an international, collaborative initiative of epidemiologists, methodologists, statisticians, researchers and journal editors involved in the conduct and dissemination of…

#statstab #244 Scale Norming Undermines the Use of Life Satisfaction Scale Data for Welfare Analysis

Thoughts: People's answers on a scale may not correlate as we expect if they change their perspective.

#psychometrics #norming #bias #measurement

link.springer.com/article/10.1

SpringerLinkScale Norming Undermines the Use of Life Satisfaction Scale Data for Welfare Analysis - Journal of Happiness StudiesScale norming is where respondents use qualitatively different scales to answer the same question across survey waves. It makes responses challenging to compare intertemporally or interpersonally. This paper develops a formal model of the cognitive process that could give rise to scale norming in year on year responses to life satisfaction scale questions. It then uses this model to conceptually differentiate scale norming from adaptation and changes in reference points. Scale norming could make life satisfaction responses misleading with regards to the changing welfare of individuals. In particular, individuals who would say that their life is "improving" or "going well" might nonetheless give the same scale response year after year. This has negative implications for the use of scales in cost–benefit analysis and other welfarist applications. While there is already substantial empirical evidence for the existence of scale norming, its implications for welfare analysis are sometimes understated on the grounds that this evidence might simply be the product of errors of memory. The paper presents new empirical evidence for scale norming from two surveys (N1 = 278; N2 = 1050) designed such that errors of memory are an unconvincing explanation for the results.

The NASA-TLX (1986) may be the most frequently used #workload measure(>34K citations), but it's often used incorrectly (without pair-wise comparisons / individual weighting). I've made editable Word-files with instructions and materials that should be easier to use, and an Excel sheet for easy scoring. Students have helped me to translated the English version into Dutch, Norwegian, Russian and Ukranian:

osf.io/mnxfu/

OSFNASA task load index (TLX) materials, enhanced instructions and translated to various languages Digitalized and enhanced version of the NASA-TLX workload measure. With various translations and a automated scoring sheet. Hosted on the Open Science Framework