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URL:https://murmitoyen.com/events/vanille/udem/detail/847319-response-style
 s-and-aberrant-responding-in-survey-data
LOCATION:Université de Montréal - Pavillon Marie-Victorin\, 90\, avenue V
 incent-d'Indy\, Montréal\, QC\, Canada\, H2V 2S9
SUMMARY:Response styles and aberrant responding in survey data
DESCRIPTION:Conférence-midi du GRIÉMÉtic 
\nPar Carl Falk\, professeur
  à l’Université McGill 
\n(conférence en anglais)
\nDiffusion en lig
 ne :  https://zoom.us/j/692339850
\nAbstract: 
\nThe use of Likert-type
  items is pervasive throughout the social and behavioral sciences (e.g.\, 
 rate your agreement to a statement on a scale from 0 – Disagree to 4 –
  Agree). However\, individuals sometimes perceive and use the scale in dif
 ferent ways. In this talk\, I present an item response theory model capabl
 e of modeling multiple response styles across multiple constructs of inter
 est. Some features of this model include the ability for researchers to: 1
 ) Flexibly determine how response styles are defined\, 2) Test whether mod
 eling particular response styles improves model fit\, 3) Obtain scores for
  participants on the constructs of interest and response styles\, and 4) T
 est for group differences in the response styles or substantive constructs
 . Comparisons with sum score-based approaches\, and recent extensions to m
 ultilevel data will be briefly presented. Time permitting\, additional cha
 llenges in aberrant (atypical) responding to survey items will be discusse
 d.
\n 
\nBiography: Carl F. Falk is an assistant professor of Quantitati
 ve Psychology and Modeling in the Department of Psychology at McGill Unive
 rsity. His work focuses on the development\, testing\, and computer progra
 mming of advanced latent variable models with applications across the soci
 al sciences (e.g.\, psychology\, education\, health outcomes\, sociology\,
  etc.). This work spans across item response theory\, structural equation 
 modeling\, and multilevel modeling. Recent applied work includes analysis 
 of field test data and simulation based evaluations of item banks for the 
 Smarter Balanced Assessment Consortium.
\n 
\n 
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