{
  "creator": [
    "Epifania, Ottavia M.",
    "Anselmi, Pasquale",
    "Robusto, Egidio"
  ],
  "date": [
    "2022-09-30"
  ],
  "description": [
    "The measure obtained from the Implicit Association Test (IAT; Greenwald et al., 1998. DOI: 10.1037/0022-3514.74.6.1464) is often used to predict people’s behaviors. However, it has shown poor predictive ability potentially because of its typical scoring method (the D score), which is affected by the across-trial variability in the IAT data and might provide biased estimates of the construct. Linear Mixed-Effects Models (LMMs) can address this issue while providing a Rasch-like parametrization of accuracy and time responses. In this study, the predictive abilities of D scores and LMM estimates were compared. The LMMs estimates showed better predictive ability than the D score, and allowed for in-depth analyses at the stimulus level that helped in reducing the across-trial variability. Implications of the results and limitations of the study are discussed."
  ],
  "format": [
    "application/pdf",
    "text/html",
    "text/xml"
  ],
  "identifier": [
    "https://meth.psychopen.eu/index.php/meth/article/view/7155",
    "10.5964/meth.7155"
  ],
  "language": [
    "eng"
  ],
  "publisher": [
    "PsychOpen GOLD / Leibniz Institut for Psychology (ZPID)"
  ],
  "relation": [
    "https://meth.psychopen.eu/index.php/meth/article/view/7155/7155.pdf",
    "https://meth.psychopen.eu/index.php/meth/article/view/7155/7155.html",
    "https://meth.psychopen.eu/index.php/meth/article/view/7155/7155.xml"
  ],
  "rights": [
    "Copyright (c) 2022 Ottavia M. Epifania, Pasquale Anselmi, Egidio Robusto",
    "https://creativecommons.org/licenses/by/4.0"
  ],
  "source": [
    "Methodology; Vol. 18 No. 3 (2022); 185-202",
    "1614-2241",
    "1614-1881",
    "10.5964/meth.v18i3"
  ],
  "subject": [
    "implicit association test",
    "Rasch model",
    "log-normal model",
    "mixed-effects models",
    "attitude-behavior gap"
  ],
  "title": [
    "Filling the Gap Between Implicit Associations and Behavior: A Linear Mixed-Effects Rasch Analysis of the Implicit Association Test"
  ],
  "type": [
    "info:eu-repo/semantics/article",
    "info:eu-repo/semantics/publishedVersion",
    "Peer-reviewed article"
  ]
}