Benefits of multinomial processing tree models with discrete and continuous variables in memory research: an alternative modeling proposal to Juola et al. (2019).
Signal detection theory (SDT) and two-high threshold models (2HT) are often used to analyze accuracy data in recognition memory paradigms. However, when reaction times (RTs) and/or confidence levels (CLs) are also measured, they usually are analyzed separately or not at all as dependent variables (D...
| Publicado en: | Memory & Cognition Vol. 52; no. 4; pp. 793 - 826 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
May2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=177423292&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 177423292 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0090502X MEG jtl: Memory & Cognition issn: 0090502X maglogo: N pubinfo: dt: May2024 vid: 52 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 177423292 10.3758/s13421-023-01501-8 ppf: 793 ppct: 33 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.9MB tig: atl: Benefits of multinomial processing tree models with discrete and continuous variables in memory research: an alternative modeling proposal to Juola et al. (2019). aug: au: Gutkin, Anahí Suero, Manuel Botella, Juan Juola, James F. affil: https://ror.org/01rdrb571 Department of Psychological Methods, Philipps-Universität Marburg, Marburg, Germany https://ror.org/01cby8j38 Department of Social Psychology and Methodology, Universidad Autónoma de Madrid, Madrid, Spain https://ror.org/001tmjg57 Department of Social Psychology, University of Kansas, Lawrence, Kansas, USA su: Recognition (Psychology) Confidence Psychology Memory Statistical models Conceptual models Psychophysics Experimental design Mathematical models Reaction time Theory sug: subj: Recognition (Psychology) Confidence Psychology Memory Statistical models Conceptual models Psychophysics Experimental design Mathematical models Reaction time Theory keyword: Confidence ratings Multinomial processing tree Recognition memory models Confidence ratings Multinomial processing tree Recognition memory models ab: Signal detection theory (SDT) and two-high threshold models (2HT) are often used to analyze accuracy data in recognition memory paradigms. However, when reaction times (RTs) and/or confidence levels (CLs) are also measured, they usually are analyzed separately or not at all as dependent variables (DVs). We propose a new approach to include these variables based on multinomial processing tree models for discrete and continuous variables (MPT-DC) with the aim to compare fits of SDT and 2HT models. Using Juola et al.'s (2019, Memory & Cognition, 47[4], 855–876) data we have found that including CLs and RTs reduces the standard errors of parameter estimates and accounts for interactions among accuracy, CLs, and RTs that classical versions of SDT and 2HT models do not. In addition, according to the simulations, there is an increase in the proportion of correct model selections when relevant DV are included. We highlight the methodological and substantive advantages of MPT-DC in the disentanglement of contributing processes in recognition memory. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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