Testing Interactions in Multinomial Processing Tree Models
Multinomial processing tree (MPT) models allow testing hypotheses on latent psychological processes that underlie human behavior. However, past applications of this model class have mainly been restricted to the analysis of main effects. In this paper, we adopt the interaction concept as defined in...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2019-11-01
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Series: | Frontiers in Psychology |
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Online Access: | https://www.frontiersin.org/article/10.3389/fpsyg.2019.02364/full |
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author | Beatrice G. Kuhlmann Edgar Erdfelder Morten Moshagen |
author_facet | Beatrice G. Kuhlmann Edgar Erdfelder Morten Moshagen |
author_sort | Beatrice G. Kuhlmann |
collection | DOAJ |
description | Multinomial processing tree (MPT) models allow testing hypotheses on latent psychological processes that underlie human behavior. However, past applications of this model class have mainly been restricted to the analysis of main effects. In this paper, we adopt the interaction concept as defined in log-linear models and show why it is appropriate for MPT models. We then explain how to implement and test ordinal and disordinal two-way interaction hypotheses in MPT models. We also show how our method generalizes to higher-order interactions involving three or more factors. An empirical example from source memory and aging demonstrates the applicability of this method and allows for directly testing the associative deficit theory that age differences are larger in associative (e.g., source) memory as opposed to item memory. Throughout the paper, we explain how most analytic steps can be easily implemented in the freely available software multiTree. |
first_indexed | 2024-12-21T11:44:19Z |
format | Article |
id | doaj.art-691b5e3ee3034d3f806d8a5e3898025f |
institution | Directory Open Access Journal |
issn | 1664-1078 |
language | English |
last_indexed | 2024-12-21T11:44:19Z |
publishDate | 2019-11-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Psychology |
spelling | doaj.art-691b5e3ee3034d3f806d8a5e3898025f2022-12-21T19:05:13ZengFrontiers Media S.A.Frontiers in Psychology1664-10782019-11-011010.3389/fpsyg.2019.02364488778Testing Interactions in Multinomial Processing Tree ModelsBeatrice G. Kuhlmann0Edgar Erdfelder1Morten Moshagen2Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, GermanyDepartment of Psychology, School of Social Sciences, University of Mannheim, Mannheim, GermanyDepartment of Psychology, Ulm University, Ulm, GermanyMultinomial processing tree (MPT) models allow testing hypotheses on latent psychological processes that underlie human behavior. However, past applications of this model class have mainly been restricted to the analysis of main effects. In this paper, we adopt the interaction concept as defined in log-linear models and show why it is appropriate for MPT models. We then explain how to implement and test ordinal and disordinal two-way interaction hypotheses in MPT models. We also show how our method generalizes to higher-order interactions involving three or more factors. An empirical example from source memory and aging demonstrates the applicability of this method and allows for directly testing the associative deficit theory that age differences are larger in associative (e.g., source) memory as opposed to item memory. Throughout the paper, we explain how most analytic steps can be easily implemented in the freely available software multiTree.https://www.frontiersin.org/article/10.3389/fpsyg.2019.02364/fullmultinomial processing tree modelsinteractionsparametric order constraintsassociative deficit hypothesiscognitive aging |
spellingShingle | Beatrice G. Kuhlmann Edgar Erdfelder Morten Moshagen Testing Interactions in Multinomial Processing Tree Models Frontiers in Psychology multinomial processing tree models interactions parametric order constraints associative deficit hypothesis cognitive aging |
title | Testing Interactions in Multinomial Processing Tree Models |
title_full | Testing Interactions in Multinomial Processing Tree Models |
title_fullStr | Testing Interactions in Multinomial Processing Tree Models |
title_full_unstemmed | Testing Interactions in Multinomial Processing Tree Models |
title_short | Testing Interactions in Multinomial Processing Tree Models |
title_sort | testing interactions in multinomial processing tree models |
topic | multinomial processing tree models interactions parametric order constraints associative deficit hypothesis cognitive aging |
url | https://www.frontiersin.org/article/10.3389/fpsyg.2019.02364/full |
work_keys_str_mv | AT beatricegkuhlmann testinginteractionsinmultinomialprocessingtreemodels AT edgarerdfelder testinginteractionsinmultinomialprocessingtreemodels AT mortenmoshagen testinginteractionsinmultinomialprocessingtreemodels |