Experimental effects and individual differences in linear mixed models: Estimating the relationship between spatial, object, and attraction effects in visual attention
- Linear mixed models (LMMs) provide a still underused methodological perspective on combining experimental and individual-differences research. Here we illustrate this approach with two-rectangle cueing in visual attention (Egly et al., 1994). We replicated previous experimental cue-validity effects relating to a spatial shift of attention within an object (spatial effect), to attention switch between objects (object effect), and to the attraction of attention toward the display centroid (attraction effect), also taking into account the design-inherent imbalance of valid and other trials. We simultaneously estimated variance/covariance components of subject-related random effects for these spatial, object, and attraction effects in addition to their mean reaction times (RTs). The spatial effect showed a strong positive correlation with mean RT and a strong negative correlation with the attraction effect. The analysis of individual differences suggests that slow subjects engage attention more strongly at the cued location than fastLinear mixed models (LMMs) provide a still underused methodological perspective on combining experimental and individual-differences research. Here we illustrate this approach with two-rectangle cueing in visual attention (Egly et al., 1994). We replicated previous experimental cue-validity effects relating to a spatial shift of attention within an object (spatial effect), to attention switch between objects (object effect), and to the attraction of attention toward the display centroid (attraction effect), also taking into account the design-inherent imbalance of valid and other trials. We simultaneously estimated variance/covariance components of subject-related random effects for these spatial, object, and attraction effects in addition to their mean reaction times (RTs). The spatial effect showed a strong positive correlation with mean RT and a strong negative correlation with the attraction effect. The analysis of individual differences suggests that slow subjects engage attention more strongly at the cued location than fast subjects. We compare this joint LMM analysis of experimental effects and associated subject-related variances and correlations with two frequently used alternative statistical procedures…
Author details: | Reinhold KlieglORCiDGND, Ping Wei, Michael Dambacher, Ming YanORCiDGND, Xiaolin Zhou |
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URN: | urn:nbn:de:kobv:517-opus-56859 |
Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe (paper 236) |
Publication type: | Postprint |
Language: | English |
Publication year: | 2011 |
Publishing institution: | Universität Potsdam |
Release date: | 2011/12/06 |
Tag: | individual differences; linear mixed model; object-based attention; spatial attention; visual attention |
Source: | Frontiers in Psychology. - ISSN 1664-1078. 1 (2011), 238, S. 1-12 |
Organizational units: | Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Psychologie |
DDC classification: | 4 Sprache / 40 Sprache / 400 Sprache |
Institution name at the time of the publication: | Humanwissenschaftliche Fakultät / Institut für Psychologie |
License (German): | Keine öffentliche Lizenz: Unter Urheberrechtsschutz |
External remark: | first published in: Frontiers in Psychology, 1 (2011), 238, S. 1-12: DOI:10.3389/fpsyg.2010.00238 |