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Adjusting Sample Sizes for Different Categories of Embodied Cognition Research

Introduction

Research in the field of embodied cognition is occupied with a variety of research questions stemming from the idea that cognition is deeply connected with bodily aspects such as perception and action (Barsalou, 1999, 2008). However, some embodiment studies have been identified to exhibit problems such as non-replicable results (Lakens, 2014). With this article, we wish to accomplish three aims: exemplifying ways of categorizing embodied cognition research in an informative manner; providing guidelines on how to identify problematic study designs; suggesting solutions for potentially problematic designs.
Within the field of embodied cognition, several aspects are investigated as outlined by Wilson (2002). One example for embodiment mentioned by Wilson (2002) is gesturing (for an overview on gesturing, see Hostetter and Alibali, 2008). Embodied cognition theory can be used to analyze the relation between gestures and mental processes (e.g., Hostetter and Alibali, 2008). Furthermore, there is a debate around the question whether language and meaning are grounded in perceptual contents experienced through the body (e.g., Borghi et al., 2004; for an overview on grounded cognition, see Barsalou, 2010). Besides research on cognition, principles of embodied cognition have been applied to fields such as social psychology (see Meier et al., 2012, for an overview) and educational psychology (see Paas and Sweller, 2012, for an overview). For instance, research on embodiment in the context of social cognition has provided evidence for the claim that bodily sensations such as weight can alter judgments on importance (e.g., Ackerman et al., 2010). In educational psychology, one application of embodiment theory is the design of interactive learning environments (e.g., Johnson-Glenberg et al., 2014).
In response to the current replication crisis in psychology (for discussions, see Pashler and Wagenmakers, 2012; Maxwell et al., 2015), several solutions have been proposed to improve the quality of psychological research (e.g., Chambers, 2013; Simons, 2014; LeBel, 2015; for overviews, see Ferguson, 2015; Zwaan et al., 2017). Benjamin et al. (2018) argue for a change of the standard 0.05 alpha level and instead support to lower the default alpha value for novel findings in the field of psychology to 0.005. Importantly, the sample size and power of studies have been described as pivotal contributors to replicable results (Fraley and Vazire, 2014).
Multiple types of embodied cognition research are facing the problem of delivering non-replicable results as discussed in the literature (e.g., Rabelo et al., 2015). Perugini et al. (2014) present a method for the calculation of sample sizes for replication studies and confirmatory research that takes into account that observed effect sizes may be inaccurate estimates. They suggest to conduct sample size calculations using an effect size that is based on the lower bounds of the confidence interval computed for an observed effect size (Perugini et al., 2014). Another method is presented by Simonsohn (2015), who makes the argument that sample size calculations for replication studies should not merely use the effect sizes reported in the original research that is to be replicated. He explains that by increasing the sample size by the factor of 2.5, a replication study can be used to assess whether an effect is too small to have been appropriately captured in the original study (Simonsohn, 2015). This method has already been used in a recent replication study on embodied cognition effects (Ronay et al., 2017). We suggest to use one of the aforementioned methods of sample size calculation for studies involving embodiment-based manipulation types that are known for potential problems. In the following, we will present three important aspects that can be used to check whether an embodied cognition study design will need amendments such as an increased sample size.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:34289
Date20 June 2019
CreatorsSkulmowski, Alexander, Rey, Günter Daniel
PublisherFrontiers Media SA
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relation10.3389/fpsyg.2018.02384, 1664-1078, 02384, 10.3389/fpsyg.2018.02384, info:eu-repo/grantAgreement/Deutsche Forschungsgemeinschaft/Open Access Publizieren/GRK 1780/1/

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