Scientific Meetings of The American Institute for Psychoanalysis

Conference Report

Scientific Meetings of The American Institute for Psychoanalysis     

Overt head movements and persuasion: a self-validation analysis

The authors report 3 experiments that examine a new mechanism by which overt head movements can affect attitude change. In each experiment, participants were induced to either nod or to shake their heads while listening to a persuasive message. When the message arguments were strong, nodding produced more persuasion than shaking. When the arguments were weak, the reverse occurred. These effects were most pronounced when elaboration was high. These findings are consistent with the "self-validation" hypothesis that postulates that head movements either enhance (nodding) or undermine (shaking) confidence in one's thoughts about the message. In a 4th experiment, the authors extended this result to another overt behavior (writing with the dominant or nondominant hand) and a different attitude domain (self-esteem).     

Real-Time Processing Implications of Enriched Composition at the Syntax–Semantics Interface

This study reports results on the real-time consequences of aspectual coercion. We define aspectual coercion as a combinatorial semantic operation requiring computation over and above that provided by combining lexical items through expected syntactic processes. An experiment is described assessing whether or not parsing of a string requiring coercion—in addition to syntactic composition—is more computationally costly than parsing a syntactically transparent counterpart, a string that provides for an interpretable representation via syntactic composition alone. The prediction of a higher computational cost for this process is borne out by the results.     

The effects of practice on object-based, location-based, and static-display inhibition of return

We report two experiments that examine the effects of practice on object-based, location-based, and static-display inhibition of return (IOR). The results are clean All three effects get smaller with practice. These findings are at odds with the results of Müller and von Mühlenen (1996), who failed to observe object-based IOR and detected no effect of practice on static-display IOR. However, their subjects were more practiced than ours prior to data collection. We suggest, therefore, that the reducing effect of practice on IOR might have occurred in their unrecorded practice sessions. We also discuss a two-process model in which IOR is seen as the net effect of underlying inhibitory and excitatory processes. In such models (e.g., Solomon & Corbit,1974), practice often results in a reduction of the net effect of the two processes.     

Teaching behavior analysts in an early intensive behavioral intervention setting to conduct a structured mealtime protocol

Children with autism spectrum disorder often display feeding problems, such as consumption of a limited variety of foods. It is also common for these children to be enrolled in early intensive behavioral intervention (EIBI) services for comprehensive treatment. Combined, these factors make it possible that behavior analysts will have a role in a child's clinical care related to feeding. However, given that the etiology of pediatric feeding disorders is complex and multifactorial, clinicians should ensure they have sufficient training and a setting that is appropriate for assessment and treatment. Therefore, we evaluated the effects of behavioral skills training in an EIBI setting to conduct a structured mealtime protocol. Training resulted in increases in procedural integrity, and we replicated these effects for all participants.     

Evaluating the efficacy of pictorial preference assessments with children who engage in food selectivity

Preference assessments are used in practice with individuals who engage in food refusal and selectivity to identify foods that a child will readily consume before assessment and treatment. Traditional edible preference assessments may be challenging for children who engage in food refusal or selectivity as the child may not consume foods, but rather engage in inappropriate mealtime behavior simply due to the presence of food. Alternative modality preference assessments, such as pictorial, may offer benefits compared to traditional preference assessment formats (e.g., stimulus preference assessment and paired-stimulus preference assessment). The use of pictures may reduce any evocative effects of the presence of food and result in choice-making without inappropriate mealtime behavior. Experiment 1 assessed the correspondence between the hierarchies yielded from pictorial preference assessments (with and without access) to a standard edible preference assessment. Experiment 2 evaluated the accuracy of each preference assessment by presenting foods identified as preferred and non-preferred to determine if the child would accept them. Results suggested that pictorial preference assessments with access corresponded the most with the traditional edible preference assessment. Also, for one individual, the traditional preference assessment did not accurately identify foods that the participant would consume, while the pictorial preference assessment without access yielded a hierarchy.     

The impact of customer engagement on customer happiness

Previous studies have found relationships between variables that predict happiness and engagement. While this suggests that engagement is a basis for generating customer happiness, the literature does not provide sufficient confirmatory evidence. Thus, the effects of different engagement intensities remain unclear. Focusing on conditions related to the Starbucks brand, this study analyzed how (1) passive and active engagement impacted customer happiness and (2) happiness impacted word of mouth (WOM) and purchase intention. Data were collected through an online survey among 802 Peruvian customers, all of whom were recruited via non-probabilistic sampling. Because two exogenous variables were considered formative (i.e., customer engagement and customer happiness), a partial least-squares structural equation model (PLS-SEM) was used for the analysis. In sum, engagement (both passive and active) significantly and positively impacted customer happiness, which then positively impacted WOM and purchase intention. Given that engagement is associated with variables that are broadly related to happiness, this study makes new contributions by (i) clarifying how customer engagement can generate customer happiness, (ii) identifying differences between active and passive engagement, and (iii) adding evidence for use in the debate on the purpose of marketing and traditional practices such as engagement. As discussed in the paper, these findings have theoretical and practical implications for brand managers.     

One-year prediction of cognitive decline following cognitive-stimulation from real-world data

Clinical evidence based on real-world data (RWD) is accumulating exponentially providing larger sample sizes available, which demand novel methods to deal with the enhanced heterogeneity of the data. Here, we used RWD to assess the prediction of cognitive decline in a large heterogeneous sample of participants being enrolled with cognitive stimulation, a phenomenon that is of great interest to clinicians but that is riddled with difficulties and limitations. More precisely, from a multitude of neuropsychological Training Materials (TMs), we asked whether was possible to accurately predict an individual's cognitive decline one year after being tested. In particular, we performed longitudinal modelling of the scores obtained from 215 different tests, grouped into 29 cognitive domains, a total of 124,610 instances from 7902 participants (40% male, 46% female, 14% not indicated), each performing an average of 16 tests. Employing a machine learning approach based on ROC analysis and cross-validation techniques to overcome overfitting, we show that different TMs belonging to several cognitive domains can accurately predict cognitive decline, while other domains perform poorly, suggesting that the ability to predict decline one year later is not specific to any particular domain, but is rather widely distributed across domains. Moreover, when addressing the same problem between individuals with a common diagnosed label, we found that some domains had more accurate classification for conditions such as Parkinson's disease and Down syndrome, whereas they are less accurate for Alzheimer's disease or multiple sclerosis. Future research should combine similar approaches to ours with standard neuropsychological measurements to enhance interpretability and the possibility of generalizing across different cohorts.