Are the sources of interest the same for everyone? Using multilevel mixture models to explore individual differences in appraisal structures

How does personality influence the relationship between appraisals and emotions? Recent research suggests individual differences in appraisal structures: people may differ in an emotion's appraisal pattern. We explored individual differences in interest's appraisal structure, assessed as the within-person covariance of appraisals with interest. People viewed images of abstract visual art and provided ratings of interest and of interest's appraisals (novelty–complexity and coping potential) for each picture. A multilevel mixture model found two between-person classes that reflected distinct within-person appraisal styles. For people in the larger class (68%), the novelty–complexity appraisal had a stronger effect on interest; for people in the smaller class (32%), the coping potential appraisal had a stronger effect. People in the larger class were significantly higher in appetitive traits related to novelty seeking (e.g., sensation seeking, openness to experience, and trait curiosity), suggesting that the appraisal classes have substantive meaning. We conclude by discussing the value of within-person mixture models for the study of personality and appraisal.     

The effects of trait and state anxiety on attention to emotional images: An eye-tracking study

Attentional biases for threatening stimuli have been implicated in the development of anxiety disorders. However, little is known about the relative influences of trait and state anxiety on attentional biases. This study examined the effects of trait and state anxiety on attention to emotional images. Low, mid, and high trait anxious participants completed two trial blocks of an eye-tracking task. Participants viewed image pairs consisting of one emotional (threatening or positive) and one neutral image while their eye movements were recorded. Between trial blocks, participants underwent an anxiety induction. Primary analyses examined the effects of trait and state anxiety on the proportion of viewing time on emotional versus neutral images. State anxiety was associated with increased attention to threatening images for participants, regardless of trait anxiety. Furthermore, when in a state of anxiety, relative to a baseline condition, durations of initial gaze and average fixation were longer on threat versus neutral images. These findings were specific to the threatening images; no anxiety-related differences in attention were found with the positive images. The implications of these results for future research, models of anxiety-related information processing, and clinical interventions for anxiety are discussed.     

Secondary Revision: On Rethinking the Analytic Process and Analytic Technique

The author relates aspects of his own personal history and professional development in an effort to explain the changes in his way of thinking and working as an analyst that have evolved over the past thirty years. He also includes some of his current thinking on the questions of countertransference, the uses of memory, and contemporary analytic technique.     

On Unconscious Communications and Covert Enactments: Some Reflections on Their Role in the Analytic Situation

By means of an extended clinical example, this paper focuses on the impact that unconscious communications in the form of nonverbal behavior may have on the course and outcome of an analysis.

Responding to sudden catastrophic illnesses in their fathers, patient and analyst created enactments aimed at blinding them to hard truths about their relationships with this parent.

Serving as powerful resistances that led to a stalemate and all but ended treatment, these nonverbal enactments had to be recognized, confronted, and understood by both participants before analytic work could be resumed and progress achieved in this analysis.     

Reactions to Recruitment Web Sites: Visual and Verbal Attention, Attraction, and Intentions to Pursue Employment

Purpose

We investigate job seeker visual and verbal attention, and perceptions regarding company web sites in the applicant generation phase of recruitment.

Design/Methodology/Approach

We report three studies using varied methodological approaches including eye-tracking, verbal protocol analysis (VPA), and survey data.

Findings

Eye-tracking results suggest Web-based job seekers focus visual attention on information containing hyperlinks and on text more than graphic images or navigation tools. VPA suggests Web-based job seekers focus verbal attention on content more than design, especially job opening information. Survey results suggest content, design, and communication features are all related to applicant attraction. Design explains the most incremental variance in web site evaluation, while perceptions of communication features explain the most incremental variance in attitude toward the organization and intentions to pursue employment.

Implications

We provide multi-method evidence concerning features that attract applicant visual and verbal attention, and influence attraction and intentions to pursue employment. The findings also provide practical implications for designing recruitment web sites.

Originality/Value

We report three methodologically distinct perspectives on an important and timely issue: Web-based recruitment. We are aware of no other psychomotor eye-tracking studies in the recruitment literature, and only one other VPA. Combining multiple methods in this way provides unique perspective.     

Abstract: A Meta-Analysis of the Autocorrelation in Single Case Designs

Single case design (SCD) experiments in the behavioral sciences utilize just one participant from whom data is collected over time. This design permits causal inferences to be made regarding various intervention effects, often in clinical or educational settings, and is especially valuable when between-participant designs are not feasible or when interest lies in the effects of an individualized treatment. Regression techniques are the most common quantitative practice for analyzing time series data and provide parameter estimates for both treatment and trend effects. However, the presence of serially correlated residuals, known as autocorrelation, can severely bias inferences made regarding these parameter estimates. Despite the severity of the issue, few researchers test or correct for the autocorrelation in their analyses.

Shadish and Sullivan (in press) recently conducted a meta-analysis of over 100 studies in order to assess the prevalence of the autocorrelation in the SCD literature. Although they found that the meta-analytic weighted average of the autocorrelation was close to zero, the distribution of autocorrelations was found to be highly heterogeneous. Using the same set of SCDs, the current study investigates various factors that may be related to the variation in autocorrelation estimates (e.g., study and outcome characteristics). Multiple moderator variables were coded for each study and then used in a metaregression in order to estimate the impact these predictor variables have on the autocorrelation.

This current study investigates the autocorrelation using a multilevel meta-analytic framework. Although meta-analyses involve nested data structures (e.g., effect sizes nested within studies nested within journals), there are few instances of meta-analysts utilizing multilevel frameworks with more than two levels. This is likely attributable to the fact that very few software packages allow for meta-analyses to be conducted with more than two levels and those that do allow this provide sparse documentation on how to implement these models. The proposed presentation discusses methods for carrying out a multilevel meta-analysis. The presentation also discusses the findings from the metaregression on the autocorrelation and the implications these findings have on SCDs.     

On Measuring and Modeling Physiological Synchrony in Dyads

Physiological synchrony within a dyad, or the degree of temporal correspondence between two individuals' physiological systems, has become a focal area of psychological research. Multiple methods have been used for measuring and modeling physiological synchrony. Each method extracts and analyzes different types of physiological synchrony, where ‘type’ refers to a specific manner through which two different physiological signals may correlate. Yet, to our knowledge, there is no documentation of the different methods, how each method corresponds to a specific type of synchrony, and the statistical assumptions embedded within each method. Hence, this article outlines several approaches for measuring and modeling physiological synchrony, connects each type of synchrony to a specific method, and identifies the assumptions that need to be satisfied for each method to appropriately extract each type of synchrony. Furthermore, this article demonstrates how to test for between-dyad differences of synchrony via inclusion of dyad-level (i.e., time-invariant) covariates. Finally, we complement each method with an empirical demonstration, as well as online supplemental material that contains Mplus code.     

Relational Self-Construal and its Relationship to Academic Citizenship Behavior

Despite the abundance of research on personality traits and citizenship behavior, no study has examined the role of relational self-construal, which is a self-definition based on one’s close relationships. We hypothesized that relational self-construal would be positively related to academic citizenship behaviors, and that this association would remain significant while controlling for sex and agreeableness. In the study, 2,222 college undergraduates completed a self-report questionnaire measuring their relational self-construal, sex, personality, and academic citizenship attitudes. The results also confirmed the hypothesis that relational self-construal is positively related to some academic citizenship behaviors while controlling for sex and agreeableness. Specifically, relational self-construal was associated with consideration and civic virtue, but not with other citizenship behaviors.