The role of cognitive appraisal in media-induced presence and emotions

In the present study, we applied Valins’ (1966) bogus bodily feedback paradigm to investigate the roles of cognitive appraisal (tele)presence, and emotion in the context of media usage. Participants (N=30) viewed short sequences of a TV show, whereby false heart rate feedback was provided. In line with Valins’ paradigm, the manipulation we used in this study included two levels: high vs. low false heart rate feedback. We assessed presence, enjoyment, and the real heart rate. Participants reported stronger experiences of presence and enjoyed the clips more when they wrongly believed that they had been aroused. Since bogus feedback increases the sensation of presence, the results indicate that presence—like emotions—can be influenced by cognitive appraisals. It is likely that the false heart rate feedback was attributed to the stimulus, which in turn enhanced the sensation of presence.     

It Only Looks the Same From a Distance: How U.S., Finnish,and Irish Schools Support Struggling Readers

This study examined how U.S., Finnish, and Irish educators identified and supported struggling readers. Using Johnston's (2011) framework for evaluating reading interventions and activity theory (Engeström, 1999), we interviewed educators in four U.S., three Irish, and three Finnish schools. In the United States, the adoption of three beliefs—reductionist reading philosophy, difficulties as cognitive and remediated through instruction, and reading problems as unexpected phenomena—reinforced a skills-driven approach. Irish and Finnish educators adopted a more holistic view of reading, and teachers used formative assessment to support struggling students over extended periods while working collaboratively with other staff. Discussion focuses on how these beliefs influenced divisions of labor, roles and responsibilities, and the urgency with which difficulties were addressed.     

Intending or Pretending? Automatic Evaluations of Goal Cues Discriminate True and False Intentions

This research presents a novel approach to discriminating between true and deceptive statements about intended future behavior. Arguing that true intentions are goal‐directed, we predict that people who genuinely intend to pursue a reported goal will implicitly evaluate goal‐relevant cues positively, whereas people who do not intend to pursue the goal will not. Participants in an experiment were instructed to tell the truth about a planned future behavior (true intention) or to falsely report that same behavior to mask their actual mock‐criminal intention (false intention). As predicted, an evaluative priming task showed that participants with true intention exhibited implicit positive evaluations of cues relevant to the reported goal, whereas participants with false intention did not. Subsequent analyses showed that implicit positivity significantly discriminated between true and false intentions. The findings are discussed in terms of theoretical contributions and implications for the development of future detection tools. Copyright © 2012 John Wiley & Sons, Ltd.     

Expect the Unexpected? Variations in Question Type Elicit Cues to Deception in Joint Interviewer Contexts

We examined the effect of (i) a second interviewer's demeanour and (ii) asking expected and unexpected questions on cues to deception. We predicted that liars compared with truth tellers would provide more detail to expected questions and less detail to unexpected questions, particularly when the second interviewer is supportive. Liars prepare answers for expected questions, and a supportive interviewer will encourage them to provide more detail. By definition, liars have not prepared answers for unexpected questions, and their answers to such questions will be less detailed. Participants (N = 168) appeared before two interviewers: The first asked all the questions, and the second remained silent. The second interviewer exhibited either a supportive or a neutral demeanour. As predicted, liars provided more detail to expected questions and less detail to unexpected questions, particularly when the second interviewer was supportive. In conclusion, a supportive second interviewer elicits cues to deceit. Copyright © 2013 John Wiley & Sons, Ltd.     

Confounding of Big Five Personality Assessments in Emotional Disorders by Comorbidity and Current Disorder

Foremost cross‐sectional studies of personality in common mental disorders show similar Big Five trait profiles [i.e. high neuroticism (N), low conscientiousness (C) and low extraversion (E)]. It remains undecided whether this lack of distinct personality profiles is partly due to comorbidity among disorders or contamination by current state. Using data from the Netherlands Study of Depression and Anxiety, we investigated 1046 participants with panic disorder (PD), social anxiety disorder (SAD) and/or major depressive disorder (MDD) and 474 healthy controls. Personality traits at baseline and two‐year follow‐up were assessed with the NEO‐Five Factor Inventory. The Composite International Diagnostic Interview was used to determine the presence of emotional disorders at baseline and at two‐year follow‐up; the Life Chart Interview determined symptom severity in the month prior to baseline and during follow‐up. By analysing pure cases and investigating the effects in remitted cases, PD participants were found to be higher in N, but not lower in E and C than controls. Pure PD participants were also lower in N and higher in E than SAD and MDD participants. Both SAD and MDD participants were characterized by high levels of N and low levels of E, irrespective of comorbidity or current disorder state. Future studies should be more attentive to confounding of personality profiles by comorbidity and state effects. Copyright © 2012 John Wiley & Sons, Ltd.     

The Cognitive Processes Underlying Risky Choice

In this article, we tested two concepts of decision making: expected utility theory and heuristic choice. In Experiment 1, we applied think‐aloud protocols to investigate violations of expected utility theory. In Experiments 2 to 4, we introduced a new process‐tracing method—called predict‐aloud protocols—that has advantages over previously suggested research methods. Results show the following: (i) people examine information between rather than within gambles; (ii) the priority heuristic emerges as the most frequently used strategy when problems are difficult; and (iii) people check for similarity when problems are easy. Copyright © 2012 John Wiley & Sons, Ltd.     

Reply to Steele & Ferrer: Modeling Oscillation,Approximately or Exactly?

This article addresses modeling oscillation in continuous time. It criticizes Steele and Ferrer's article “Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes” (2011), particularly the approximate estimation procedure applied. This procedure is the latent version of the local linear approximation procedure based on Boker (2001) Boker, S. M. 2001. “Differential structural equation modeling of intraindividual variability.”. In New methods for the analysis of change Edited by: Collins, L. and Sayer, A. 3–28. Washington, DC: American Psychological Association.. [Crossref] , [Google Scholar] and Boker, Neale, and Rausch (2004). It furthermore presents two exact alternative estimation procedures, one using filter techniques and the other using structural equation modeling.     

Flexible Mediation Analysis in the Presence of Nonlinear Relations: Beyond the Mediation Formula

In the social sciences, mediation analysis has typically been formulated in the context of linear models using the Baron &; Kenny (1986) Baron, R. M. and Kenny, D. A. 1986. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51: 1173–1182. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar] approach. Extensions to nonlinear models have been considered but lack formal justification. By placing mediation analysis within the counterfactual framework of causal inference one can define causal mediation effects in a way that is not tied to a specific statistical model and identify them under certain no unmeasured confounding assumptions. Corresponding estimation procedures using parametric or nonparametric models, based on the so-called mediation formula, have recently been proposed in the psychological literature and made accessible through the R-package mediation. A number of limitations of the latter approach are discussed and a more flexible approach using natural effects models is proposed as an alternative. The latter builds on the same counterfactual framework but enables interpretable and parsimonious modeling of direct and mediated effects and facilitates tests of hypotheses that would otherwise be difficult or impossible to test. We illustrate the approach in a study of individuals who ended a romantic relationship and explore whether the effect of attachment anxiety during the relationship on unwanted pursuit behavior after the breakup is mediated by negative affect during the breakup.     

Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety

Several approaches exist to model interactions between latent variables. However, it is unclear how these perform when item scores are skewed and ordinal. Research on Type D personality serves as a good case study for that matter. In Study 1, we fitted a multivariate interaction model to predict depression and anxiety with Type D personality, operationalized as an interaction between its two subcomponents negative affectivity (NA) and social inhibition (SI). We constructed this interaction according to four approaches: (1) sum score product; (2) single product indicator; (3) matched product indicators; and (4) latent moderated structural equations (LMS). In Study 2, we compared these interaction models in a simulation study by assessing for each method the bias and precision of the estimated interaction effect under varying conditions. In Study 1, all methods showed a significant Type D effect on both depression and anxiety, although this effect diminished after including the NA and SI quadratic effects. Study 2 showed that the LMS approach performed best with respect to minimizing bias and maximizing power, even when item scores were ordinal and skewed. However, when latent traits were skewed LMS resulted in more false-positive conclusions, while the Matched PI approach adequately controlled the false-positive rate.     

Bottled memories: On how alcohol affects eyewitness recall

This study investigated how different doses of alcohol affected eyewitness recall. Participants (N = 126) were randomly assigned to three groups with different blood alcohol concentration (BAC), either a control group (mean BAC 0.00%, N = 42), a lower alcohol dose group (mean BAC 0.04%, N = 40), or a higher alcohol dose group (mean BAC 0.06%, N = 44). After consumption, participants witnessed a movie of a mock crime and were interviewed one week later. The main results showed that witnesses with the higher intoxication level recalled fewer details compared to witnesses with the lower intoxication level. The amount of alcohol consumed did not have an impact on the accuracy rate. No sex differences were found. The results are discussed in the light of past research. We conclude that more studies are needed before recommendations can be made to an applied setting.