How do we judge our confidence? Differential effects of meta-memory feedback on eyewitness accuracy and confidence

According to the cue–belief model, we assess confidence in our memories using self-credibility cues that reflect beliefs about our memory faculties. We tested the influence of meta-memory feedback on self-credibility cues in the context of eyewitness testimony, when feedback was provided prior to “testifying” via a memory questionnaire (Experiment 1) and after an initial memory questionnaire but before participants had to retake it (Experiment 2). Participants received feedback (good score, bad score, or none) on a fictitious scale purported to predict eyewitness memory ability. Those given good score feedback before testifying were more confident (but no more accurate) than those given bad score feedback. Feedback also affected confidence (good increased and bad decreased) and accuracy (good increased) after testifying but only on leading questions. These differential effects of meta-memory feedback on confidence for normal and leading questions are not explained by the cue–belief model. Implications for our confidence judgments are discussed.     

A procedure for evaluating sensitivity to within-person change: can mood measures in diary studies detect change reliably?

The recent growth in diary and experience sampling research has increased research attention on how people change over time in natural settings. Often however, the measures in these studies were originally developed for studying between-person differences, and their sensitivity to within-person changes is usually unknown. Using a Generalizability Theory framework, the authors illustrate a procedure for developing reliable measures of change using a version of the Profile of Mood States (POMS; McNair, Lorr, & Droppleman, 1992) shortened for diary studies. Analyzing two data sets, one composed of 35 daily reports from 68 persons experiencing a stressful examination and another composed of daily reports from 164 persons over a typical 28-day period, we demonstrate that three-item measures of anxious mood, depressed mood, anger, fatigue, and vigor have appropriate reliability to detect within-person change processes.     

Prior cognitive activity implicitly modulates subsequent emotional responses to subliminally presented emotional stimuli

It has been reported that engagement in several kinds of cognitive activity can successfully inhibit unpleasant emotions. In this study, we tried to replicate the previous finding that cognitive activity can modulate subsequent psychological and physiological emotional processes and to investigate whether prior cognitive activity can attenuate implicit emotional processes triggered by subliminal emotional stimuli. Sixty students were randomly divided into three groups (cognitive task group, noncognitive task group, control group). The cognitive task group was asked to engage in an n-back task, while the control group was asked to stay calm. The noncognitive task group was asked to do a handgrip-squeezing task. All participants then engaged in a version of a subliminal affective priming task where they were unconsciously exposed to affectively negative pictures. The cognitive task group showed lower negative experiences after the subliminal affective priming task and a substantial reduction in their heart rate responses, as compared with the other groups. These results provide evidence that engagement in cognitive activity can attenuate emotional processes in an automatic and unconscious manner.     

Implicit attenuation of subsequent emotion by cognitive activity

The successful regulation of emotion relies heavily on executive function. Until very recently, however, the specific effects of executive function activity on other processes havereceived relatively little empirical attention.The link between executive function and emotional responses suggests that the activation of executive function may play an important role in the attenuation of emotional responses. We conducted twoexperiments to test the hypothesis that decrements in emotional responses following cognitive task performance might be caused, at least in part, by the activation of executive function.First, we sought to test whetherthe activation of executive function reducedemotional responsesimplicitly, without any volitional effort.Next, we sought to examine the link between prior activation of executivefunction and the attenuation of subsequent emotional responses, by comparing the effects of an executive-function-demanding task with the effects of a task that is equally effortful but does not engage executive function.We discuss our results in the context of the role of executive function in the attenuation of emotion.     

Daily supportive equity in close relationships

Receiving support in committed relationships has frequently been associated with negative psychological outcomes in the recipient, such as increased distress. The authors hypothesized that these negative effects could be offset by support recipients' reciprocation of support, that is, by creating a sense of supportive equity. To investigate this hypothesis, the authors obtained daily reports of mood and of received and given emotional support from both partners in 85 couples throughout a 4-week period. Reciprocity in support transactions was associated with higher levels of positive mood and lower levels of negative mood. In line with previous research, receiving support without reciprocation was associated with increases in negative mood. Giving support, regardless of receipt, was associated with a decrease in negative mood.     

Receiving support as a mixed blessing: evidence for dual effects of support on psychological outcomes

Although social support is thought to boost feelings of closeness in dyadic relationships, recent findings have suggested that support receipt can increase distress in recipients. The authors investigated these apparently contrary findings in a large daily diary study of couples over 31 days leading up to a major stressor. Results confirm that daily support receipt was associated with greater feelings of closeness and greater negative mood. These average effects, however, masked substantial heterogeneity. In particular, those recipients showing greater benefits on closeness tended to show lesser cost on negative mood, and vice versa. Self-esteem was examined as a possible moderator of support effects, but its role was evident in only a subset of recipients. These results imply that models of dyadic support processes must accord a central role to between-individual heterogeneity.     

Dyadic longitudinal models: A critical review

In this review, we discuss the most commonly used models to analyze dyadic longitudinal data. We start the review with a definition of dyadic longitudinal data that allows relationship researchers to identify when these models might be appropriate. Then, we go on to describe the three major models commonly used when one has dyadic longitudinal data: the dyadic growth curve model (DGCM), the actor–partner interdependence model (APIM), and the common fate growth model (CFGM). We discuss when each model might be used and strengths and weaknesses of each model. We end with additional thoughts that focus on extensions to new methods being discussed in the literature, along with some of the challenges of collecting and analyzing dyadic longitudinal data that might be helpful for future dyadic researchers.     

Modeling support provision in intimate relationships

Whereas supportive interactions are usually studied from the perspective of recipients alone, the authors used a dyadic design to incorporate the perspectives of both provider and recipient. In 2 daily diary studies, the authors modeled provider reports of support provision in intimate dyads over several weeks. The 1st involved couples experiencing daily stressors (n = 79); the 2nd involved couples experiencing a major professional stressor (n = 196). The authors hypothesized that factors relating to (a) recipients (their requests for support, moods, and stressful events), (b) providers (their moods and stressful events), (c) the relationship (relationship emotions and history of support exchanges), and (d) the stressor (daily vs. major stressors) would each predict daily support provision. Across both studies, characteristics of providers, recipients, and their relationship emerged as key predictors. Implications for theoretical models of dyadic support processes are discussed.