Social Desirability Bias Against Admitting Anger: Bias in the Test-Taker or Bias in the Test?

The relationship between metacognition, anger, and pain intensity among fibromyalgia patients: a serial mediation model

Fibromyalgia is a burdensome pain causing patients a very negative emotional state that can worsen their clinical profile, perceived disability, and treatment outcomes. In particular, anger can negatively affect pain and patient adjustment to the disease. Recent studies suggest that metacognitions and anger rumination can negatively affect anger, which in turn can amplify the intensity of pain. This study aims to investigate whether anger rumination and state anger serially mediate the relationship between metacognitions and the intensity of pain. The study included 446 subjects who: declared having received a fibromyalgia diagnosis by a rheumatologist/pain physician; completed measures of metacognitions, anger rumination, state-anger, and pain intensity. The serial mediation analysis was conducted using Hayes' PROCESS macro (Model 6). Negative beliefs about worry and beliefs about the need to control thoughts indirectly influenced the intensity of pain through two significant mediating pathways: state-anger and anger rumination to state-anger. Cognitive self-consciousness affected pain intensity directly (β = .11, p < .05) and indirectly through two significant mediating pathways: state-anger and anger rumination to state-anger. This study highlights the role of serial mediation of anger rumination and state-anger in the relationship between metacognitions and pain intensity in the field of fibromyalgia. Our work introduces new targets for anger management interventions for patients with fibromyalgia. Such interventions could be effectively addressed with a metacognitive approach considering its specific focus on dysfunctional metacognitive beliefs and repetitive negative thinking.

A Comparison of Person-Fit Indices to Detect Social Desirability Bias

Social desirability bias (SDB) has been a major concern in educational and psychological assessments when measuring latent variables because it has the potential to introduce measurement error and bias in assessments. Person-fit indices can detect bias in the form of misfitted response vectors. The objective of this study was to compare the performance of 14 person-fit indices to identify SDB in simulated responses. The area under the curve (AUC) of receiver operating characteristic (ROC) curve analysis was computed to evaluate the predictive power of these statistics. The findings showed that the agreement statistic ( A ) outperformed all other person-fit indices, while the disagreement statistic ( D ) , dependability statistic ( E ) , and the number of Guttman errors ( G ) also demonstrated high AUCs to detect SDB. Recommendations for practitioners to use these fit indices are provided.

Anger treatment via CBAT delivered remotely: Outcomes on psychometric and self-monitored measures of anger

Studies of anger treatment have often reported on reappraisal and relaxation techniques delivered in person to forensic and psychiatric samples. The present study evaluated an integrative programme of cognitive-behavioural affective therapy (CBAT) delivered remotely to chronic pain sufferers with comorbid anger. Volunteers (N = 54) were randomly assigned to either CBAT or an Emotional Education (EE) group, both receiving hour-long videorecorded sessions twice a week for 4 weeks plus weekly calls by telephone. At 1-month post-treatment, follow-up was conducted. Outcomes were measured using the Anger Parameters Scale (APS) and its five subscales (frequency, duration, intensity, latency and threshold) as well as daily self-monitored anger logs. As hypothesized, pre- to post-treatment decline in APS total scores was significant for CBAT, Hedges' g = 0.65, 95% CI [0.14, 1.16] but nonsignificant and small for EE, g = 0.17, CI [-0.41, 0.75]. At the primary endpoint (post-treatment), APS total scores were significantly lower for CBAT than for EE. Treatment gains were maintained till follow-up. On all five APS subscales, pre-post effect sizes were medium-sized for CBAT and generally small for EE. This picture was mirrored in the self-monitored frequency, duration and intensity of anger. Findings support the efficacy of CBAT over time, its comparative efficacy over EE and its ecological generalizability. Future research could expand sample size, reduce sample imbalance, extend follow-up and strengthen treatment potency with more sessions. The present study renews enthusiasm for teletherapy and is the first to demonstrate CBAT efficacy in treating maladaptive anger in the chronic pain population.

Parameters of anger as related to sensory-affective components of pain

Objectives

Comorbid with chronic pain are negative emotions, anger being particularly salient. To evaluate specific relationships between pain and anger, the present study deconstructed anger into five parameters and dichotomized pain into sensory vs. affective components. Hypotheses were (i) anger parameters would be significantly and positively correlated with affective pain more so than with sensory pain, and (ii) individual parameters would be differentially related to pain components.

Methods

The Anger Parameters Scale (APS) was used to rate five parameters of anger: frequency, duration, intensity, latency, and threshold. Also rated was the physical sensation of pain and the degree of distress from pain. The volunteer sample comprised n=51 chronic pain patients, varying in ethnicity/race and educational level.

Results

Descriptive statistics revealed: APS total M=71.52, SD=16.68, Sensory pain M=6.27, SD=2.15, Affective pain M=5.76, SD=2.28. Sensory and affective pain were highly correlated, r=0.70. APS total was significantly associated with affective pain (r=+0.28) but hardly with sensory pain (r=0.12). Two anger parameters significantly correlated with affective pain: anger frequency (r=+0.30, p<0.05) and anger threshold (r=+0.33, p<0.05). Secondarily, certain educational levels (but not gender and ethnicity/race) were associated with significantly higher APS total scores.

Conclusions

Scores for all variables were in the mid-range. As hypothesized, anger was more strongly correlated with distress/suffering of pain than with physical sensation of pain, though both pain components were closely coupled. Specific findings regarding frequency and threshold imply that being angry often and being oversensitive to provocation are associated with greater distress in this context. In deconstructing anger and dichotomizing pain, the present study extends previous research by elaborating on what aspects of anger are most related to which components of pain. Moreover, certain educational levels with higher levels of anger may need special attention. Further research could examine if treatment of anger might lead to corresponding changes in chronic pain.

Experimental auction confirmation that social desirability bias does not predict willingness to pay for eco-labeled goods

It is often assumed that consumers’ willingness to pay (WTP) for eco-labeled products in research settings is not because of a desire for environmental protection, but rather that they are socially compelled to make decisions that reflects favorably on them, limiting the validity of findings. Using a second-price Vickrey experimental auction, this study found higher WTP for an eco-labeled product than a comparable good, but that social desirability bias, measured by the Marlowe–Crowne Social Desirability Scale, was not a significant predictor of WTP. Instead, environmental consciousness, environmental knowledge, education, and available information were stronger predictors of WTP for eco-labeled goods.

The Effects of Sleep Quality on Dream and Waking Emotions

Despite the increasing interest in sleep and dream-related processes of emotion regulation, their reflection into waking and dream emotional experience remains unclear. We have previously described a discontinuity between wakefulness and dreaming, with a prevalence of positive emotions in wakefulness and negative emotions during sleep. Here we aim to investigate whether this profile may be affected by poor sleep quality. Twenty-three ‘Good Sleepers’ (GS) and 27 ‘Poor Sleepers’ (PS), identified through the Pittsburgh Sleep Quality Index (PSQI) cut-off score, completed three forms of the modified Differential Emotions Scale, assessing, respectively, the frequency of 22 emotions over the past 2 weeks, their intensity during dreaming and during the previous day. The ANOVA revealed a different pattern of emotionality between groups: GS showed high positive emotionality in wakefulness (both past 2 weeks and 24 h) with a significant shift to negative emotionality in dreams, while PS showed evenly distributed emotional valence across all three conditions. No significant regression model emerged between waking and dream affect. In the frame of recent hypotheses on the role of dreaming in emotion regulation, our findings suggest that the different day/night expression of emotions between groups depends on a relative impairment of sleep-related processes of affect regulation in poor sleepers. Moreover, these results highlight the importance of including sleep quality assessments in future dream studies.

Relationships between Dream and Previous Wake Emotions Assessed through the Italian Modified Differential Emotions Scale

Despite the increasing interest in sleep and dream-related processes of emotion regulation, their reflection into wake and dream emotional experience remains unclear. Here, we aimed to assess dream emotions and their relationships with wake emotions through the modified Differential Emotions Scale (Fredrickson, 2003), which includes a broad array of both positive and negative emotions. The scale has been first validated on 212 healthy Italian participants, in two versions: a WAKE-2wks form, assessing the frequency of 22 emotions over the past 2 weeks, and a WAKE-24hr form, assessing their intensity over the past 24 h. Fifty volunteers from the wider sample completed the WAKE-24hr mDES for several days until a dream was recalled, and dream emotions were self-reported using the same scale. A bifactorial structure was confirmed for both mDES forms, which also showed good validity and reliability. Though Positive and Negative Affect (average intensity of positive and negative items, PA, and NA, respectively) were balanced in dreams, specific negative emotions prevailed; rmANOVA showed a different pattern (prevalence of PA and positive emotions) in wake (both WAKE-2wks and WAKE-24hr), with a decrease of PA and an increase of NA in the dream compared to previous wake. No significant regression model emerged between waking and dream affect, and exploratory analyses revealed a stable proportion of PA and NA (with prevailing PA) over the 3 days preceding the dream. Our findings highlight a discontinuity between wake and dream affect and suggest that positive and negative emotions experienced during wake may undertake distinct sleep-related regulation pathways.