Experimental control of conflict in a predictive visual probe task: Highly reliable bias scores related to anxiety

Attentional biases to signals of negative information: Reliable measurement across three anxiety domains

Cognitive models propose that individuals with elevated vulnerability to experiencing negative emotion are characterised by biased attentional responding to negative information. Typically, methods of examining these biases have measured attention to pictures of emotional scenes, emotional faces, or rewarding or feared objects. Though these approaches have repeatedly yielded evidence of anxiety-linked biases, their measurement reliability is suggested to be poor. Recent research has shown that attentional responding to cues signalling negative information can be measured with greater reliability. However, whether such biases are associated with emotion vulnerability remains to be demonstrated. The present study conducted three experiments that recruited participants who varied in trait and state anxiety (N = 134), social anxiety (N = 122), or spider fear (N = 131) to complete an assessment of selective attention to cues signalling emotionally congruent negative information. Analyses demonstrated that anxiety and fear were associated with biased attentional responding to cues signalling negative information, and that such biases could be measured with acceptable reliability (rsplit-half = .69-.81). Implications for research on the relation between emotion and attention are discussed.

Trial-level bias score versus mean bias score: Comparison of the reliability and external validity using dot-probe task among daily smokers

INTRODUCTION

Attentional bias (AB) is an individual difference risk factor that represents the extent to which cigarette cues capture one's attention. AB is typically indexed by mean bias score (MBS), theoretically assuming that AB is static. However, poor reliability of MBS has threatened valid interpretation of the results on AB. Based on observed trial-by-trial temporal fluctuation and variability of attentional allocation, trial-level bias score (TLBS) has been introduced as an alternative index with evidence of better psychometric properties in various populations, as compared to MBS. However, such evidence is limited among daily smokers. The current study aimed to replicate and extend extant findings in a sample of daily smokers by hypothesizing that TLBS, as compared to MBS, would demonstrate superior reliability and external validity.

METHODS

Forty-eight daily smokers completed self-reports, ad-libitum smoking, and a dot-probe task three times, which was comprised of 36 pairs of pictorial stimuli of cigarette and neutral cues, yielding 144 total trials.

RESULTS

The TLBS demonstrated superior internal (range intra class correlation [ICC] = 0.79-0.95) and test-retest reliability (range ICC = 0.64-0.88) compared to MBS (range ICC = 0.31-0.40 and 0.06-0.16, respectively). However, few significant relations between either the MBS or TLBS and measures of biobehavioral and self-report indices of smoking reinforcement were observed.

CONCLUSIONS

The current findings demonstrate that TLBS, as compared to MBS, is a more reliable measure of AB among daily smokers, while evidence of its external validity is limited.

An experimental test of integrating imagery with approach bias modification for alcohol: A cautionary tale

OBJECTIVES

In terms of dual process models, behaviour can be conceived of as the outcome of an interplay between reflective, top-down and impulsive, bottom-up processes. Behaviour change interventions may benefit from targeting both types of processes in a coherent way. One approach to this, in the context of reducing hazardous drinking, is to combine imagery involving real-life situations involving alcohol with the simple actions involved in Approach Bias Modification (ApBM), a form of Cognitive Bias Modification.

DESIGN

We developed and tested a version of this Imagery-enhanced Approach Bias Modification (IApBM) in an experimental design, with two independent factors: imagery versus control and ApBM versus control training components (N = 139).

METHODS

An effect of integrating the training factors was hypothesized on the alcohol-approach bias of an alcohol Approach-Avoidance Task. Further exploratory analyses were performed for the bias on alcohol-related Single Attribute Implicit Association Tests and on alcohol-related questionnaires. Finally, the psychometric properties of an imagery interference effect during training were explored.

RESULTS

Results showed no benefit of the training and in fact suggested a negative interaction in which combining the training components appeared to block reductions in craving effected by each in isolation. The reliability of the imagery-related interference effect was high and the effect was correlated with alcohol-related scales.

CONCLUSIONS

In conclusion, it appears that interference between training components decreases their individual effects when combining imagery and ApBM in the current way. The imagery-related interference effects that could be measured during training conditions may be useful as an implicit measure of automatic processes underlying hazardous drinking.