The recent exchange about implicit attitudes is an acute reminder of the need to pay research attention to the correlation between implicit attitudes and overt behavior. Current implicit measures are excellent to detect evaluatively relevant associations arising from specific and variable internal states and predict judgments when people lack the motivation and ability to control those judgments. However, there is no convincing evidence of a strong correlation between such implicit attitudes and overt behavior when people's ability and motivation to control the influence of these attitudes is low. Researchers should improve implicit measures by better integrating action, target, level, and context into the measurement procedures and then reexamine if these improved measures predict socially undesirable behaviors when ability and motivation to control behavior are low.
This article is categorized under:
Psychology > Theory and Methods
Neuroscience > Behavior
Neuroscience > Cognition
Past meta-analyses of the effects of priming on overt behavior have not examined whether the effects and processes of priming behavioral or nonbehavioral concepts (e.g., priming action through the word go and priming religion through the word church) differ, even though these possibilities are important to our understanding of concept accessibility and behavior. Hence, we meta-analyzed 351 studies (224 reports and 862 effect sizes) involving incidental presentation of behavioral or nonbehavioral primes, a neutral control group, and at least one behavioral outcome. Our random-effects analyses, which used the correlated and hierarchical effects model with robust variance estimation (Pustejovsky & Tipton, 2021; Tanner-Smith et al., 2016), revealed a moderate priming effect (d = 0.37) that remained stable across behavioral and nonbehavioral primes and across different methodological procedures and adjustments for possible inclusion/publication biases (e.g., sensitivity analyses from Mathur & VanderWeele, 2020; sensitivity analyses from Vevea & Woods, 2005). Although the findings suggest that associative processes explain both the effects of behavioral and nonbehavioral primes, lowering the value of a behavior weakened the effect only when the primes were behavioral. These findings support the possibility that even though both types of primes activate associations that promote behavior, behavioral (vs. nonbehavioral) primes may provide a greater opportunity for goals to control the effect of the primes.
Death and morbidity associated with substance use have risen continuously over the last few decades, increasing the need for rigorous examination of promising programs. Interventions attempting to change multiple behaviors have been designed to address interconnected problems such as use of both alcohol and drugs. This meta-analysis aimed to examine the efficacy of multibehavior interventions to curb nonmedical substance use in relation to the theoretical relation among different substance use behaviors. Specifically, our synthesis aimed to estimate the optimal number of recommendations for intervention efficacy and evaluate the impact of different combinations of recommendations on intervention efficacy. A synthesis of multibehavior interventions addressing nonmedical substance use was conducted to measure behavioral changes between the pretest and the follow-up. These changes were then compared across different numbers of recommendations. Sixty-nine reports and 233 effect sizes (k of conditions ϭ 155, n ϭ 28,295) were included. A positive linear relation was found between the number of targeted behaviors and intervention efficacy, which was stronger for drug use than alcohol use. Furthermore, recommendations on drug use worked better when paired with recommendations targeting other behaviors, whereas recommendations on alcohol use worked more independently. Lastly, multibehavior interventions were especially efficacious when delivered by experts. Overall, our synthesis indicated that targeting multiple substances is beneficial for changing drug use outcomes, but less so for alcohol use outcomes. Therefore, in the current substance use epidemic, innovative multibehavior programs appear to hold promise, especially to combat nonmedical drug use.
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