Mental Contrasting with Implementation Intentions Increases Goal-Attainment in Individuals with Mild to Moderate Depression

2016 ◽  
Vol 40 (4) ◽  
pp. 557-564 ◽  
Author(s):  
Anja Fritzsche ◽  
Björn Schlier ◽  
Gabriele Oettingen ◽  
Tania M. Lincoln
Author(s):  
Peter M. Gollwitzer ◽  
Gabriele Oettingen

This chapter begins with a description of how the goal concept emerged in the history of the psychology of motivation to better understand the important role it plays in current research on motivation. The chapter then turns to the self-regulation of goal pursuit. The effects and underlying processes of two different self-regulation strategies will be discussed in detail: mental contrasting and forming implementation intentions. The chapter concludes with a report of the results of recent intervention studies that combine the self-regulation strategies of mental contrasting and forming implementation intentions to help people enhance goal attainment in the health, academic, and interpersonal domains.


Author(s):  
Peter M. Gollwitzer ◽  
Gabriele Oettingen

We start out with describing how the goal concept emerged in the history of the psychology of motivation to better understand the important role it plays in current research on motivation. We then suggest a differentiation between studies targeting the setting of goals versus the implementation of goals to get a grip on the host of empirical work the goal concept has triggered. With respect to goal setting, we first discuss studies that explore determinants affecting the content and structure of set goals (e.g., entity vs. incremental theories of intelligence influence the setting of performance vs. learning goals). We then turn to studies on the self-regulation of goal setting and discuss in detail how a self-regulation strategy called mental contrasting of future and reality facilitates strong commitment to feasible goals but dissolves commitment to unfeasible ones. With respect to goal implementation we first refer to studies on the determinants of effective goal striving (e.g., the framing of the set goal in terms of approach vs. avoidance) and then turn to analyzing the effective self-regulation of goal implementation. Here we focus on the strategy of forming implementation intentions (i.e., if-then plans) and explicate in detail how such planning helps in overcoming classic hurdles to goal attainment (e.g., distractions). We will end the chapter by reporting the results of recent intervention studies that successfully enhanced goal attainment in the health, academic, and interpersonal domains by combining the self-regulation strategy of mental contrasting with that of forming implementation intentions.


2021 ◽  
Vol 12 ◽  
Author(s):  
Guoxia Wang ◽  
Yi Wang ◽  
Xiaosong Gai

Mental contrasting with implementation intentions (MCII) is a self-regulation strategy that enhances goal attainment. This meta-analysis evaluated the efficacy of MCII for goal attainment and explored potential moderators. A total of 21 empirical studies with 24 independent effect sizes (15,907 participants) were included in the analysis. Results showed that MCII to be effective for goal attainment with a small to medium effect size (g = 0.336). The effect was mainly moderated by intervention style. Specifically, studies with interventions based on interactions between participants and experimenters (g = 0.465) had stronger effects than studies with interventions based on interactions between participants and documents (g = 0.277). The results revealed that MCII is a brief and effective strategy for goal attainment with a small to moderate effect; however, because of some publication bias, the actual effect sizes may be smaller. Due to small number of studies in this meta-analysis, additional studies are needed to determine the role of moderator variables.


2021 ◽  
pp. 014303432110003
Author(s):  
Adam Abdulla ◽  
Ruth Woods

Research suggests that mental contrasting with implementation intentions (MCII) enhances commitment and goal attainment. However, most studies have used limited comparison conditions. The present study compared MCII against two other potentially effective approaches: autonomous planning (AP), and solution-focused planning (SFP). It was thought that condition would have an indirect effect on goal progress by affecting commitment. However, goal attainment expectancy was hypothesised to be a moderator such that MCII has positive effects when expectancy is high but negative effects when expectancy is low. Ninety-eight female students were randomly assigned to one of three conditions: 1) MCII, 2) AP, or 3) SFP. All students initially set themselves a goal for the coming week regarding personal projects. Mean commitment and goal progress were marginally higher in the MCII condition than in the AP and SFP conditions but the differences were not statistically significant and (as predicted) much smaller than in previous research. Expectancy did not appear to have a moderating effect. The apparent benefits of MCII were larger relative to AP than to SFP. Results suggest that MCII may sometimes be no more effective than other approaches to goal-setting and planning, particularly if they are evidence-based and carefully-designed. Implications for schools are addressed.


2016 ◽  
Vol 23 (10) ◽  
pp. 1350-1355
Author(s):  
Marina Milyavskaya ◽  
Daniel Nadolny

Although numerous factors have been demonstrated in laboratory settings to lead to more successful health goal attainment, their actual use in daily goal pursuit is unknown. This study examines spontaneously reported health goals and their characteristics in a sample of 557 American adults. Participants responded to questions about health and health goals, with items assessing motivation, social support, and implementation intentions. In all, 66 percent of respondents had a health goal, 26 percent of participants had implementation intentions, and 47 percent received support from close others. Results suggest that interventions should focus on encouraging goal setting, teaching implementation intentions, and educating close others in providing support.


2010 ◽  
Vol 40 (7) ◽  
pp. 1277-1293 ◽  
Author(s):  
Marieke A. Adriaanse ◽  
Gabriele Oettingen ◽  
Peter M. Gollwitzer ◽  
Erin P. Hennes ◽  
Denise T. D. de Ridder ◽  
...  

2015 ◽  
Author(s):  
Jolien Plaete ◽  
Ilse De Bourdeaudhuij ◽  
Maite Verloigne ◽  
Geert Crombez

Background. Self-regulation tools are not always used optimally, and implementation intention plans often lack quality. Therefore, this study explored participants’ use and feasibility evaluation of self-regulation techniques and their impact on goal attainment. Methods. Data were obtained from 452 adults in a proof of concept (POC) intervention of ‘MyPlan’, an eHealth intervention using self-regulation techniques to promote three healthy behaviours (physical activity(PA), fruit intake, or vegetable intake). Participants applied self-regulation techniques to a self-selected health behaviour, and evaluated the self-regulation techniques. The quality of implementation intentions was rated by the authors as a function of instrumentality (instrumental and non-instrumental) and specificity (non-specific and medium to high specific). Logistic regression analyses were conducted to predict goal attainment. Results. Goal attainment was significantly predicted by the motivational value of the personal advice (OR:1.86), by the specificity of the implementation intentions (OR:3.5), by the motivational value of the action plan (OR:1.86), and by making a new action plan at follow-up (OR:4.10). Interaction-effects with behaviour showed that the specificity score of the implementation intention plans (OR:4.59), the motivational value of the personal advice (OR:2.38), selecting hindering factors and solutions(OR:2.00) and making a new action plan at follow-up (OR:7.54) were predictive of goal attainment only for fruit or vegetable intake. Also, when participants in the fruit and vegetable group made more than three plans, they were more likely to attain their goal (OR:1.73), whereas the reverse was the case in the PA group (OR:0.34). Discussion. Feedback on goal feasibility, coping implementation intentions, further research to investigate the optimal number of plans for different behaviours, the optimal frequency and timing of follow-up modules and new ways to incorporate social support in eHealth interventions, are recommended.


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