Self-Control

Myrseth, Kristian Ove R.; Fishbach, Ayelet

doi:10.1111/j.1467-8721.2009.01645.x

Cited by 257 publications

(65 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Whereas the resolution of this dilemma ultimately contributes to either short-term benefit or long-term reward, the very way in which the dilemma is handled may involve several options, including the inhibition of an undesired behaviour (e.g., not eating fatty foods), the initiation of a desired behaviour (e.g., eating sufficient fruits and vegetables), or a combination of both. In conceptualising self-control this way we align with important theoretical contributions to the self-control literature, arguing that the very experience of a dilemma instigates self-control efforts (e.g., Fujita, 2011;Hofmann, Baumeister, Förster, & Vohs, 2012;Myrseth & Fishbach, 2009). Indeed, for the most part the self-control literature explicitly stipulates that inhibition of unwanted responses always takes places in view of a more rewarding long-term goal (rather than inhibition per se; cf.…”

mentioning

confidence: 73%

Lessons learned from trait self-control in well-being: making the case for routines and initiation as important components of trait self-control

Ridder

Gillebaart

2016

Health Psychology Review

103

View full text Add to dashboard Cite

mentioning

confidence: 73%

Lessons learned from trait self-control in well-being: making the case for routines and initiation as important components of trait self-control

Ridder

Gillebaart

2016

Health Psychology Review

103

View full text Add to dashboard Cite

“…"), but also that they compare ongoing behavior or the current status of the outcome to that goal (e.g., "where do I currently stand with respect to this goal?"). Monitoring goal progress serves to identify discrepancies between the current and desired state, which enables people to decide how best to allocate effort among salient goals (Carver & Scheier, 1982;Louro et al, 2007), and when and how to exercise restraint or initiate corrective Progress monitoring and goal attainment 33 action (Fishbach et al, 2012;Myrseth & Fishbach, 2009). In light of the present review, we contend that models concerned with specifying the determinants of intentions such as the Theory of Planned Behavior might profitably be extended to integrate the important role of monitoring goal progress.…”

Section: Discussionmentioning

confidence: 99%

“…Progress monitoring should promote goal attainment because it serves to identify discrepancies between the current state and the desired state, and thus enables people to recognize when additional effort or self-control is needed (Fishbach, Touré-Tillery, Carter, & Sheldon, 2012;Myrseth & Fishbach, 2009). For example, dieters who monitor their intake of calories can better decide whether they should allow themselves to have an extra helping of food.…”

mentioning

confidence: 99%

Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence.

Harkin

Webb

Chang

et al. 2016

Psychological Bulletin

412

229

View full text Add to dashboard Cite

Progress monitoring and goal attainment 2 AbstractControl Theory and other frameworks for understanding self-regulation suggest that monitoring goal progress is a crucial process that intervenes between setting and attaining a goal, and helps to ensure that goals are translated into action. However, the impact of progress monitoring interventions on rates of behavioral performance and goal attainment has yet to be quantified. A systematic literature search identified 138 studies (N = 19,951) that randomly allocated participants to an intervention designed to promote monitoring of goal progress versus a control condition. All studies reported the effects of the treatment on Moderation tests revealed that progress monitoring had larger effects on goal attainment when the outcomes were reported or made public, and when the information was physically recorded. Taken together, the findings suggest that monitoring goal progress is an effective self-regulation strategy, and that interventions that increase the frequency of progress monitoring are likely to promote behavior change. The present review investigates the impact of monitoring goal progress on rates of goal attainment. Goals are mental representations of desired outcomes (Austin & Vancouver, 1996) -such as to run a marathon or to be happy -and goal intentions are selfinstructions to act towards those outcomes (Sheeran & Webb, 2011;Triandis, 1980). Goal intentions capture both the nature of the set goal (e.g., the number of exercise sessions that one intends to engage in this week) and how committed one is to attaining it (e.g., the strength of one's intention to exercise five times this week). Intentions are the starting point for the willful control of action (Gollwitzer & Moskowitz, 1996). However, evidence indicates that intentions have only a modest impact on performance. A meta-analysis of 47 experimental studies found that a medium-to-large-sized change in intentions had a smallto-medium-sized effect on subsequent behavior (Webb & Sheeran, 2006). Evidence indicates that people who intend to exercise do not necessarily do so (Rhodes & de Bruijn, 2013), that most people want to be happier than they are (Oishi, Diener, & Lucas, 2007), and that it has become almost as traditional to fail to achieve New Year's resolutions as it is to form them in the first place (Marlatt & Kaplan, 1972;Norcross & Vangarelli, 1988). In short, forming a goal intention is not, on its own, sufficient to ensure goal attainment (for reviews, see Gollwitzer & Sheeran, 2006;Sheeran, Milne, Webb, & Gollwitzer, 2005;Sheeran & Webb, 2011;Webb, 2006). This 'gap' between intention and action (Sheeran, 2002) has led researchers to investigate which factors determine intention-behavior consistency. For instance, properties of intentions such as temporal stability (Cooke & Sheeran, 2004; Sheeran & Abraham, Progress monitoring and goal attainment 4 2003), the extent of actual control over performance (Sheeran, Trafimow, & Armitage, 2003), and the operation of habits (Neal, Wood, Wu...

show abstract

“…To date, studies that used SMS for reminding individuals to monitor RMC have not been conducted. Selfmonitoring of RMC, using a daily food diary, could decrease this consumption because it could help to identify any discrepancies between current and desired levels of consumption (Fishbach et al, 2012;Myrseth & Fishbach, 2009). Specifically, Michie et al (2009) reported that interventions that combined self-monitoring with other behavioural change techniques were significantly more effective than the other interventions for health behaviours.…”

Section: Intervention For Reducing Meat Intakementioning

confidence: 99%

Correlational study and randomised controlled trial for understanding and changing red meat consumption: The role of eating identities

Carfora

Caso

Conner

2017

Social Science & Medicine

View full text Add to dashboard Cite

Rationale: The present studies aimed to contribute to the literature on psychological variables involved in reducing red meat consumption (RMC).Objective: Study 1 investigated whether the theory of planned behaviour (TPB), plus healthy-eating and meat-eating identities, could explain intentions to reduce RMC. Study 2 evaluated the effectiveness of an SMS intervention on self-monitoring to reduce RMC.Methods: In Study 1, data were collected daily using online food diaries for one week and a TPB questionnaire. Study 2 was a randomised controlled trial assessing pre and post RMC and TPB constructs by online food diaries and questionnaires over a one-week period. Participants were Italian undergraduates in each study (Study 1: N = 405; Study 2: N = 244). In Study 2, participants were randomly allocated to control and message condition groups. Participants in the message condition group received a daily SMS, which reminded them to monitor RMC, while participants in the control group did not receive any message. Only students who completed all measures were considered in the analyses (Study 1: N = 342; Study 2: N = 228).Results: Study 1 showed that affective and instrumental attitudes, perceived behavioural control and meat-eating identity explained intentions to reduce RMC, while subjective norm, past behaviour and healthy-eating identity did not. Study 2 showed that an SMS intervention was effective in increasing intentions and reducing RMC. Mediation analyses indicated partial serial mediation through healthy-eating and meat-eating identities and intentions.Conclusion: The present studies provide support for the predictive validity of TPB in explaining intentions to reduce RMC and for the efficacy of an SMS intervention targeting self-monitoring in reducing RMC. Findings confirmed the important role of eating identities in explaining intentions to reduce RMC and in changing this behaviour.

show abstract

Self-Control

Cited by 257 publications

References 19 publications

Lessons learned from trait self-control in well-being: making the case for routines and initiation as important components of trait self-control

Lessons learned from trait self-control in well-being: making the case for routines and initiation as important components of trait self-control

Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence.

Correlational study and randomised controlled trial for understanding and changing red meat consumption: The role of eating identities

Contact Info

Product

Resources

About