习惯研究的现状与展望

习惯是一种由某特定线索引发并指向某特定目标(包括外显目标与内隐目标)的自动化反应。它具有过去有行为的重复、环境线索的稳定与自动化的反应等特征。关于习惯的测量方式主要采取自我报告法（如自我报告过去行为频率、自我报告习惯频率、自我报告习惯索引等）和反应频率测量法。对习惯的形成的理论解释主要有环境促进、态度促进、目标促进等几种观点。未来研究应继续深入探讨习惯的本质、整合形成机制的相关理论及开发更可靠方便的测量工具。     

Problems of Operationalizing Habits and Integrating Habits in Normative Decision‐Making Models1

This paper reports on a study, conducted in Bochum, Germany, involving 160 participants. Two research interests were combined in our study. The first aim was to integrate habit into the process of normative decision making to predict environmentally relevant behavior. Two approaches of implementing habits are analyzed and discussed. Both conceptualizing habitual and normative influences on behavior as excluding paths and integrating habit into the process of normative decision making are illustrated by data. With our approach, we intended to initialize a discussion about the consideration of habits in the context of normative decisions. The second aim was to develop and test different modifications of Verplanken's (Verplanken, Aarts, van Knippenberg, & van Knippenberg, 1994) response frequency measure (RFM) to improve the operational ization of habit. The modified forms of RFM were not more appropriate than the unmodified form. Therefore, we suggest using the unmodified RFM until there is an improved form available.     

Validation of physical activity habit strength with subjective and objective criterion measures

ObjectivesA German version of the Self-reported Habit Strength Index (SRHI) for both sports and everyday physical activity (PA) was validated against subjective and objective criterion measures of PA.Design and methodData were obtained from 260 participants (21.4% women) in study 1 and 86 participants (58.1% women) in study 2. Both studies assessed habit strength for PA (sports and everyday PA) by the SRHI and PA by the Baecke Questionnaire (Sport, Leisure and Work Index) as subjective criterion measure, as well as by accelerometry (Step Activity Monitor or GTM1 Actigraph) as objective criterion measure. Bivariate correlations as well as path analyses were computed for the associations between the SRHI scores and subjective and objective criterion measures of PA.ResultsHighest associations for subjective criterion measure were found for habit strength for sports and the Sport Index in both studies. The Leisure Index was predicted by habit strength for sports and everyday PA. For objective criterion measures, habit strength for sports was most significantly associated with total PA in study 1 and moderate intense PA in study 2. Habit strength for everyday PA was a significant predictor of moderate intense and total PA in study 1 and low intense PA in study 2.ConclusionThe present studies replicated high internal consistencies of the SRHI for sports and everyday PA and could partially confirm their validity with subjective and objective criterion measures. The SRHI for sports seems to be more robust than the SRHI for everyday physical activity.     

Predicting habit: The case of physical exercise

ObjectivesHabit has been an undervalued concept in the behavioral sciences during the past few decades. One reason may be that habit has been equated with behavioral frequency. This leaves out an important characteristic of habits, i.e., the fact that repeated behavior may acquire a degree of automaticity. The present study aimed to demonstrate that exercising habit can be reliably measured, can empirically be distinguished from past frequency of exercising, and can thus be adopted as a meaningful criterion.Design and methodsA longitudinal study was conducted with two measurements one month apart among 111 students. Intentions to exercise, perceived behavioral control of exercising, past exercising frequency, and exercising habit were assessed at both measurements through an internet-based questionnaire. Exercising habit was assessed by the Self-Report Habit Index [Verplanken & Orbell (2003). Reflections on past behaviour: A self-report index of habit strength. Journal of Applied Social Psychology, 33, 1313–1330]), which breaks down the habit concept in the subjective experience of repetition and automaticity.ResultsThe results showed that exercising habit can be reliably measured, is stable over time, and can be distinguished from mere exercising frequency.ConclusionsIn addition to frequency of behavior, measuring habit provides information about the way behavior is executed. An important element of exercising behavior is the decision to go exercise. It is argued that the habit concept is therefore particularly relevant for the initiation of and adherence to exercising. Implications of distinguishing behavioral frequency and habit for interventions are discussed.     

How are habits formed: Modelling habit formation in the real world

To investigate the process of habit formation in everyday life, 96 volunteers chose an eating, drinking or activity behaviour to carry out daily in the same context (for example ‘after breakfast’) for 12 weeks. They completed the self‐report habit index (SRHI) each day and recorded whether they carried out the behaviour. The majority (82) of participants provided sufficient data for analysis, and increases in automaticity (calculated with a sub‐set of SRHI items) were examined over the study period. Nonlinear regressions fitted an asymptotic curve to each individual's automaticity scores over the 84 days. The model fitted for 62 individuals, of whom 39 showed a good fit. Performing the behaviour more consistently was associated with better model fit. The time it took participants to reach 95% of their asymptote of automaticity ranged from 18 to 254 days; indicating considerable variation in how long it takes people to reach their limit of automaticity and highlighting that it can take a very long time. Missing one opportunity to perform the behaviour did not materially affect the habit formation process. With repetition of a behaviour in a consistent context, automaticity increases following an asymptotic curve which can be modelled at the individual level. Copyright © 2009 John Wiley & Sons, Ltd.     

Metacognitive Habits: Contradiction in Terms or Valid Theoretical Concept? The Role of Metacognition in Habitual Behavior

The aim of the present article is to present data showing that habitual actions might be conceptualized as metacognitive habits. The study is based on 3 data collections assessing smoking and school attendance. Habits were measured by a self-report habit index (SRHI) scale that assesses the level in which given behaviors are performed without self-awareness. Metacognitions were measured by the Mental Constructions (MCs) scale that assesses the level of awareness in performing behaviors in question. The results show that MCs and SRHI have (a) moderate to strong positive correlations and (b) similar relations to dependent variables. The study concludes that the further explorations of metacognitive habits are warranted.     

The effects of scenario-based risk information on perceptions of susceptibility to Chlamydia and HIV

Abstract

Objectives: The Self-Report Habit Index (SRHI) was originally reported as one-dimensional; however, habit has been described as characterised by several features. Moreover, one-dimensional models for the SRHI have demonstrated poor fit. Therefore, we aimed to compare multidimensional models with a one-dimensional model in both snacking and physical activity habits, besides examining further instrument characteristics.

Design: A cross-sectional study was conducted with high school and university students (n?=?555).

Main outcome measure: The SRHI adapted for physical activity and for snaking habits was applied at one time point.

Results: Nested models with one factor, two factors and three factors were compared. Next, a hierarchical second-order model was tested, and further validity issues, as well as invariance between habits, were examined. Three-dimensional models represented a better fit for both habits. However, fit was still inadequate in the snacking version. In addition, discriminant validity concerns emerged for the physical activity SRHI. Moreover, invariance between the snacking and the physical activity versions was not confirmed.

Conclusions: Considering the SRHI as composed by the dimensions of ‘lack of awareness’, ‘lack of control’ and ‘history of behavioural repetition’ seems to be more accurate. Nevertheless, our findings suggest that further research is needed.     

The theory of planned behaviour and breast self-examination: Assessing the impact of past behaviour,context stability and habit strength

This study applied the theory of planned behaviour (TPB) to the prediction of breast self-examination (BSE) intentions and behaviour, and tested whether the frequency of past behaviour and context stability moderates intention–behaviour and habit–behaviour relations. Seventy-seven females completed measures of the TPB, frequency of past behaviour, context stability and habit strength (Self-Report Habit Index). BSE behaviour was assessed at 1-month follow-up (n?=?66). The TPB explained 33% of the variance in BSE intentions and 11% of the variance in time 2 BSE. The frequency of past behaviour moderated the intention–behaviour relationship such that the intention was only positively related to time 2 BSE behaviour when the frequency of past behaviour was low. Context stability and the combination of the frequency of past behaviour?×?context stability moderated the habit–behaviour relationship such that habit strength was only positively related to time 2 BSE behaviour when context stability and the combination of frequency of past behaviour?×?context stability were high. The results are consistent with the proposal that behaviours that are performed frequently in stable contexts are predominantly under the control of habitual processes, whereas behaviours that are performed infrequently in unstable contexts are predominantly under the control of intentional processes.     

Relations between implicit and explicit measures of attitudes and measures of behavior: evidence of moderation by individual difference variables

The moderating role of individual difference variables (Self-Reported Habit Index [SRHI], Need for Cognition [NFC]) on relationships between implicit (Implicit Association Test [IAT], Extrinsic Affective Simon Test [EAST]) or explicit measures of attitude and behavior is assessed in two studies. A dissociation pattern is found on self-report diary measures of behavior. In Study 1, the EAST-behavior relationship is moderated by SRHI; explicit measures of the attitude-behavior relationship are moderated by NFC. In Study 2, the IAT-behavior relationship is moderated by SRHI; explicit measures of the attitude-behavior relationship are moderated by NFC. Higher levels of SRHI and NFC are associated with stronger relationships between the implicit or explicit measures of attitude and the measure of behavior. In Study 2, the SRHI x IAT interaction is replicated for an objective behavior measure. Implications for understanding the relationship between implicit and explicit measures of attitudes and measures of behavior are discussed.     

When Do Employees Identify? An Analysis of Cross‐Sectional and Longitudinal Predictors of Training Group and Organizational Identification1

Organizational research has shown the impact of organizational identification on employees' attitudes and behavior, and its relevance for economic success ( Haslam, 2004 ). Furthermore, the necessity to differentiate levels of identification within organizations has been emphasized ( van Knippenberg & van Schie, 2000 ). Little is known, however, about predictors of different identification levels within organizations and their influence on the development of identification. In a longitudinal study with training groups of flight attendants, we investigated how foci of identification (training group, organization) were differentially predicted by cross‐sectional and longitudinal variables. Interpersonal attraction related to training group identification, whereas professional motivation related to organizational identification. Furthermore, expected job circumstances and professional motivation were longitudinal predictors for training group identification and organizational identification, respectively.     

The theory of planned behaviour and breast self-examination: assessing the impact of past behaviour, context stability and habit strength

This study applied the theory of planned behaviour (TPB) to the prediction of breast self-examination (BSE) intentions and behaviour, and tested whether the frequency of past behaviour and context stability moderates intention-behaviour and habit-behaviour relations. Seventy-seven females completed measures of the TPB, frequency of past behaviour, context stability and habit strength (Self-Report Habit Index). BSE behaviour was assessed at 1-month follow-up (n?=?66). The TPB explained 33% of the variance in BSE intentions and 11% of the variance in time 2 BSE. The frequency of past behaviour moderated the intention-behaviour relationship such that the intention was only positively related to time 2 BSE behaviour when the frequency of past behaviour was low. Context stability and the combination of the frequency of past behaviour?×?context stability moderated the habit-behaviour relationship such that habit strength was only positively related to time 2 BSE behaviour when context stability and the combination of frequency of past behaviour?×?context stability were high. The results are consistent with the proposal that behaviours that are performed frequently in stable contexts are predominantly under the control of habitual processes, whereas behaviours that are performed infrequently in unstable contexts are predominantly under the control of intentional processes.     

From intentions via planning and behavior to physical exercise habits

ObjectivesIndividuals who enact a health behavior effortlessly with minimal conscious deliberation can be assumed to have formed a healthy habit. This can be reflected by increases in self-reported habit strength of a behavior. We examined whether physical exercise intentions facilitate changes in exercise habit strength by increasing the use of action planning and exercise.DesignTwo field studies investigated the effect of behavioral intentions on changes in habit strength through a sequential path from action planning to exercise.MethodExercise intentions, action planning, habit strength, and exercise were assessed at two measurement points in time in 231 university students (Study 1), and at four points in time in 134 rehabilitation patients (Study 2).ResultsIn multiple-step mediation models in both samples, there were indirect effects of intentions on habit strength through action planning and behavior.ConclusionAction planning and behavior operated as sequential mediators to bridge the gap between intentions and habit strength. Exercise habit strength may increase as a result of conscious action planning and frequent behavior enactment. Including these constructs jointly into behavior change models may improve the understanding of the mechanisms involved in behavior maintenance.     

Does habit weaken the relationship between intention and behaviour? Revisiting the habit‐intention interaction hypothesis

Habitual behaviours are elicited when a familiar context activates cue‐behaviour associations that have been learned through previous performance. A core hypothesis within habit theory is that, by virtue of its automaticity, habit weakens the impact of intention on action, such that in facilitating conditions, action will be guided more by habit than momentary intentions. This has led to recommendations that habit formation be harnessed as a mechanism for sustaining desirable behaviour over time, when people would otherwise relapse due to loss of motivation. This article reviews theory and evidence around the hypothesized interaction between habit and intention as determinants of behaviour. We first qualify the hypothesis by clarifying that it pertains only to determinants of the instigation of action, rather than execution. Next, drawing on a systematic review of 52 behaviour‐prediction studies, we highlight mixed empirical support for the interaction. We argue that ostensibly inconsistent findings can be reconciled by recognizing the distinction between the direction and strength of intention, and identifying the “facilitating conditions” that may determine the relative influence of habit and intention on behaviour. Evidence demonstrates that when self‐control is diminished, people act habitually regardless of intention direction or strength. When people possess self‐control, habits can help people to act on favourable but weakened intentions, but intentions that oppose habitual tendencies can override habitual influence. This has important implications for behaviour change: even if habit has formed, a minimal level of favourable conscious motivation may be required to sustain behaviours over time. Social psychology might fruitfully move beyond asking whether habit moderates the intention‐behaviour relationship, and instead probe how and in which conditions habits and intentions interact.     

The Role of Self‐identity in the Theory of Planned Behavior: A Meta‐Analysis

The present study used meta‐analysis to evaluate the role of self‐identity in the theory of planned behavior (TPB). Altogether, 40 independent tests (N = 11607) could be included in the review. A large, sample‐weighted average correlation between self‐identity and behavioral intention was observed (r₊ = .47). Multiple regression analyses showed that self‐identity explained an increment of 6% of the variance in intention after controlling for the TPB components, and explained an increment of 9% of the variance when past behavior and the TPB components were controlled. The influence of self‐identity on behavior was largely mediated by the strength of behavioral intentions. Theoretical implications of the findings are discussed.     

The social identity theory of leadership: Theoretical origins,research findings,and conceptual developments

Over the past decade the social identity theory of leadership (Hogg, 2001a; Hogg & van Knippenberg, 2003) has reinvigorated social psychological research on leadership by reconnecting leadership to the social psychology of influence, and by explicitly elaborating on the (social) identity function, and associated social cognitive and social interactive processes, associated with leadership. The main tenet is that group prototypical leaders are better supported and more trusted, and are perceived as more effective by members than are less prototypical leaders; particularly when group membership is a central and salient aspect of members’ identity and members identify strongly with the group. This hypothesis has attracted unequivocal support across numerous studies, research teams, and research paradigms. In this article we describe the social identity theory of leadership and its conceptual origins, and overview the state of evidence. The main focus of the article is on new conceptual developments and associated empirical advances; including the moderating roles of uncertainty, group innovation and creativity, deviance, “norm talk”, charisma, fairness, as well as the extension of the social identity theory of leadership to an intergroup context. Throughout we identify directions for future empirical and conceptual advances.     

Habit as moderator of the intention–physical activity relationship in older adults: a longitudinal study

This longitudinal study examined whether habit strength moderates the intention–physical activity (PA) relationship in older adults, within the framework of the attitude–social influences–efficacy (ASE) model and the theory of planned behaviour (TPB). A total of 1836 older adults (M _age?=?62.95?years, SD _age?=?8.17) completed a questionnaire on social cognitive constructs and PA habit strength at baseline, and six?months later a measure of PA. Three PA habit groups (i.e. low, medium and high) were composed, based on tertiles of the mean index score. Multi-group structural equation modelling analyses showed that intention significantly determined PA behaviour only in participants with a low or medium habit strength towards PA. This result suggests that PA is not intentional at high levels of habit strength and demonstrates the usefulness of incorporating habit in the ASE and TPB models. Results also showed that about half of the participants with a strong PA habit did not meet the recommended PA level. As strong habits may prevent intentional behavioural change and may hinder the receptiveness and openness for informational PA change strategies, additional intervention strategies, such as awareness raising and the use of implementation intentions, are needed for strongly habitual, but insufficiently active older adults.     

It’s how you say it – The extended Theory of Planned Behaviour explains active transport use in cardiac patients depending on the type of self-report in a hypothesis-generating study

Physical activity (PA) plays an essential part in the secondary prevention of persons with coronary heart disease (CHD). A substantial amount of PA can be gained through increasing the use of active transport modes (walking or cycling for at least 10 min/day) in CHD patients’ daily routine, benefiting the mortality and morbidity rate as well as the environment. The current study aims to investigate the utility of the Theory of Planned Behaviour (TPB) framework extended with habit strength, in understanding the behavioural intention and the behaviour of using active transport modes during the daily travel routine of CHD patients. A cross-sectional survey was conducted from 131 CHD patients. The behaviour was measured using three self-report methods; 1) scale measure, the walking or cycling frequency, 2) direct ATS (Active Travel Score, PA calculated by the directly reported aggregated time spent per day for walking or cycling for travel purposes), and 3) indirect ATS (PA calculated by combining the duration spent on trips by walking and cycling from the self-reported one-day travel diary). Additionally, the participants completed surveys on the direct measures of TPB constructs and habit strength. The results indicated that the TPB constructs explained a 38% variance in the intention to use active transport modes of CHD patients, by which the variance increased to 59% with the addition of habit strength. On the contrary, different behavioural measures were explained differently by TPB and habit strength. The scale measure of behaviour was best predicted (up to 21%) by TPB and habit strength. However, the direct and indirect measures of behaviour were poorly explained (up to 3% and 10% only, respectively). Habit strength moderated the relationship between behaviour (scale measure) and behavioural intention. Surprisingly, higher behavioural intention resulted in a lower behavioural frequency when the habit strength to be active is low. This suggests a limited control over the behaviour thus indicating the intention-behaviour gap. The current study findings highlight the inconsistent predictive utility of TPB across different types of behavioural self-report measures, targeted at the use of active transport modes in CHD patients. However, considering this study as hypothesis-generating, further research is necessary to replicate and extend these findings.     

Behavioral Treatment of Self-Choking in a Developmentally Normal Child

ABSTRACT

In the past, self-choking behavior has been associated with individuals who were either developmentally disabled or experienced psychosis symptoms, and has usually been treated with aversive procedures. A time-series design using several different non-aversive behavioral procedures was used to analyze these treatment effects on an 11-year-old girl whose habit of self-choking interfered with normal functioning. Habit reversal procedures, which implement an incompatible response in place of the target behavior, did not, as first hypothesized, have a positive effect on self-choking behavior. However, attention from a male therapist as a positive reinforcer initially decreased the frequency of self-chokes and percent of time spent self-choking. Attention contingent on performance was not as effective on the child's behavior as attention administered noncontingently. Overall, the behavioral treatment approach applied here does not appear to reduce the target behavior in a clinically significant manner. Implications for future treatment approaches for this behavior are discussed.