General vs. domain specific recycling behaviour—Applying a multilevel comprehensive action determination model to recycling in Norwegian student homes

This paper reports the results of a multilevel structure equation model predicting general and fraction specific self-reported recycling behaviour. The model was tested on a sample of 697 undergraduate students from four Norwegian universities who each reported their degree of participation in the local recycling schemes for paper/cardboard, glass, metal, and plastic. It was demonstrated that variance in recycling behaviour can be divided into a smaller general part that is relatively stable across waste fractions and a specific part that depends on the respective fraction. General recycling behaviour is well predicted by intentions to recycle and recycling habits, whereas perceived behavioural control is to a large extend fraction specific and influences the fraction specific recycling. Perceived behavioural control mediates the influence of the recycling scheme type, distance to recycling containers, and transport mode used to reach the recycling containers.     

Predicting pool safety habits and intentions of Australian parents and carers for their young children

Introduction: Children under five years are most at risk of experiencing fatal and nonfatal drowning. The highest proportion of drowning incidents occur in private swimming pools. Lapses in adult supervision and failures in pool barriers are leading contributory factors for pool drowning in this age group. Methods: We investigated the role of the theory of planned behavior social cognitions (attitude, subjective norm, and perceived behavioral control) as well as perceived barriers, planning, role construction, and anticipated regret on parents’ and carers’ intentions and habits toward two pool safety behaviors: restricting access and supervising children around private swimming pools. The study adopted a cross-sectional correlational design. Participants (N = 509) comprised Australian parents or caregivers with children aged under five years and access to a swimming pool at their residence. Participants completed a battery of self-report measures of social cognitive variables with respect to the swimming pool safety behaviors for their children. Results: Path analytic models controlling for past behavior indicated that subjective norm, planning, anticipated regret, and role construction were important predictors of habit, and subjective norm was a consistent predictor of intentions, for both behaviors. Planning predicted intentions in the restricting access sample, while attitudes, barriers, and role construction also predicted intentions in the supervising sample. Both models controlled for past behavior. Conclusion: Current findings indicate the importance of psychological factors for restricting access and supervising behaviors, with normative factors prominent for both reasoned (intentions) and non-conscious (habits) behavioral antecedents. It seems factors guiding restricting access, which likely require regular enactment of routine behaviors (e.g., ensuring gate is not propped open, pool fence meets standards), may be governed by more habitual than intentional processes.     

A comprehensive action determination model: Toward a broader understanding of ecological behaviour using the example of travel mode choice

This paper examines a first version of a Comprehensive Action Determination Model (CADM) of ecological behaviour that incorporates intentional, normative, situational, and habitual influences on environmentally friendly behaviour. The main assumptions of the theory of planned behaviour (TPB), the norm-activation model (NAM), the theoretical concept of habit and the ipsative theory of behaviour were integrated into a comprehensive model. The model was tested using a structural equation modelling approach on a sample of 389 students in the domain of travel mode choice and compared to established less comprehensive models (TPB, NAM and a combination of both). The results show that all compared models had a good to excellent model fit and explained a substantial amount of variation in travel mode choice. The CADM, however, explained the greatest degree of variation as compared with the other models, at 65%. Subjective and objective situational constraints were responsible for most of the variation in travel mode choice in the CADM, but intentions and habits also had a significant impact. The influence of social and personal norms was mediated by habits and intention, while habits moderated the relationship between intention and behaviour. The importance of the CADM as a framework for other domains of ecological behaviour is also discussed.     

Unpacking the black box of cleaner technology

This paper scrutinizes the concept of cleaner technology, drawing on both a review of the literature and case study analysis of new data. By analysing the intentions behind innovations as separate from outcomes, a complex relationship between intentions and outcomes, as well as between different motives, is revealed. The paper argues that cleaner technology is not in fact a type of technology, that the concept obscures the role of underlying environmental motives and ambitions and that cleaner technology innovations do not necessarily deliver the economic gains they are normally understood to do.