Human meat consumption is associated with a variety of risks to health, animal welfare, sustainability, and the environment (including greenhouse gas emissions and loss of biodiversity), prompting a growing research effort to develop psychological interventions to reduce it and encourage alternative diets. At the same time, although meat consumption remains the majority choice in the UK, its prevalence is declining, with the proportion of vegetarians and vegans increasing substantially over the last two decades.

 

One potential tool to accelerate behaviour change is to expose people to “dynamic norm” messaging, which, rather than providing static descriptive information about the prevalence of a desired behaviour, emphasises how the desired behaviour is changing over time so that people can begin to conform to the emerging trend. Although promising in theory, previous research offers mixed evidence on the effectiveness of dynamic norms in encouraging a reduction in meat consumption, with some studies suggesting benefits and others showing no effect or even counterproductive effects. The methodological rigour of some studies is also in question.

 

In the present study, Aldoh et al. (2023) investigated the effectiveness of dynamic norm information (compared to static norms) on several indicators of meat consumption, including interest, attitudes, and intentions toward reducing meat consumption, as well as self-reported meat consumption itself. Using an online sample of ~1500 participants, the authors also tested the role of visual cues (including data trend graphics) in causing any effects and explored the potential longevity of the intervention over a period of 7 days. Results revealed moderate evidence for no net effect of dynamic (compared to static) norm information on meat consumption outcomes, nor any positive change over the 7-day period. However, the addition of visual cues enhanced the effect of dynamic norm messages, suggesting potential avenues for increasing the potency of future messaging interventions.

 

The Stage 2 manuscript was evaluated over one round of in-depth review, following which the recommender judged that the manuscript met the Stage 2 criteria and awarded a positive recommendation.

 

 

Level of bias control achieved: Level 6. No part of the data or evidence that was used to answer the research question was generated until after IPA. 

 

 

  

1. Aldoh, A., Sparks, P. & Harris, P. R. (2023). Communicating dynamic norm information [Stage 2]. Acceptance of Version 1 by Peer Community in Registered Reports. https://doi.org/10.31234/osf.io/tac3j

Human meat consumption is associated with a variety of risks to health, animal welfare, sustainability, and the environment (including greenhouse gas emissions and loss of biodiversity), prompting a growing research effort to develop psychological interventions to reduce it and encourage alternative diets. At the same time, although meat consumption remains the majority choice in the UK, its prevalence is declining, with the proportion of vegetarians and vegans increasing substantially over the last two decades.

 

One potential tool to accelerate behaviour change is to expose people to “dynamic norm” messaging, which, rather than providing static descriptive information about the prevalence of a desired behaviour, emphasises how the desired behaviour is changing over time so that people can begin to conform to the emerging trend. Although promising in theory, previous research offers mixed evidence on the effectiveness of dynamic norms in encouraging a reduction in meat consumption, with some studies suggesting benefits and others showing no effect or even counterproductive effects. The methodological rigour of some studies is also in question.

 

In the present study, Aldoh et al. (2022) will investigate the effectiveness of dynamic norm information (compared to static norms) on several indicators of meat consumption, including interest, attitudes, and intentions toward reducing meat consumption, as well as self-reported meat consumption itself. Using an online sample up to 1500 participants, the authors will also test the role of visual cues (including data trend graphics) in causing any effects and will explore the potential longevity of the intervention over a period of 7 days.

 

The Stage 1 manuscript was evaluated over two rounds of in-depth review. Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance (IPA).

 

 

Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA. 

 

 

  

1. Aldoh, A., Sparks, P. & Harris, P. R. (2022). Communicating dynamic norm information, in principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/txzvm