Anthropomorphism is a widespread phenomenon in which people instil non-human entities or objects with human-like characteristics, such as motivations, intentions, and goals. Although common, the tendency to anthropomorphise varies between people, and a growing body of psychological research has examined the importance of various individual differences. One major theoretical account of anthropomorphism (Epley et al. 2007) suggests that sociality motivation – the drive to establish social relationships – is a key moderator of the phenomenon. In support of this account, some evidence suggests that people who experience greater loneliness (a proposed marker of sociality motivation) are more likely to anthropomorphise. In an influential series of studies, Epley et al. (2008) found that anthropomorphism and loneliness were positively correlated and that inducing participants experimentally to feel more lonely led to greater anthropomorphism. Later studies, however, produced more mixed results, particularly concerning the effectiveness of the experimental interventions.

 

In the current study, Elsherif et al. (2022) propose a partial replication of Epley et al. (2008), focusing on the correlational relationship between anthropomorphism and loneliness, with extensions to examine free will beliefs, anthropomorphism for supernatural beings (in addition to objects/gadgets), and the extent to which participants judged objects/gadgets to be controllable.

 

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).
 
URL to the preregistered Stage 1 protocol: https://osf.io/by89c

 

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. 
 
List of eligible PCI RR-friendly journals:

 

 

1. Epley, N., Waytz, A., & Cacioppo, J. T. (2007). On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114, 864–886. https://doi.org/10.1037/0033-295X.114.4.864 

 

2. Epley, N., Akalis, S., Waytz, A., & Cacioppo, J. T. (2008). Creating social connection through inferential reproduction: Loneliness and perceived agency in gadgets, Gods, and greyhounds. Psychological Science, 19, 114–120. https://doi.org/10.1111/j.1467-9280.2008.02056.x 

 

3. Elsherif, M., Pomareda, C., Xiao, Q., Chu, H. Y., Tang, M. C., Wong, T. H., Wu, Y. &  Feldman, G. (2022). Revisiting the positive association between loneliness and anthropomorphism with an extension to belief in free will: Replication and extensions of Epley et al. (2008), in principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/by89c

The sunk cost fallacy is a cognitive bias in which people persist with a decision that is no longer optimal because of previous resources they have invested (now considered to be spent or “sunk”). Most of us will have heard sunk costs reflected in the saying “throwing good money after bad”, but sunk costs can, in theory, occur more broadly, whether for money, time or any other resource-limited investment. The sunk cost effect for money has been widely studied and appears robust; in contrast, the sunk cost effect for time is more uncertain, and is potentially moderated by the age of respondents (and likely resource availability), the fact that time is irreplaceable, and the tendency for people to account for time less easily than they do for money. In an impactful study, Soman (2001) found that the sunk cost effect for time was indeed weaker than for money, although this finding has not been widely replicated.

 

In the current study, Petrov et al. (2023) propose a replication of three studies from Soman (2001), asking whether sunk costs are weaker for time than for money, and then testing whether the relative absence of a sunk time cost arises from the inability of participants to account for time or due to more rational beliefs in the evaluation of past time investments.

 

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).
 
URL to the preregistered Stage 1 protocol: https://osf.io/65htv

 

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. 
 
List of eligible PCI RR-friendly journals:

 

 

1. Soman, D. (2001). The mental accounting of sunk time costs: Why time is not like money. Journal of Behavioral Decision Making,14, 169-185. https://doi.org/10.1002/bdm.370

 

2. Petrov, N. B., Chan, Y. K., Lau, C. N., Kwok, T. H., Chow, L. C., Lo, W. Y. V, Song W., & Feldman, G. (2023). Sunk cost effects for time versus money: Replication of Soman (2001) [Registered Report Stage 1], in principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/u34zb

A convergence of evidence suggests that early life adversity may cause dysfunction in opioid-sensitive reward systems. Childhood adversity is associated with opioid use, potentially by altering reward and motivation networks, and experimental models in animals have found that early life adversity increases and consolidates opioid seeking behaviours. Further, in a recent controlled experiment, Carlyle et al. (2021) found that opioid administration produced stronger positive responses, and weaker negative responses, in adults with a history of childhood abuse and neglect.

 

In the current study, Carlyle et al. seek to test the generalisability of these previous findings in a pre-operative clinical setting. Using partially observed data from an existing cohort study (N=155), the authors will test whether patients with greater experience of childhood trauma in turn exhibit a larger mood boost and express greater subjective pleasure following opioid administration. Although not a randomised experimental design, this study provides the opportunity to examine the relationship between opioid response and history of childhood adversity in a naturalistic setting, and thus has the potential to either support or cast doubt on the theory that adversity elevates risk of opioid addiction by altering sensitivity to subjectively pleasurable effects.

 

Following three rounds of in-depth review, the recommender judged that the manuscript met the Stage 1 criteria and awarded in-principle acceptance (IPA).
 
URL to the preregistered Stage 1 protocol: https://osf.io/7ymts
 
Level of bias control achieved: Level 2. At least some data/evidence that will be used to answer the research question has been accessed and partially observed by the authors, but the authors certify that they have not yet observed the key variables within the data that will be used to answer the research question AND they have taken additional steps to maximise bias control and rigour. 

 

List of eligible PCI RR-friendly journals:
 

 

1. Carlyle M., Broomby R., Simpson G., Hannon R., Fawaz L., Mollaahmetoglu O.M., Drain, J., Mostazir, M., & Morgan C. (2021). A randomised, double‐blind study investigating the relationship between early childhood trauma and the rewarding effects of morphine. Addiction Biology, 26(6):e13047.

 

2. Carlyle, M., Kvande, M., Leknes, S., Meier, I., Buen, K., Jensen, E. N., Ernst, G. & Eikemo, M. (2022). Does childhood adversity alter opioid drug reward? A conceptual replication in outpatients before surgery, in principle acceptance of Version 4 by Peer Community in Registered Reports. https://osf.io/7ymts

Understanding and mitigating the environmental effects of human expansion is crucial for ensuring long-term biosustainability. Recent research indicates a steep increase in urbanisation – including the expansion of cities – with global urban extent expanding by nearly 10,000 km^2 per year between 1985 and 2015 (Liu et al, 2020). The consequences of these human modified environments on animal life are significant: in order to succeed, species must adapt quickly to environmental changes, and those populations that demonstrate greater behavioural flexibility are likely to cope more effectively. These observations have, in turn, prompted the question of whether enhancing behavioural flexibility in animal species might increase their resilience to human impacts.

 

In the current research, Logan et al. (2022) will use a serial reversal learning paradigm to firstly understand how behavioural flexibility relates to success in avian species that are already successful in human modified environments. The authors will then deploy these flexibility interventions in more vulnerable species to establish whether behavioural training can improve success, as measured by outcomes such as foraging breadth, dispersal dynamics, and survival rate.

 

The Stage 1 manuscript was submitted via the programmatic track and will eventually produce three Stage 2 outputs focusing on different species (toutouwai, grackles, and jays). Following two rounds of in-depth review, the recommender judged that the manuscript met the Stage 1 criteria and awarded in-principle acceptance (IPA).

 

URL to the preregistered Stage 1 protocol: https://osf.io/346af
 
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. 
 
List of eligible PCI RR-friendly journals:
 

 

References
 

1. Liu, X., Huang, Y., Xu, X., Li, X., Li, X., Ciais, P., Lin, P., Gong, K., Ziegler, A. D., Chen, A., et al. (2020). High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015. Nature Sustainability, 1–7. https://doi.org/10.1038/s41893-020-0521-x

 

2. Logan, C.J., Shaw, R., Lukas, D. & McCune, K.B. (2022). How to succeed in human modified environments, in principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/346af

Screening instruments that aim to provide diagnostic classifications of gaming-related health problems derive from different ontologies and it is not known whether they identify equivalent prevalence rates of ‘gaming disorder’ or even the same individuals. Underpinned by this, Karhulahti et al. (2022) assessed how screening instruments that derive from different ontologies differ in identifying associated problem groups. A nationally representative sample of 8217 Finnish participants completed four screening measures to assess the degree of overlap between identified prevalence (how many?), who they identify (what characteristics?) and the health of their identified groups (how healthy?).

 

The results indicate that measures based on the ICD-11, DSM-5, DSM-IV, and self-assessment appear to be associated with lower mental health. However, these measures of gaming-related health problems differed significantly in terms of prevalence and/or overlap, suggesting that they identify different groups of people and that different problems or constructs are being measured by different instruments. These findings are important because they contribute to the rapidly growing literature on the ‘fuzziness’ of  constructs and measures relating to technology use. The authors recommend that researchers working with these measures should: (a) define their construct of interest; and (b) evaluate the construct validity of their instruments. Being able to answer these questions will enhance research quality and contribute to strengthened meta-analyses. Importantly, this will prevent hype around gaming-related disorders, allowing researchers to communicate clearly and appropriately without risk of confusing related yet different constructs.

 

The Stage 2 manuscript was evaluated by two of the reviewers who assessed it at Stage 1. Following revision, the recommender judged that the manuscript met the Stage 2 criteria and awarded a  positive recommendation. To ensure that the manuscript met the requirements of the PCI RR TOP guidelines, prior to this acceptance an email communication was sent to the authors by the recommender to ensure that study data were openly available on a temporary OSF link before the final data archive is full validated by the Finnish Social Sciences Data Archive (FSD). This is noted in the recommended preprint.

 

 

Level of bias control achieved: Level 6. No part of the data or evidence that was used to answer the research question existed prior to Stage 1 in-principle acceptance.

 

 

 

 

1. Karhulahti V.-M., Vahlo J., Martončik M., Munukka M., Koskimaa R. and Bonsdorff M. (2022). Ontological Diversity in Gaming Disorder Measurement: A Nationally Representative Registered Report. Peer-reviewed and recommended at Stage 2 by Peer Community in Registered Reports https://psyarxiv.com/qytrs