The reward value of a stimulus is based on an error in prediction: Things going better than predicted. Could this learning principle, often tested on short acting stimuli, also apply to a long lasting episode, like going for a run? Could how rewarding a run is be based on the run going better than predicted?

 

Understanding the conditions under which exercise is pleasurable could of course be relevant to tempting people to do more of it! Brevers et al. (2023) will ask people before a daily run to predict the amount of perceived exertion they will experience; then just after the run, to rate the retrospective amount of perceived exertion actually experienced. The difference between the two ratings is the prediction error.

 

Participants will also rate their remembered pleasure in running and the authors will investigate whether running pleasure depends on prediction error.
 
The study plan was refined across four rounds of review, with input from two external reviewers and the recommender, after which it was judged to satisfy the Stage 1 criteria for in-principle acceptance (IPA).

 

URL to the preregistered Stage 1 protocol: https://osf.io/xh724
 
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. Brevers, D., Martinent, G., Oz, I. T., Desmedt, O. & de Geus, B. (2023). Do error predictions of perceived exertion inform the level of running pleasure? In principle acceptance of Version 5 by Peer Community in Registered Reports. https://osf.io/xh724

Previous research has demonstrated that experimental participants – both adults and infants – can track syllable co-occurrences in an artificial speech stream. This statistical learning (SL) is thought to support word segmentation and to be a core component of language acquisition. There is also some evidence that SL, as measured through artificial language tasks, is related to individual differences in language learning. What is not well understood is the underpinnings of individual differences in SL. In the current study, van der Wulp et al. (2023) will investigate the relationship between auditory SL and musical – specifically rhythmic – abilities. This work takes advantage of recent methodological innovations which allow online assessment of SL via electroencephalography (EEG) measures of neural entrainment. Up to N=105 participants will be recruited (using a well specified optional stopping procedure) and will be exposed to an artificial language using this EEG method to measure their response to the language through the exposure phase. In addition, post-tests will assess participants’ learning of the artificial language using behavioural tasks, as well as their abilities in a battery of tasks measuring rhythmic, musical, and cognitive abilities, and their vocabulary size. Core analyses will investigate whether the neural signature of statistical learning is found at a group level (i.e. replicating previous work) and whether at the individual level this is related to rhythm perception. Bayes factors will be used to assess the extent of evidence for these hypothesized relationships over the null. Exploratory analyses will explore other relationships, including with working memory and vocabulary size. 

 

The topic of individual differences in language learning and is important, but work in this area is often underpowered, and the correlational nature of the research makes it vulnerable to HARKing. In this context, the current RR looks set to make an important contribution. The Stage 1 manuscript was evaluated over two rounds of in-depth review by the recommender and two expert reviewers, and one additional round of review by the recommender, before issuing in-principle acceptance.

 

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:
 

• Advances in Cognitive Psychology
• Brain and Neuroscience Advances
• Collabra: Psychology
• Cortex
• Experimental Psychology
  
• Imaging Neuroscience
• In&Vertebrates
• Journal of Cognition
• NeuroImage: Reports
• Peer Community Journal
• PeerJ
• Royal Society Open Science
• Studia Psychologica

 

References
 
1. van der Wulp, I. M., Struiksma, M. E., Batterink, L. J., & Wijnen, F. N. K. (2023). Investigating individual differences in linguistic statistical learning and their relation to rhythmic and cognitive abilities: A speech segmentation experiment with online neural tracking. In principle acceptance of Version 4 by Peer Community in Registered Reports. https://osf.io/2y6sx

 

In the past two decades, most academic fields have witnessed an open science revolution that has led to significant increases in open access publishing, reproducibility efforts, and scientific transparency in general (e.g., Spellman et al. 2018). One of the key areas in this ongoing change is data sharing. Although some evidence already points at progress in data sharing practices, many new datasets remain unshared (see Tedersoo et al. 2021).
 
In the present registered report, Henderson et al. (2023) empirically explore the factors that either hinder or facilitate data sharing in the UK. By means of semi-structured interviews, the team will chart researchers’ experiences of sharing and non-sharing. Thematic template analysis will be applied to organise the data into a hierarchical map of capabilities, opportunities, and motivations in a theoretical domains framework (COM-B-TDF). The research plan itself meets the highest open science standards and reflects on the authors own positions, from which the current qualitative interview data sharing efforts will be made.
 
The Stage 1 manuscript was reviewed over three rounds by three experts with familiary of the UK cultural context and specializations in open science practices, qualitative research, and data infrastructures. Based on careful revisions and detailed responses to the reviewers’ comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance.
 
URL to the preregistered Stage 1 protocol: https://osf.io/2gm5s (under temporary private embargo)
 
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. Henderson, E., Marcu, A., Atkins, L. & Farran, E.K. (2023). Investigating the barriers and enablers to data sharing behaviours: A qualitative Registered Report. In principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/2gm5s

 

2. Spellman, B. A., Gilbert, E. A. & Corker, K. S. (2018). Open Science. Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, 5, 1-47. https://doi.org/10.1002/9781119170174.epcn519

 

3. Tedersoo, L., Küngas, R., Oras, E., Köster, K., Eenmaa, H., Leijen, Ä., ... & Sepp, T. (2021). Data sharing practices and data availability upon request differ across scientific disciplines. Scientific data, 8, 192. https://doi.org/10.1038/s41597-021-00981-0

For centuries, the ubiquity of language and music across human societies has prompted scholars to speculate about their cross-cultural origins as well as their shared and unique characteristics. Depending on the extent to which contemporary theories emphasise the role of biology vs. culture, a range of hypotheses have been proposed concerning expected similarities and differences in song and speech. One class of hypotheses stemming from cultural relativism assumes a lack of universal regularities in song and speech, and therefore predicts no systematic cross-cultural relationships. On the other hand, more recent evolutionary hypotheses such as the social bonding hypothesis, motor constraint hypothesis, and sexual selection hypothesis all predict differences or similarities in specific characteristic of vocalisations, such as pitch regularity, pitch interval size, and melodic contour. Existing results are mixed in their support of these predictions.

 

In the current study, Ozaki et al. (2023) elucidated cross-cultural similarities and differences between speech and song in 75 different linguistic varieties spanning 21 language families. Understanding precisely how song and speech are related is methodologically challenging due to the multitude of confounds that can arise in comparing natural recordings. Here the authors overcame these difficulties with four types of carefully controlled recordings: singing, recitation of sung lyrics, spoken description of the song, and instrumental version of the sung melody. The authors then examined six features that are amenable to reliable comparison, including pitch height, temporal rate, pitch stability, timbral brightness, pitch interval size, and pitch declination. With this data in hand, the authors asked which acoustic features differ reliably between song and speech across cultures, with the expectation that song would exhibit higher pitch, slower rate and more stable pitch than speech. At the same time, the authors expected song and speech to be reliably similar in the characteristics of timbral brightness, pitch intervals and pitch contours

 

The findings provided strong support for the preregistered hypotheses. Relative to speech, songs exhibited higher pitch, slower temporal rate, and more stable pitches, while both songs and speech had similar pitch interval size and timbral brightness. Only one hypothesis was unsupported, with the comparison of pitch declination between song and speech turning out inconclusive. To overcome potential sources of analytic bias, the authors undertook additional robustness checks, including reanalysis of a previously published dataset of over 400 song/speech recordings; this exploratory analysis corroborated the conclusions from the confirmatory analysis. Overall this study offers a unique insight into the shared global characteristics of langage and music, with implications for understanding their cultural and biological (co)evolution.

 

The Stage 2 manuscript was evaluated over one round of in-depth review. Based on responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 2 criteria and therefore awarded a positive recommendation.

 

 

Level of bias control achieved: Level 2. At least some data/evidence that was used to answer the research question had been accessed and partially observed by the authors, but the authors certify that they had not yet observed the key variables within the data that were be used to answer the research question AND they took additional steps to maximise bias control and rigour.

 

 

 

1. Ozaki, Y. et al. (2023). Globally, songs and instrumental melodies are slower, higher, and use more stable pitches than speech [Stage 2 Registered Report]. Acceptance of Version 11 by Peer Community in Registered Reports. https://doi.org/10.31234/osf.io/jr9x7

The Psychological Research Preregistration-Quantitative Template has been created in 2022 to provide more structure and detail to preregistrations. The goal of the current study is to test if the PRP-QUANT template indeed provides greater restriction of the flexibility in a study for preregistered hypotheses than other existing templates. This question is important because one concern that has been raised about the practice of preregistration is that the quality of preregistrations is often low. Metascientific research has shown that preregistrations are often of low quality (Bakker et al., 2020), and hypothesis tests from preregistrations are still selectively reported (van den Akker, van Assen, Enting, et al., 2023). It is important to improve the quality of preregistrations, and if a better template can help, it is a cost-effective approach to improve quality if the wider adoption of the better template can be promoted. 

 

In the current study, Spitzer and Mueller (2024) will follow the procedure of a previous meta-scientific study by Heirene et al. (2021). 74 existing preregistrations with the PRP-QUANT template are available, and will be compared with an existing dataset coded by Bakker and colleagues (2020). The sample size is limited, but allows detecting some differences that would be considered large enough to matter, even though there might be smaller differences that would not be detectable based on the currently available sample size. Nevertheless, given that there is a need for improvement, even preliminary data might already be useful to provide tentative recommendations. Restrictiveness will be coded in 23 items, and adherence to or deviations from the preregistration are coded as well. As such deviations are common, the question whether this template reduced the likelihood of deviations is important. Two coders will code all studies. 

 

The study should provide a useful initial evaluation of the PRP-QUANT template, and has the potential to have practical implications if the PRP-QUANT template shows clear benefits. Both authors have declared COI's related to the PRP-QUANT template, making the Registered Report format a fitting approach to prevent confirmation bias from influencing the reported results. 

 

This Stage 1 manuscript was evaluated over two rounds of in-depth review by two expert reviewers and the recommender. After the revisions, 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/vhezj
 
Level of bias control achieved: Level 3. At least some data/evidence that will be used to the answer the research question has been previously accessed by the authors (e.g. downloaded or otherwise received), but the authors certify that they have not yet observed ANY part of the data/evidence.
 
List of eligible PCI RR-friendly journals:
 

 

 

1. van den Akker, O. R., van Assen, M. A. L. M., Bakker, M., Elsherif, M., Wong, T. K., & Wicherts, J. M. (2023). Preregistration in practice: A comparison of preregistered and non-preregistered studies in psychology. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02277-0

 

2. Bakker, M., Veldkamp, C. L. S., Assen, M. A. L. M. van, Crompvoets, E. A. V., Ong, H. H., Nosek, B. A., Soderberg, C. K., Mellor, D., & Wicherts, J. M. (2020). Ensuring the quality and specificity of preregistrations. PLOS Biology, 18(12), e3000937. https://doi.org/10.1371/journal.pbio.3000937

 

3. Spitzer, L. & Mueller, S. (2024). Stage 1 Registered Report: Restriction of researcher degrees of freedom through the Psychological Research Preregistration-Quantitative (PRP-QUANT) Template. In principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/vhezj

 

4. Heirene, R., LaPlante, D., Louderback, E. R., Keen, B., Bakker, M., Serafimovska, A., & Gainsbury, S. M. (2021). Preregistration specificity & adherence: A review of preregistered gambling studies & cross-disciplinary comparison. PsyArXiv. https://doi.org/10.31234/osf.io/nj4es