Research on interviewing has often focused on topics (such as aiding memory of witnesses) which presume the interviewee has already correctly identified the precise information that the interviewer is really after. But how does an informant know what sort of information is asked for, a precondition for an informant to then choose to provide the information or withhold it (depending on their own interests)?

 
In this study, Neequaye and Lorson will ask subjects to take the role of an informant about a criminal gang, with the further instructions to be cooperative or resistant in helping the interviewer obtain the information they want. In one study, the participants will be asked merely to identify what information the interviewer wants. In the second study, the participants will answer the interviewer's questions, disclosing whatever information they feel best suits their interest. Crucially, the level of detail of the questions will be manipulated, such that the question specifies a clear objective or not.

The Stage 1 manuscript was evaluated over three rounds of in-depth review. Based on detailed responses to the reviewers’ comments and edits to the stage 1 report, 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/82qtn
 
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. Neequaye, D. A., & Lorson, A. (2022). How Intelligence Interviewees Mentally Identify Relevant Information, in principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/82qtn

When interviewing members of a criminal network, what determines the information a given interviewee chooses to disclose, as guided by the network's collective planning? What principles could help inform a detective preparing for such interviews? In the current study, Neequaye et al. recruited groups of people known to each other to assume the role of networks that run an illegal sports betting business, fronting as a chain of tanning salons. Although each network launders money, they have to come up with a strategy to convince investigators they are legit. The groups are motivated to disclose some information when individuals are interviewed, but only enough to appear cooperative. Members disclosed information they perceived would yield benefical outcomes, but the extent to which members disclosed varied substantially according to the groups they were in.

 

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

 

URL to the preregistered Stage 1 protocol: https://osf.io/n7ugr
 
Level of bias control achieved: Level 6. Data collection began during the final round of Stage 1 peer review. Since no further revisions were made after this review round, the risk of bias due to prior data observation remained zero, and the manuscript therefore qualified for Level 6.

 

 

• F1000Research
• Peer Community Journal
• PeerJ
• Royal Society Open Science
• Swiss Psychology Open

 

References
 
1. Neequaye, D. A., Granhag, P. A. & Luke, T. J. (2023). Exploring How Members of Illicit Networks Navigate Investigative Interviews. Acceptance of Version 3 by Peer Community in Registered Reports. https://doi.org/10.31234/osf.io/f3ct4

Vocal sounds, including both speech and non-speech sounds, have been found to activate the Superior Temporal Sulci and Gyri in comparison to non-vocal sounds. These regions, termed Temporal Voice Areas (TVAs), are considered to be involved in early voice processing and therefore critical for social interaction. TVA activation has been examined in Autism Spectrum Disorder (ASD) to determine if the characteristic difficulties in social communication and interaction are linked to an impaired early voice processing. Using functional magnetic resonance imaging (fMRI), one study found typical brain activation in TVAs for 15 out of 16 autistic participants (Schelinski et al., 2016), whereas another found atypical activation in 4 out of 5 autistic participants (Gervais et al., 2004).

 

Here, the inconsistencies in the previous literature propel Gautier et al. (2023) to examine brain activation of TVAs with a larger sample size (26 ASD and 26 non-ASD participants). Gautier et al. (2023) will present vocal sounds and non-vocal sounds to both groups of participants during fMRI and predict that fewer participants in the ASD group will show a preferential response to voices in TVAs compared to the non-ASD group. These results would suggest that symptoms of ASD interfere with early stages of social interaction, at the level of voice processing.

 

This Stage 1 manuscript was evaluated in an initial round by the co-recommenders and another two rounds of in-depth review by two expert reviewers. With these revisions, the recommenders 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/538m4
 
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. Gautier, R., Houy-Durand, E., Barantin, L., Briend, F. & Latinus, M. (2023). Cortical voice processing in Autism Spectrum Disorder. In principle acceptance of Version 4 by Peer Community in Registered Reports. https://osf.io/538m4

An interviewee in an intelligence interview can face competing interests in disclosing information: The value in cooperating because, for example, information given leads to the arrest of a narcotics gang, making the neighbourhood safer; and the risk that disclosing the information leads to reprisals from the gang. Different pieces of information will compete with each other for disclosure, depending on this balance of risks to self-interest. According to the disclosure-outcomes management model of Neequaye et al., information will be disclosed more with a high than low probability of reward, as might be straightforwardly expected, but this difference will be larger when there is a low probability of cost rather than a high probability. The high probability of cost will induce more a variable response to the possible benefits.

Neequaye et al. (2024) invited participants to assume the role of an informant, with the goal of maximizing their points according to stated probabilities of costs and benefits of disclosing pieces of information relating to given scenarios. The degree to which each type of information was disclosed in a subsequent interview wase assessed. Perceived benefits positively influenced the likelihood of disclosing information. The crucial interaction, obtained in a Pilot study, was not significant in the pre-registered replication. The study had decent power to pick up an interaction the same size as found in the pilot, but not half the size, which would still have been interesting.

 

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

 

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.
 
List of eligible PCI RR-friendly journals:

 

 

 

Neequaye, D. A., Luke, T. J., & Kollback, K. (2024). Managing Disclosure Outcomes in Intelligence Interviews [Stage 2]. Acceptance of Version 11 by Peer Community in Registered Reports. https://doi.org/10.31234/osf.io/tfp2c

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