About the Journal
Aims and Scope
The overall aim of this brand new, peer-reviewed, open-access journal is to showcase the range of high-quality empirical research projects conducted by students within Northumbria University's Department of Psychology.
This journal currently accepts research articles in any area of psychology. Research articles are defined as research studies involving the collection and analysis of primary or secondary data (i.e. human studies or secondary data analyses such as meta-analyses). Reviews (narrative or systematic) are not currently accepted. The data must have formed the basis of the lead author’s undergraduate or postgraduate empirical research project (i.e. thesis/dissertation) within the Northumbria University Department of Psychology.
This journal adopts a fully open access and open science approach. The journal will publish two issues per year (April and October).
Instructions for Authors
Articles should represent an original piece of research, including experimental or theoretical work, applied research or experimental development. The data must have formed the basis of the lead author’s undergraduate or postgraduate empirical research project within the Northumbria University Department of Psychology.
The dissertation supervisor is not required to be included on the manuscript as a co-author, although this is encouraged, with their prior agreement. However, all dissertation supervisors (or a suitable alternative member of staff within the department) must agree to the submission of the research article. A form confirming this must be supplied by the lead author at the time of submission. Articles which have been submitted without the agreement of the supervisor will be retracted by the Editor.
Thesis projects cannot be submitted for publication until the final degree mark has been awarded.
Abstract and keywords
Article manuscripts must include an unstructured abstract of maximum 250 words. The abstract should be submitted on a separate page. Authors will be asked for up to 5 keywords to assist with indexing and discovery.
Submissions should be in Word document (.doc/.docx) and in Arial font, size 12. Article length should be a maximum of 3,000 words. Tables should be kept to a minimum and appropriately labelled in APA format.
Images and figures
Images, figures and tables should be included at an appropriate point in the manuscript. Images should have suitable alt-text supplied for accessibility. Images should be of a high quality and resolution, of their original size or at least 300dpi. Additional supplementary materials should be appropriately labelled.
All cited work should be appropriately referenced in APA style.
Authors are required to provide the raw data necessary to replicate the findings of the study, which will be made publicly available at the time of publication. Datasets should not contain any personal or identifiable information.
Research data must be deposited into Northumbria University’s data repository (Figshare). Further details regarding Figshare can be found here: [LINK]
Authors will also be asked to include a data availability statement in their submission. Data availability statements will be published as part of the article.
Peer Review Policy
All research articles will be subject to double-blind peer review within the department, by at least two independent academic reviewers.
Upon submission, all articles will be subject to editorial review. Submissions which are out of scope of the journal, inadequately written, or inaccurate, will be rejected. We aim to respond to authors with an initial decision within 4 weeks, and for articles which have been peer-reviewed, within 3 months.
Open Access Policy
This journal is a diamond Open Access journal, and no fees will be levied for readers or authors. This journal provides immediate open access to its content and journal does not charge article processing fees, or charge for submission.
Articles are licenced with a CC BY Attribution 4.0 International Licence. You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
This journal will accept articles previously made available as preprints. Authors should declare on submission that their manuscript is available as a preprint and provide a link from their preprinted work to the published article.
Ethics and Misconduct
This journal follows COPE guidelines (https://publicationethics.org/). Northumbria Journals is committed to ensuring high ethical standards across all publications. Author lists should reflect the roles and responsibilities set out in our submission guidance. All authors, peer reviewers and editors are expected to declare any conflict of interest relating to any submitted work. This may include financial interests, including employment, funding or personal financial interest. Authors should disclose any membership of relevant organisations. The publication takes seriously any allegation of misconduct. Cases should be brought to the attention of the Editor-in-Chief for investigation.
AI Authoring Tools & Authorship Policy
Authors who use AI tools in the writing of a manuscript, production of images or graphical elements of the paper, or in the collection and analysis of data, must be transparent in disclosing in the Materials and Methods (or similar section) of the paper how the AI tool was used and which tool was used. Authors are fully responsible for the content of their manuscript, even those parts produced by an AI tool, and are thus liable for any breach of publication ethics.
Northumbria Journals archives content for long term preservation using LOCKSS.