About

Psicológica is a peer-reviewed, electronic-only journal publishing original, high-quality content on Experimental Psychology and related topics, including Cognitive, Social, Developmental and Health Psychology, Behavioral Neuroscience and Biopsychology. Psicológica considers that quality research can also involve replication studies and negative results.

The Journal publishes original research articles (including replication studies), opinion letters, registered reports, and invited reviews.

Editor in Chief

Sara Rodríguez-Cuadrado, University of Granada

Editorial advisor

Daniel Sanabria, University of Granada

Managing editor

Pandelis Perakakis, Complutense University of Madrid

Technical editors

Fernando Ojedo, University of Granada
Inmaculada Fajardo, University of Valencia
Irune Fernandez, International University La Rioja

Associate editors

Albert Maydeu-Olivares, University of Barcelona (Spain)
Alberto Domínguez, University of La Laguna, Cognitive Neuroscience Center (Spain)
Amparo Herrera, University of Murcia (Spain)
Ana Chica, University of Granada (Spain)
Andoni Duñabeitia, Nebrija University (Spain)
Andrew Mackenzie, Nottingham Trent University (UK)
Ángels Colomé, University of Barcelona (Spain)
Barbara Carretti, University of Padova (Italy)
Beatriz Gil Gómez de Liaño, Autonomous University of Madrid (Spain)
Carlo Semenza, University of Padova (Italy)
Carlos Gómez-Ariza, University of Jaén (Spain)
Carlos Romero-Rivas, University of Granada (Spain)
Carmen Ximénez, Autonomous University of Madrid (Spain)
Cosimo Urgesi, University of Udine (Italy)
Daniel Sanabria, University of Granada (Spain)
Daniela Paolieri, University of Granada (Spain)
Daniele Marinazzo, Ghent University (Belgium)
David Saldaña, University of Sevilla (Spain)
Elena Salillas, Basque Center on Cognition, Brain and Language (BCBL) (Spain)
Elisabet Tubau, Universitat de Barcelona (Spain)
Fabiano Botta, University of Granada (Spain)
Filippos Exadaktylos, University of Barcelona (Spain)
Francisco Abad, Autonomous University of Madrid (Spain)
Gabriel Rodríguez, University UPV/EHU (Spain)
Geoffrey Hall, University of York (UK)
Inmaculada Fajardo, University of Valencia (Spain)
Isabel de Brugada, University of Granada (Spain)
Isabel Fraga, University of Santiago de Compostela (Spain)
James McQueen, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen (Netherlands)
James Steele, Solent University (UK)
Javier García-Orza, University of Málaga (Spain)
Javier Revuelta, Autonomous University of Madrid (Spain)
Javier Rodríguez-Ferreiro, University of Barcelona (Spain)
José Ángel Martínez-Huertas, National Distance Education University (Spain)
José Antonio Hinojosa, Complutense University of Madrid (Spain)
Jose Prados, University of Derby (UK)
Juan Lupiáñez, University of Granada (Spain)
Juan Manuel Rosas, University of Jaén (Spain)
Juan Ramón Barrada, University of Zaragoza (Spain)
Judith Kroll, UC Riverside, California (USA)
Julio Santiago, University of Granada (Spain)
Luis Morales, University Loyola (Spain)
Mª Carmen Sanjuán Artegain, University UPV/EHU (Spain)
Manuel Perea, University of Valencia (Spain)
Manuel Suero, Autonomous University of Madrid (Spain)
Marc Guash, University Rovira i Virgili (Spain)
Marc Ouellet, University of Granada (spain)
Marcos Díaz Lago, University of Deusto (Spain)
María Dolores Hidalgo, University of Murcia (Spain)
María Ruz, University of Granada (Spain)
Mariagrazia Capizzi, Universidad de Granada (Spain)
Markus Raab, German Sport University (Germany), London South Bank University (UK)
Miguel Ángel Ruiz, Autonomous University of Madrid (Spain)
Miguel Ángel Sorrel, Autonomous University of Madrid (Spain)
Miguel Vadillo, Autonomous University of Madrid (Spain)
Montserrat Comesaña, University of Minho, Braga (Portugal)
Nickolas Holmes, University of Nottingham (UK)
Paz Suárez-Coalla, Universidad de Oviedo (Spain)
Peter Simor, Eötvös Loránd University (Hungary)
Pilar Ferré, University Rovira i Virgili (Spain)
Rafael Román Caballero, University of Granada (Spain)
Rocío Alcalá, Complutense University of Madrid (Spain)
Ruth de Diego Balaguer, University of Barcelona (Spain)
Salvador Soto Faraco, University Pompeu Fabra (Spain)
Santiago Pelegrina, University of Jaén (Spain)
Tamara Giménez, Universidad Autónoma de Madrid (Spain)
Teresa Bajo, University of Granada (Spain)
Yasmina Okan, Universitat Pompeu Fabra (Spain)

With the support of the international organisation Open Scholar, Psicológica implements an innovative publication model that enables free open access, open and transparent peer review, preprint publication upon submission, publication of data and software code, and a novel reputation system based on direct evaluations from authors and reviewers. The Journal complies with the Fair Open Access principles and adopts the standards established in the Transparency and Openness Promotion (TOP) Guidelines. Below is a brief description of the journal’s publication practices.

After a quick initial screening, all manuscripts submitted to Psicológica are uploaded as preprints to the DIGITAL.CSIC repository. If accepted for publication, they receive a DOI, appear on the Journal’s home page and are registered by indexing services. Non-accepted manuscripts and their reviews remain publicly available in the repository but do not receive a DOI and their authors are free to submit them to a different journal.

All data, program code and other methods must be appropriately cited. Such materials are recognized as original intellectual contributions and afforded recognition through citation. Articles will not be published until the citations conform to these standards.

All data sets and program code used in a publication must be cited in the text and listed in the reference section

References for data sets and program code must include a persistent identifier, such as a Digital Object Identifier (DOI). Persistent identifiers ensure future access to unique published digital objects, such as a text or data set. Persistent identifiers are assigned to data sets by digital archives, such as institutional repositories and partners in the Data Preservation Alliance for the Social Sciences (Data-PASS). 

Data set citation example:

1. 1. Campbell, Angus, and Robert L. Kahn. American National Election Study, 1948. ICPSR07218-v3. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 1999. http://doi.org/10.3886/ICPSR07218.v3

To ensure the quality of the peer review process, the Journal requires reviewers to sign their reviews, which are made public in the institutional repository and linked to the reviewed manuscripts. Reviews receive DOIs and can be cited as any original scientific contribution. In addition, Psicológica employs an innovative metric system for articles and reviews, asking reviewers to rate each manuscript on several parameters (overall scientific quality, relevance to the field, relevance to society, etc.). Authors are also asked to rate reviews according to their usefulness in improving the scientific quality of their work. Although this rating of articles and reviews is optional, we recommend its use, as over time it can provide useful information for measuring scientific quality in ways that go beyond indirect indices based on citation and usage statistics. Reviewers will provide feedback on the manuscript and suggestions in order to improve its quality; however, reviewers are not called to recommend whether or not the manuscript should be published in Psicológica. The decision on acceptance or rejection of a manuscript is the responsibility of the Associate Editor. For more information on the open peer review process implemented by Psicológica please read the instructions for authors and reviewers.

In the case of research articles submitted for consideration to Psicológica, the Journal encourages authors to pre-register their analysis plan in an independent, institutional registry (e.g., http://clinicaltrials.gov/, http://socialscienceregistry.org/, http://openscienceframework.org/, http://egap.org/design-registration/, http://ridie.3ieimpact.org/). The link to the pre-registered version of the manuscript will become available with the final published version of the manuscript. Preregistration of studies involves registering the study design, variables, and treatment conditions prior to conducting the research. Including an analysis plan involves specification of sequence of analyses or the statistical model that will be reported. A link to the preregistration in an institutional registry must be made available to the Journal prior to publication.

Psicológica accepts and encourages the submission of Registered Reports for original or replication studies. In Registered Reports, the first stage of review is conducted prior to the data being collected or, for existing datasets, before the outcomes are observed. Specifically:  

1. On initial submission, authors should:
   1. denote in the submission form that the manuscript is submitted as a Registered Report and confirm that the data do not exist, or that the outcomes have not been observed.
   2. include a full manuscript for the abstract, introduction, and methods without the results and discussion sections.  
   3. disclose that the methods contain a complete analysis plan of what is to be included in the full article.
2. If the submission passes initial review, then the authors will receive an in-principle acceptance prior to data collection or analysis of the outcomes.
3. For the second stage of review, authors submit a complete manuscript.  Reviewers assess the extent to which the authors followed the preregistered design and/or analysis plan, and evaluate non-outcome relevant criteria (e.g., manipulation checks) to confirm whether the research was an effective test of the research question.

It is highly recommended that anonymised raw data, methods used in the analysis, and materials used to conduct the research are clearly and precisely documented and are maximally available to any researcher for purposes of reproducing the results or replicating the procedure. All materials supporting the claims made by the author must be made available to the Journal prior to publication.

Authors reusing data available from public repositories must provide program code, scripts for statistical packages, and other documentation sufficient to allow an informed researcher to precisely reproduce all published results.

Authors using original data must:

1. 1. make the data available at a trusted digital repository (Note: If all data required to reproduce the reported analyses appears in the article text, tables, and figures then it does not also need to be posted to a repository.)
   2. include all variables, treatment conditions, and observations described in the manuscript.
   3. provide a full account of the procedures used to collect, preprocess, clean, or generate the data.
   4. provide program code, scripts, codebooks, and other documentation sufficient to precisely reproduce all published results.
   5. provide research materials and description of procedures necessary to conduct an independent replication of the research.

In rare cases, despite authors’ best efforts, some or all data or materials cannot be shared for legal or ethical reasons. In such cases, authors must inform the editors at the time of submission. This will be taken into account during the review process. Authors are encouraged to anticipate data and material sharing at the beginning of their projects to provide for these circumstances. It is understood that in some cases access will be provided under restrictions to protect confidential or proprietary information. Editors may grant exceptions to data and material access requirements provided authors:

1. 1. explain the restrictions on the dataset or materials and how they preclude public access.
   2. provide a public description of the steps others should follow to request access to the data or materials.
   3. provide software and other documentation that will precisely reproduce all published results.
   4. provide access to all data and materials for which the constraints do not apply.

Data, program code, research materials, and other documentation of the research process should be made available through a trusted digital repository. Trusted repositories adhere to policies that make data discoverable, accessible, usable, and preserved for the long term. Trusted repositories also assign unique and persistent identifiers. For a comprehensive list of available data repositories, see http://www.re3data.org/. Alternatively, depending on the size of the supplementary material, Psicológica may support its publication on DIGITAL.CSIC, next to the original manuscript.

The publication of articles and supplementary material in public infrastructure minimises publication expenses and enables open access at no cost to authors or readers (Diamond Open Access). All manuscripts and other resources are published under a creative commons license. Authors can choose from four different licences (CC BY, CC BY-SA, CC BY-NC, CC BY-NC-SA), all of which allow them to retain the copyright and full publishing rights without restrictions. Psicológica is member of the Free Journal Network and adheres to the fair open access principles as set out at the Budapest Open Access Initiative and https://fairopenaccess.org/.

Psicológica is covered by the following indexing services and search engines:

• Baidu Scholar
• Cabell’s Whitelist
• CNKI Scholar (China National Knowledge Infrastructure)
• CNPIEC – cnpLINKer
• Dimensions
• DOAJ (Directory of Open Access Journals)
• EBSCO Discovery Service
• Google Scholar
• J-Gate
• JournalTOCs
• KESLI-NDSL (Korean National Discovery for Science Leaders)
• MyScienceWork
• Naver Academic
• Naviga (Softweco)
• Primo Central (ExLibris)
• PSICODOC
• PsycINFO
• QOAM (Quality Open Access Market)
• ReadCube
• Redalyc
• SCImago (SJR)
• SCOPUS
• Semantic Scholar
• Summon (ProQuest)
• TDNet
• Ulrich’s Periodicals Directory/ulrichsweb
• WanFang Data
• Web of Science – Social Sciences Citation Index
• WorldCat (OCLC)

Journal Details
eISSN: 1576-8597
First electronic publication: 1998
Language: English

Journal Metrics
Please note that journal-based metrics should not be used to assess individual scientist contributions, including for hiring, promotion, or funding decisions. Psicológica strongly recommends that these metrics are used solely for assessing this particular journal.

SCImago Journal Rank: 0.297
5-year Impact Factor: 0.762
Cite Score: 1.2
Impact Factor: 0.7
Source Normalised Impact per Paper: 0.550