Peer Review of Reviewers: The Author’s Perspective

Authors : Ivana Drvenica, Giangiacomo Bravo, Lucija Vejmelka, Aleksandar Dekanski, Olgica Nedić

The aim of this study was to investigate the opinion of authors on the overall quality and effectiveness of reviewers’ contributions to reviewed papers. We employed an on-line survey of thirteen journals which publish articles in the field of life, social or technological sciences.

Responses received from 193 authors were analysed using a mixed-effects model in order to determine factors deemed the most important in the authors’ evaluation of the reviewers. Qualitative content analysis of the responses to open questions was performed as well.

The mixed-effects model revealed that the authors’ assessment of the competence of referees strongly depended on the final editorial decision and that the speed of the review process was influential as well.

In Ordinary Least Squares (OLS) analysis on seven questions detailing authors’ opinions, perception of review speed remained a significant predictor of the assessment. In addition, both the perceived competence and helpfulness of the reviewers significantly and positively affected the authors’ evaluation.

New models were used to re-check the value of these two factors and it was confirmed that the assessment of the competence of reviewers strongly depended on the final editorial decision.

URL : Peer Review of Reviewers: The Author’s Perspective

Alternative location : https://www.mdpi.com/2304-6775/7/1/1

Day of the week effect in paper submission/acceptance/rejection to/in/by peer review journals. II. An ARCH econometric-like modeling

Authors : Marcel Ausloos, Olgica Nedic, Aleksandar Dekanski, Maciej J. Mrowinski, Piotr Fronczak, Agata Fronczak

This paper aims at providing a statistical model for the preferred behavior of authors submitting a paper to a scientific journal. The electronic submission of (about 600) papers to the Journal of the Serbian Chemical Society has been recorded for every day from Jan. 01, 2013 till Dec. 31, 2014, together with the acceptance or rejection paper fate.

Seasonal effects and editor roles (through desk rejection and subfield editors) are examined. An ARCH-like econometric model is derived stressing the main determinants of the favorite day-of-week process.

URL : https://arxiv.org/abs/1611.04639