Results
(203 Answers)

Answer Explanations

  • Very prevalent
    user-74194
    I believe that selection of data and statistical methods to reach a pre-determined conclusion is an ongoing issue in scientific publishing
  • Not very prevalent
    user-165077
    In general, good work gets published
  • Somewhat prevalent
    user-683654
    People struggle to publish just to be promoted.
  • Very prevalent
    user-15550
    Only "positive" results data is published. Because of that, not all aspects of a subject are considered when we publish
  • Not very prevalent
    user-82487
    With biased publications science will never grow. Since scientific research is growing rapidly, these small temporary hurdles must be ignored
  • Somewhat prevalent
    user-56501
    Completing lab interests with alternative finidings..."keep the other guy's opinion out of lime light"  
  • Very prevalent
    user-415326
    Heavy bias towards publishing trials that are positive and in areas of novelty and specific interest. This leads to unpublished null/negative or equivocal outcomes and a lack of external validation.
  • Somewhat prevalent
    user-734516
    Some studies, mostly including those with no significant results, are not published. Firstly, due to the lack of interest by the authors and, somehow, by the Journals.
  • Somewhat prevalent
    user-625143
    as always cool findings are more attractive than negative findings. In veterinary medicine case numbers are small so that it is easy to not reach significance. 
  • Somewhat prevalent
    user-523578
    Editorial boards promote friends as colleagues and ideas that they agree with. 
  • Somewhat prevalent
    user-649046
    The publication bias in favour of positive results is more likley and therefore more prevalent due to inherent nature of how scientific journals functions that largely look for and highlight some “find” rather than none or negative results from research study.
  • Somewhat prevalent
    user-340576
    There is a strong pressure to support all results with molecular tools, which is somewhat unnecessary and expensive for some countries. 
  • Somewhat prevalent
    user-583633
    The essence of good science is a well thought through hypothesis, rigorous experimental design protocol and an ability to interprétâtes data unbiasedly.
    This should lead to a possible successful outcome and published work. This is a fundamental premise of modern science, hence the « bias » towards publishing successful experiments and proving a hypothesis. Often times a poorly thought through hypothesis, lack of understanding of the particular of focus and poor experimenta design and execution leads to a failed corroboration of a hypothesis. Such « papers » should not be published. There are more efficient ways to teach young scientists ( or older ones) about science and how to practice it. 
    There are cases where a good working hypothesis, rigorous experimental design and execution are carried out, but for a variety of reasons does not work. Such approaches should be published but with the caveat that paper provides new insights into why the experiments/hypothesis failed. 
  • Very prevalent
    user-561710
    it's prevalent. nothing else to add.
  • Somewhat prevalent
    user-393430
    People often highlight their own positive findings and tend to omit (or decrease the importance)  conflicting data obtained by others with different approaches. Also personal negative data are rarely mentioned
  • Very prevalent
    user-169864
    Negative results are almost impossible to be published. In practice, a negative result requires a huge sample size (the entire population or so)
  • Somewhat prevalent
    user-606148
    A great deal of empirical evidence involves assessment of learning gains from learning environments that include information and communication technology (ICT).  These studies are almost always quasi-experimental, and thus lack randomization of the treatment and control groups.  Many studies use weak designs.  This makes it difficult to be sure that a weak learning gain is actually due to ineffective design or use of the technology application.  Furthermore, researchers often have a vested interest in the ICT application they are studying, so they tend to rationalize weak result as due to flaws in the study other than the ICT application.   Consequently, studies with weak or negative outcomes are rarely submitted or accepted for refereed publication.  If they see the light of day at all, it may be only in a conference proceeding, or just a research archive. 
    In fairness, even large-scale well funded RCT studies in many aspects of education have led to inconclusive results -- to the point where some leading researchers (e.g, Berliner) have argued that classic experimental designs are not up to the task of analyzing what's going on in a learning environment.  In education, Berliner argues, the interaction effects tend to be larger than the main effects.  Classical experimental designs have a difficult time in this situation.  Furthermore, some researchers, as a result, have argued that the research strategy should trade away some internal validity in order to get more external validity, so they advocate for various multivariate analyses, and qualitative study designs.  My opinion is that these designs do often yield a better understanding of the learning environment, but often make it difficult to risk a claim of a negative result. 
  • Very prevalent
    user-773118
     I believe publication bias is very prevalent and actually represnted by the mainstream of academia. That is why eventually the majority of published researches are found unreliable although positive results and good statistics are shown.
  • Very prevalent
    user-778496
    Having submitted (and published) many journal manuscripts, I have witnessed the poor quality of reviews and monumentally poor decisions, suggesting the presence of extreme bias.
  • Somewhat prevalent
    user-951310
    Recently, I have witnessed a main author admit to looking for a lower number to update a toxicity factor, so the lower value was achieved by ignoring toxicological principles of dose-response and what constitute critical effects.
  • Very prevalent
    user-388091
    There are major players, I call "ladder climbers" in major zip codes that  push their models - this type of self-promotion works, so their models move ahead motivated by moving ahead. Meanwhile pure scientists, I call "artists", push on, and eventually correct the bias when their data becomes overwhelming and the truth pushes through. Then, the ladder climbers attempt to take credit for the new model, and so on. It all works out in the end, because unlike popular opinion, truth is objective. 
  • Somewhat prevalent
    user-686978
    I consider that in the biological area, negative results are not interesting in being published in journals.
  • Not very prevalent
    user-50238
    Through publications research community share ideas, innovations and problems faced.
  • Very prevalent
    user-414245
    There is bias based on which university the paper is coming from.  Smaller, state universities, are discriminated against, as are authors.  Authors with foreign names, particularly from the eastern countries, are discriminated against.  Prejudice is prevalent because of the anonymous nature of the peer review system.  This bias is, in my opinion, far more important than the possible rejection of null result studies.    
  • Not very prevalent
    user-861631
    Although publication bias is a concern in many research areas, it is not very prevalent in the field of road studies. This is because projects and research related to roads typically involve quantitative and observable data, such as traffic patterns, pavement conditions, and environmental impacts, which are collected and analyzed rigorously. Additionally, much of the research is conducted by government agencies and independent organizations that follow strict guidelines for transparency and disclosure. As a result, studies tend to be published based on their relevance and methodological quality, regardless of the results found.
  • Somewhat prevalent
    user-520983
    My field is toxicology. It is very hard for a scientist to 
  • Very prevalent
    user-65167
    basically, negative results are not published
  • Somewhat prevalent
    user-447943
    I have experienced and witnessed others experience acts of discrimination due to the place where we carry out our work. Moreover, it is becoming increasingly difficult for us to publish due to the high costs that we cannot afford with the research grants we receive.
  • Not very prevalent
    user-619625
    The most important thing is seeking the truth and having a better understanding of knowledge, not the quantity of publications or publishing only positive results
  • Somewhat prevalent
    user-8496
    An additional concern is reviewer bias of submitted manuscripts. Reviewers with a specific political or regulatory bias have influenced the acceptance or rejection of a manuscript 
  • Very prevalent
    user-665841
    Always thought we needed a journal of things that didn’t work.  
  • Somewhat prevalent
    user-149459
     Publication bias is a significant concern in many scientific fields, including pediatrics.  Researchers might selectively report outcomes that show significant results, leaving out those that are non-significant. This selective reporting can lead to an incomplete and biased understanding of the research topic. 
  • Very prevalent
    user-650602
    the need to publish sometimes overwhelms the actual science. 
     And not just any publication, high impact or it doesn't matter. 
  • Somewhat prevalent
    user-673264
    Reviewers may tend to adjust their acceptance criteria depending on the reputation of the authors, or the country of origin.
  • Not at all prevalent
    user-109201
    Publication gives you additional weightage in your career advancement.
  • Not very prevalent
    user-433580
    Being done as per guide lines 
  • Very prevalent
    user-781389
    molecular paleontology is biased by the preconception that molecules have a time limit--first 1000 years, then 100,000, then 1million years, now 3 million years.  if you propose, based on data, that some informative molecules may persist over geological time, bias favors conventional wisdom over hard data.
  • Very prevalent
    user-307024
    Almost 60-70% trust contents of published studies. 
  • Very prevalent
    user-964888
    Indian authors rejected.
  • Very prevalent
    user-570468
    Journals aren't very keen to accept negative results or replication studies in different geographical areas.
  • Very prevalent
    user-456425
    IT is based on both Editor perception and Author tendency to not focus on research with tentative negative results.
  • Somewhat prevalent
    user-149708
    General lack of interest in null or negative results. By training and cultural bias, we're leaning toward the valorization of the positive results.
  • Very prevalent
    user-633316
    Especially as Turkish scientist, I met with this situation in many times. In most cases, it has been raised to almost a racism and my manuscripts receted directly by editors. Mostly reason was out of interest. But before and after my submissiom, many publications published in similar areas by same country scientists of editors. 
  • Very prevalent
    user-231488
    Publication bias occurred not because of publication itself but also the study itself.
  • Very prevalent
    user-293647
    I just had a paper rejected as one reviewer said the data were not showing anything so why is this interesting or worthy of publication.  From a product stewardship position, having negative findings is very important in the use of a product when determining risk.  I feel it is alarming that negative studies are not considered appropriate for publication.
  • Somewhat prevalent
    user-559006
    Publication of negative results not valued.
  • Very prevalent
    user-640071
    In the field of biological sciences biases in the publication are prevalent at various levels starting from the submission of an article (so many paid journals claim that payment doesn't impact acceptance of the article but it does, and many journals will not allow you to submit without assurance of payments), reviewing (it is mostly biased towards authors from different countries and regions), acceptance (big names in the area of the research are often given priority over new authors irrespective of the quality of publication), and there is a preferential tendency to accept those publications which are proving of some concept given by peers in the area of research.
  • Somewhat prevalent
    user-765807
    To mitigate publication bias, efforts like preregistration, open science practices, and transparent reporting are crucial. Researchers and journals play a vital role in addressing this issue.
  • Somewhat prevalent
    user-902950
    Although there are quite a few studies on the lack of effect X has on molecule/system/process Y, the majority still centers on positive effects (i.e. some effect was observed in comparison to...)
  • Very prevalent
    user-731929
    It is very rare to find publications with negative results
  • Very prevalent
    user-232888
    In studies on the efficacy of new drugs for a particular condition, enrolling patients of a specific age group or with very mild symptoms will often lead to a non-generalized result for broader populations, therefore, the real effectiveness of the drug might be overestimated.
  • Somewhat prevalent
    user-110809
    There's a general view that only positive results are publishable - unless the topic is controversial.
  • Somewhat prevalent
    user-280167
    .
  • Very prevalent
    user-208008
    Negative studies are rarely presented and often publications just need some data to share, even if it isn't practical or relevant.
  • Very prevalent
    user-887682
    Journals are always looking some improvement in methodology or for enhanced properties. All journals in our field reject the manuscript if the properties enhancement will be negligible! 
  • Very prevalent
    user-787588
    In my field, cancer research, reports most frequently show positive results and only minor negative ones when the latter support the positive, more important results.


  • Somewhat prevalent
    user-610359
    Lack of awareness and attitude to handle negative results. 
  • Not very prevalent
    user-971114
    I do not believe publication is bias, since the decision is ususally taking by the journal editorial board after thorough evaluation
  • Very prevalent
    user-887652
    So prevalent that research questions are routinely structured in order to generate positive results.
  • Very prevalent
    user-350867
    really problematic in tox.  only studies where a chemical is toxic get published.  So how do we choose safer chemicals if we do not see the data?
  • Very prevalent
    user-111275
    The majority of publications is not blinded and small number of cases 
  • Somewhat prevalent
    user-525512
    publication bias is quite a common problem in the aspects of computer science and engineering. It means statistically significant or results matching preliminary expectations are more probably published while studies returning null or results that are non-significant often go unnoticed or unpublished. This can result in literature that is overrepresented with positive or significant findings, thus giving a misrepresented view of the real body of knowledge. Publication bias results from a mixture of factors, mainly the preference for novel and exciting results, pressure to publish positive findings, and limited space in journals. Publication bias distorts the complete view that research is supposed to provide with unbiased outcomes and may help in the avoidance of possible research waste.
  • Very prevalent
    user-575039
    Publication bias is very prevalent in my work setup. In my professional experience most of us did not give value for research findings with no positive result and with specific association.
  • Somewhat prevalent
    user-725842
    I believe publication bias is somewhat prevalent in the biotech and pharmaceutical industry. The pressure to produce positive results can lead to selective reporting, where studies with favourable outcomes are more likely to be published. This skews the scientific literature, overrepresenting successful studies and underreporting null or negative findings. As a result, systematic reviews and meta-analyses may be compromised, potentially leading to inflated efficacy estimates and misleading conclusions. Addressing this bias is crucial for maintaining the integrity and validity of scientific research, ensuring that the full spectrum of findings is represented and considered.
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