Conclusion: Qualitative research is as likely to remain unpublished as quantitative research. Moreover, non-publication appears to be related to the quality of reporting of methodological information in the original abstract, perhaps because this is a proxy for a study with clear objectives and clear...
Inquantitative research, the researcher tries to eliminate bias completely whereas, inqualitative research, it is all about understanding that it will happen. Design Bias Design bias is introduced when the researcher fails to take into account the inherent biases liable in most types ofexperiment. ...
Conclusion: Qualitative research is as likely to remain unpublished as quantitative research. Moreover, non-publication appears to be related to the quality of reporting of methodological information in the original , perhaps because this is a proxy for a study with clear objectives and clear ...
Research on bias in peer review examines scholarly communication and funding processes to assess the epistemic and social legitimacy of the mechanisms by which knowledge communities vet and self-regulate their work. Despite vocal concerns, a closer look at the empirical and methodological limitations of...
The study examines the heterogeneous livelihood impacts of oil palm expansion among smallholder farmers in Jambi Province, Sumatra. Per-capita annual consumption expenditure (PACE) is chosen as a quantitative measure of livelihood status... Krishna, Vijesh V.,M Euler,H Siregar,... - 《Efforts Di...
For this research, bias was defined as an item x group interaction. Grade 12 students in integrated high schools who had taken two forms of the PSAT were divided into two races and three socioeconomic levels within the races. Four analyses of variance were performed: one for the Verbal secti...
Another important contribution of this manuscript is the construction of the first process-wide model that provides a quantitative understanding of how oligo copy distribution is skewed as it goes through a DNA storage system. Importantly, such system model helps researchers rationally optimize the use...
We survey 146 papers analyzing “bias” in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing “bias” is an inherently normative process. We further find that these papers’ proposed quantitative...
Meta-analyses of experimental data in the animal sciences In certain areas of animal research, such as nutrition, quantitative summarizations of literature data are periodically needed. In such instances, statisti... NR St-Pierre - 《Revista Brasileira De Zootecnia》 被引量: 25发表: 2007年 Inte...
Here, we present Bias and Resolvability Attribution using Split Samples (BRASS), a framework for quantitative evaluation and comparison of methods. In this framework, multiple single-cell and single-transcript methods are performed in parallel on cells harvested from the same original culture. Harvested...