Results 171 to 180 of about 10,336,836 (232)
Some of the next articles are maybe not open access.
Effect size, confidence interval and statistical significance: a practical guide for biologists
Biological Reviews, 2007Shinichi Nakagawa, Innes C Cuthill
exaly +2 more sources
“Statistical Significance” and Statistical Reporting: Moving Beyond Binary
Journal of Marketing, 2023Null hypothesis significance testing (NHST) is the default approach to statistical analysis and reporting in marketing and the biomedical and social sciences more broadly.
B. McShane +3 more
semanticscholar +1 more source
Detecting publication selection bias through excess statistical significance
Research Synthesis Methods, 2021We introduce and evaluate three tests for publication selection bias based on excess statistical significance (ESS). The proposed tests incorporate heterogeneity explicitly in the formulas for expected and ESS.
T. Stanley +3 more
semanticscholar +1 more source
Research Methods in the Social Sciences: An A-Z of key concepts, 2021
This chapter highlights statistical significance. The key question in quantitative analysis is whether a pattern observed in a sample also holds for the population from which the sample was drawn.
J. Morin, C. Olsson, Ece Ozlem Atikcan
semanticscholar +2 more sources
This chapter highlights statistical significance. The key question in quantitative analysis is whether a pattern observed in a sample also holds for the population from which the sample was drawn.
J. Morin, C. Olsson, Ece Ozlem Atikcan
semanticscholar +2 more sources
Achieving Statistical Significance with Control Variables and Without Transparency
Political Analysis, 2020How often do articles depend on suppression effects for their findings? How often do they disclose this fact? By suppression effects, we mean control-variable-induced increases in estimated effect sizes.
Gabriel S. Lenz, A. Sahn
semanticscholar +1 more source
The significance of statistical significance
Intensive and Critical Care Nursing, 1997Currently, much nursing practice is based on limited evidence, for example, small-scale research, case studies and clinical experience. In a mature science this would be undesirable, but nursing is in the early stages of development as a science, and many of its practices depend on relatively informal knowledge.
openaire +3 more sources
Is Statistical Significance Always Significant?
Nutrition in Clinical Practice, 2005One way in which we learn new information is to read the medical literature. Whether or not we do primary research, it is important to be able to read literature in a critical fashion. A seemingly simple concept in reading is to interpret p values. For most of us, if we find a p value that is <.05, we take the conclusion to heart and quote it at ...
openaire +2 more sources
But Is It Statistically Significant?
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017We analyze 5,792 IR conference papers published over 20 years to investigate how researchers have used and are using statistical significance testing in their ...
openaire +1 more source
The Significance of Statistical Significance:
Law & Social Inquiry, 2009This essay reviews The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives, by Stephen T. Ziliak and Deirdre N. McCloskey. The book's core message is that statistical significance should not be equated with substantive significance and that empirical researchers should convey more information about
openaire +1 more source
Statistical Significance in Trauma Research: Too Unstable To Trust?
Journal of Orthopaedics and Trauma, 2019OBJECTIVES To evaluate the stability of statistical findings in the fracture care literature based on minor changes in event rates and to determine the utility of applying both the Fragility Index and Fragility Quotient to comparative orthopaedic trauma ...
Robert L. Parisien +4 more
semanticscholar +1 more source