In order to be considered scientifically rigorous, this evidence must be accurate, reliable, reproducible, and measurable, among many other factors. One method in which researchers are able to provide empirical support for their research is through the employment of statistics. Statistics refers to ...
Choice of Statistical Tools for Outlier Removal Causes Substantial Changes in Analyte Reference Intervals in Healthy Populations 来自 掌桥科研 喜欢 0 阅读量: 4 作者:PE Hickman,G Koerbin,JM Potter,N Glasgow,JA Cavanaugh,WP Abhayaratna,NP West,P Glasziou ...
The author focused on the following the issues: the standard view of the research process, the concept of statistical analysis of data in the research process, the necessity of replicating research findings, the NHST vs. confidence interval opposition, the importance of dete...
as well as positive outcomes in the research. In order tocalculate variance, a researcher must use the standard deviation. A standard deviation measures the degree that an individual value varies from the mean or average. Once the standard deviation is known, analysis...
and statistics is a particularly helpful mathematical tool that is used by researchers to evaluate hypotheses and make decisions to accept or reject such hypotheses. In this paper, the various statistical tools in psychological research are reviewed. The limitations of null hypothesis significance testing...
2.3 Words of caution about data collection in the current era of big data Big data may mean that researchers have little control over data collection since they are combining datasets, which have been compiled by others. It is nevertheless important for all involved in research to understand the...
Hypothesis testing provides the tools to evaluate statistical significance. These two tools are p-values and thesignificance level. P-values: The probability of obtaining the observed sample effect or larger if there is no effect in the population. ...
References28,29 used functional data analysis tools. Specifically, Ref.28 captured two different epidemic patterns in different regions of Italy using the probKMA algorithm Refs.30, and29 revealed different patterns of the epidemic across countries with functional principle component analysis. In ...
In my own applied work, the sorts of adjustments that would be needed to adjust for model selection would be pretty minor, so it’s not where I focus my theoretical or methodological research efforts. For bad analyses, it’s another story. For example, if Daryl Bem of those notorious ESP...
Fortunately, more recently the idea of uncertain network data has been restored and started to return to the mainstream with a few researchers bringing forth a research agenda devoted to the incorporation, both theoretically and in practice, of the existence and the effects of errors in network me...