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In inferential statistics, a confidence interval (CI) is a type of interval estimate, computed from the statistics of the observed data, that might contain the true value of an unknown population parameter. The interval has an associated confidence level that, loosely speaking, quantifies the level of confidence that the parameter lies in the interval. More strictly speaking, the confidence level represents the frequency (i.e. the proportion) of possible confidence intervals that contain the true value of the unknown population parameter. In other words, if confidence intervals are constructed using a given confidence level from an infinite number of independent sample statistics, the proportion of those intervals that contain the true value of the parameter will be equal to the confidence (...)

An interesting and innovative proposal is to use blockchain technologies (usually associated with digital crypto currencies like, for instance, Bitcoin or Ethereum) to counteract the replication crisis, to validate empirical findings, and to improve and optimize the scientific procedure on a large scale (Bartling & Fecher, 2016). The authors suggest that “Blockchain could strengthen science's verification process, helping to make more research results reproducible, true, and useful” (Bartling & Fecher, 2016, p. 1). Even though this proposal might seem unrealistic or overstated to those unfamiliar with blockchain technologies, we think that this is indeed an excellent innovative and creative proposal because blockchain technologies can be used in all situations which require (...)

In order to make software easily citable, a "citation file format" *.CITATION.cff should be included in the root of the repository.
cff-version: 1.0.3
message: If you use this software, please cite it as below.
- family-names: Germann
given-names: Christopher, Benjamin
title: Psychology Meta Search Tool
version: 1.0.2
date-released: 2012-07-16

In R the citation of a given package can be extracted as follows (using BibTeX for LaTex).


#To cite ggplot2 in publications, please use:
#H. Wickham. ggplot2: elegant graphics for data analysis. Springer New York, 2009.
#A BibTeX entry for LaTeX users is

author (...)

* Base CSS for pdf2htmlEX
* Copyright 2012,2013 Lu Wang
*/#sidebar{position:absolute;top:0;left:0;bottom:0;width:250px;padding:0;margin:0;overflow:auto}#page-container{position:absolute;top:0;left:0;margin:0;padding:0;border:0}@media screen{#sidebar.opened+#page-container{left:250px}#page-container{bottom:0;right:0;overflow:auto}.loading-indicator{display:none}{display:block;position:absolute;width:64px;height:64px;top:50%;left:50%;margin-top:-32px;margin-left:-32px}.loading-indicator img{position:absolute;top:0;left:0;bottom:0;right:0}}@media print{@page{margin:0}html{margin:0}body{margin:0;-webkit-print-color-adjust:exact}#sidebar{display:none}#page-container{width:auto;height:auto;overflow:visible;background-color:transparent}.d{display:none}}.pf{position:relative;background-color:white;overflow:hidden;margin:0;border:0}.pc{position:absolute;border:0;padding:0;margin:0;top:0;left:0;width:100%;height:100%;overflow:hidden;display:block;transform-origin:0 (...)

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