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The article evaluates the computer software VOSviewer that was developed by Nees Jan van Eck and Ludo Waltman, and Bibliometrix developed by Massimo Aria and Corrado Cuccurullo.

An open-source database containing metrology data for X-ray mirrors is presented. It makes available metrology data (mirror heights and slopes profiles) that can be used with simulation tools for calculating the effects of optical surface errors in the performances of an optical instrument, such as a synchrotron beamline. A typical case is the degradation of the intensity profile at the focal position in a beamline due to mirror surface errors. This database for metrology (DABAM) aims to provide to the users of simulation tools the data of real mirrors. The data included in the database are described in this paper, with details of how the mirror parameters are stored. An accompanying software is provided to allow simple access and processing of these data, calculate the most usual statistical parameters, and also include the option of creating input files for most used simulation codes. Some optics simulations are presented and discussed to illustrate the real use of the profiles from the database. [ABSTRACT FROM AUTHOR]

Randomization tests are nonparamelric statistical tests that obtain their validity by computationally mimicking the random assignment procedure that was used in the design phase of a study. Because randomization tests do not rely on a random sampling assumption, they can provide a better alternative than parametric statistical tests for analyzing data from single-case designs. In this article, an R package is described for use in designing single-case phase (AB, ABA, and ABAB) and alternation (completely randomized, alternating treatments, and randomized block) experiments, as well as for conducting statistical analyses on data gathered by means of such designs. The R code is presented in a step-by-step way, which at the same time clarifies the rationale behind single-case randomization tests. [ABSTRACT FROM AUTHOR]

G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and χ² test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free. [ABSTRACT FROM AUTHOR]

Evaluates the statistics software MLwiN 2.0 from the Multilevel Modelling Project of the British Institute of Education.

Reviews the statistical analysis software NCSS--Number Cruncher Statistical System, Version 5.02.

Reviews the statistical software Interactive Population Statistical System, Version 1.0, designed by Jerry W. Wicks and Jose Luiz Pereira de Almeida.

Reviews the computer software Statplan III by the Futures Group.

Reviews the computer software Stata, developed by Computing Resource Center.

Reviews the statistical analysis package GLIM 3.77. by Numerical Algorithms Group Ltd.

Reviews the statistical analysis program Stat-200 from Biosoft.

Reviews the computer software True Epistat, version 3.1, a statistical program developed by Tracy L. Gustafson.