Scientific LogAnalyzer: a web-based tool for analyses of server log files in psychological research.

Ulf-Dietrich Reips, Stefan Stieger
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引用次数: 37

Abstract

Scientific LogAnalyzer is a platform-independent interactive Web service for the analysis of log files. Scientific LogAnalyzer offers several features not available in other log file analysis tools--for example, organizational criteria and computational algorithms suited to aid behavioral and social scientists. Scientific LogAnalyzer is highly flexible on the input side (unlimited types of log file formats), while strictly keeping a scientific output format. Features include (1) free definition of log file format, (2) searching and marking dependent on any combination of strings (necessary for identifying conditions in experiment data), (3) computation of response times, (4) detection of multiple sessions, (5) speedy analysis of large log files, (6) output in HTML and/or tab-delimited form, suitable for import into statistics software, and (7) a module for analyzing and visualizing drop-out. Several methodological features specifically needed in the analysis of data collected in Internet-based experiments have been implemented in the Web-based tool and are described in this article. A regression analysis with data from 44 log file analyses shows that the size of the log file and the domain name lookup are the two main factors determining the duration of an analysis. It is less than a minute for a standard experimental study with a 2 x 2 design, a dozen Web pages, and 48 participants (ca. 800 lines, including data from drop-outs). The current version of Scientific LogAnalyzer is freely available for small log files. Its Web address is http://genpsylab-logcrunsh.unizh.ch/.

科学日志分析器:一个基于网络的工具,用于分析心理学研究中的服务器日志文件。
Scientific LogAnalyzer是一个独立于平台的交互式Web服务,用于分析日志文件。Scientific LogAnalyzer提供了其他日志文件分析工具所不具备的几个特性,例如,适合帮助行为和社会科学家的组织标准和计算算法。Scientific LogAnalyzer在输入端是高度灵活的(无限类型的日志文件格式),同时严格保持科学的输出格式。功能包括(1)日志文件格式的自由定义,(2)搜索和标记依赖于字符串的任何组合(必要的条件识别实验数据),(3)响应时间的计算,(4)检测多个会话,(5)快速分析大型日志文件,(6)输出HTML和/或制表符分隔的形式,适合导入到统计软件,(7)分析和可视化辍学模块。在分析基于互联网的实验中收集的数据时特别需要的几个方法特征已经在基于web的工具中实现,并在本文中进行了描述。对来自44个日志文件分析的数据进行的回归分析表明,日志文件的大小和域名查找是决定分析持续时间的两个主要因素。对于一项标准的2 × 2设计、12个网页、48名参与者(约800行,包括退出者的数据)的实验研究来说,这不到一分钟。对于小型日志文件,Scientific LogAnalyzer的当前版本是免费的。其网址是http://genpsylab-logcrunsh.unizh.ch/。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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