Computer-Assisted Research Design and Analysis
Computer-Assisted Research Design and Analysis
复制标题
DOI：
--
复制
发表时间：
2000-06
期刊：
影响因子：
--
通讯作者：
B. Tabachnick;L. Fidell
中科院分区：
文献类型：
--
作者：
B. Tabachnick;L. Fidell
来自出版商：特点技术优势：包括语法和输出从MINITAB，SAS，SPSS，和MANUFACAT允许学生专注于研究问题，而不是在软件程序的细节，并提供了文本和软件包的最彻底的集成。配套网站包含文本附带的数据集。每个模型的一个例子，使用真实的数据，并通过阿帕格式的结果部分进行假设评估，为学生提供进行和报告分析的分步指导。独特的第10章筛选设计包括软件的覆盖面，以产生设计，熟悉分数因子，田口设计，Plackett-Burman设计和响应面设计，在研究的早期阶段和/或研究罕见的主题是非常有用的学生。协方差分析（第8章）、拉丁方分析（第9章）、随机效应和嵌套模型分析（第11章）中的许多复杂性的计算和输出，为学生提供了研究过程中出现的许多问题的解决方案。第4-11章使用相同的例子介绍了基本模型的传统和多元回归方法，为学生提供了ANOVA的替代方法，在理解和分析数据集时提供了更大的灵活性。
From the Publisher: Features TECHNOLOGY ADVANTAGE: Inclusion of syntax and output from MINITAB, SAS, SPSS, and SYSTAT allows students to concentrate on the research question rather than on the specifics of the software program and provides the most thorough integration of text and software packages. The Companion Website contains datasets that accompany the text. An example for each model, using real data and proceeding from assessment of assumptions through a Results section in APA format, provides students with step-by-step guidance for conducting and reporting an analysis. Unique Chapter 10 on screening designs includes coverage of software to generate designs, familiarizing students with fractional factorials, Taguchi designs, Plackett-Burman designs, and response surface designs that are extremely useful in the early stages of research and/or in research with rare subjects. Syntax and output for many of the complexities of analysis of covariance (Ch. 8), Latin square (Ch. 9), and random effects and nested models (Ch. 11) provide students with solutions for numerous problems that arise during research. Presentation of both the traditional and multiple regression approaches to the basic model in Chapters 4-11 using the same example provides students with an alternative approach to ANOVA that offers much greater flexibility in understanding and analyzing a data set.