Book Reviews: Designing Experiments and Analyzing Data Scott E. Maxwell and Harold D. Delaney Belmont, CA: Wadsworth, 1990. xvi + 902 pp
Book Reviews: Designing Experiments and Analyzing Data Scott E. Maxwell and Harold D. Delaney Belmont, CA: Wadsworth, 1990. xvi + 902 pp
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书评：设计实验和分析数据 Scott E. Maxwell 和 Harold D. Delaney Belmont，CA：Wadsworth，1990。xvi 902 页
DOI：
10.3102/10769986017003274
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发表时间：
1992
期刊：
影响因子：
--
通讯作者：
J. Willets
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文献类型：
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作者：
J. Willets
虽然有许多实验设计书籍可用，但本文中统计实验设计的总体方法、内容和表述在许多方面比典型例子更完整和更广泛的基础。特别令人感兴趣的是前两章中从哲学、实验和科学意义上处理统计学的方法，而不是其他作者经常暗示的严格的数学方法。在科学实验的背景下，关于费舍尔传统的一章特别令人耳目一新，当然也很有趣。作者试图创造一本关于实验设计的课文，既可以作为教科书，也可以作为参考书。在一门典型的为期18周的实验设计课程中，很难对内容做出公正的评价。因此，我更倾向于使用这本书作为参考，可能是精选的部分，作为对开始自己研究性学习的研究生的介绍。将会注意到，演示的形式不同于更注重计算的文本。作者采用了一种模型比较的方法，这种方法打开了引入各种研究模型作为更简单模型的简化或改编的机会。这种方法是大多数研究设计文本所独有的，所提供的信息更多的是概念性的，而不是计算性的。作者正确地假设，数学将由计算机完成，研究人员需要熟悉设计的概念，而不是计算技术。介绍的核心在第三章和第四章。基本的统计公式在第二部分的前几章中介绍。这些公式用作后续各章的基础。事实上，即使在课堂环境中，也不需要按顺序使用这本书。但是，在偏离概述的顺序之前，有必要充分考虑第3章和第4章中提供的信息。这表明了这本书作为参考文本的实用性，因为大多数研究人员如果有足够的背景知识，可以翻到任何一章，或者他们可以阅读第三章和第四章，然后转到他们选择的特定研究模式。
Whereas there are many experimental design books available, the overall approach, content, and presentation of statistical experimental design in this text are in many ways more complete and broader based than the typical example. Of particular interest is the approach in the first two chapters dealing with statistics in the philosophical, experimental, and scientific sense rather than the strictly mathematical approach so often implied by other authors. The chapter on the Fisher tradition was especially refreshing and certainly interesting in the context of scientific experimentation. The authors have attempted to create a text on experimental design that can be used either as a textbook or as a reference book. It would be difficult to do justice to the content in a typical 18-week course on experimental design. Therefore, I would be more inclined to use the book for a reference and, possibly selected portions, for an introduction to graduate students embarking on their own research study. It will be noticed that the form of the presentation is different from the more computationally oriented texts. The authors have employed a modelcomparison approach that opens up the opportunity to introduce various research models as extenuations or adaptations of simpler models. The method is unique to most texts on research design, and the information presented is more conceptual than computational. The authors rightly assume that the mathematics will be performed by the computer and that the researcher needs to be familiar with the concept of the design rather than the computational techniques. The heart of the presentation comes in chapters 3 and 4. The underlying statistical formulas are introduced in these beginning chapters of Part II. These formulas are used as a basis for all successive chapters. In fact, one would not be required to use the book sequentially even in a classroom environment. But it would be necessary to have the information presented in chapters 3 and 4 well in mind before departing from the sequence outlined. This points to the usefulness of the book as a reference text in that most researchers can turn to any chapter if they have sufficient background or they can read chapters 3 and 4 and then move to specific research models of their choice.