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Designing Experiments And Analyzing Data

RRP $278.99

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Through this book's unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data. After seeing how these principles can be applied in simple designs, students are shown how these same principles also apply in more complicated designs.
Drs. Maxwell and Delaney believe that the model comparison approach better prepares students to understand the logic behind a general strategy of data analysis appropriate for various designs; and builds a stronger foundation, which allows for the introduction of more complex topics omitted from other books.
Several learning tools further strengthen the reader's understanding:
*flowcharts assist in choosing the most appropriate technique;
*an equation cross-referencing system aids in locating the initial, detailed definition and numerous summary equation tables assist readers in understanding differences between different methods for analyzing their data;
*examples based on actual research in a variety of behavioral sciences help students see the applications of the material;
*numerous exercises help develop a deeper understanding of the subject. Detailed solutions are provided for some of the exercises and *realistic data sets allow the reader to see an analysis of data from each design in its entirety.
Updated throughout, the second edition features:
*significantly increased attention to measures of effects, including confidence intervals, strength of association, and effect size estimation for complex and simple designs;
*an increased use of statistical packages and the graphical presentation of data;
*new chapters (15 & 16) on multilevel models;
*the current controversies regarding statistical reasoning, such as the latest debates on hypothesis testing (ch. 2);
*a new preview of the experimental designs covered in the book (ch. 2);
*a CD with SPSS and SAS data sets for many of the text exercises, as well as tutorials reviewing basic statistics and regression; and
*a Web site containing examples of SPSS and SAS syntax for analyzing many of the text exercises.
Appropriate for advanced courses on experimental design or analysis, applied statistics, or analysis of variance taught in departments of psychology, education, statistics, business, and other social sciences, the book is also ideal for practicing researchers in these disciplines. A prerequisite of undergraduate statistics is assumed. An Instructor's Solutions Manual is available to those who adopt the book for classroom use.


Single-case And Small-n Experimental Designs

RRP $242.99

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This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small-n designs so readers can draw valid causal inferences from small-scale clinical studies. The macros and example data are provided on the book's website so that users can run analyses of the text data as well as data from their own studies.

The new edition features:

  • More explanation as to why randomization tests are useful and how to apply them.
  • More varied and expanded examples that demonstrate the use of these tests in education, clinical work and psychology.
  • A website with the macros and datasets for all of the text examples in IBM SPSS and Excel.
  • Exercises at the end of most chapters that help readers test their understanding of the material.
  • A new glossary that defines the key words that appear in italics when they are first introduced.
  • A new appendix that reviews the basic skills needed to do randomization tests.
  • New appendices that provide annotated SPSS and Excel macros to help readers write their own or tinker with the ones provided in the book.

The book opens with an overview of single case and small n designs -- why they are needed and how they differ from descriptive case studies. Chapter 2 focuses on the basic concepts of randoization tests. Next how to choose and implement a randomization design is reviewed including material on how to perform the randomizations, how to select the number of observations, and how to record the data. Chapter 5 focuses on how to analyze the data including how to use the macros and understand the results. Chapter 6 shows how randomization tests fit into the body of statistical inference. Chapter 7 discusses size and power. The book concludes with a demonstration of how to edit or modify the macros or use parts of them to write your own.

Ideal as a text for courses on single-case, small n design, and/or randomization tests taught at the graduate level in psychology (especially clinical, counseling, educational, and school), education, human development, nursing, and other social and health sciences, this inexpensive book also serves as a supplement in statistics or research methods courses. Practitioners and researchers with an applied clinical focus also appreciate this book's accessible approach. An introduction to basic statistics, SPSS, and Excel is assumed.


Design Concepts In Programming Languages

RRP $193.00

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Choice Outstanding Academic Title, 2009. Hundreds of programming languages are in use today--scripting languages for Internet commerce, user interface programming tools, spreadsheet macros, page format specification languages, and many others. Designing a programming language is a metaprogramming activity that bears certain similarities to programming in a regular language, with clarity and simplicity even more important than in ordinary programming. This comprehensive text uses a simple and concise framework to teach key ideas in programming language design and implementation. The book's unique approach is based on a family of syntactically simple pedagogical languages that allow students to explore programming language concepts systematically. It takes as its premise and starting point the idea that when language behaviors become incredibly complex, the description of the behaviors must be incredibly simple. The book presents a set of tools (a mathematical metalanguage, abstract syntax, operational and denotational semantics) and uses it to explore a comprehensive set of programming language design dimensions, including dynamic semantics (naming, state, control, data), static semantics (types, type reconstruction, polymporphism, effects), and pragmatics (compilation, garbage collection). The many examples and exercises offer students opportunities to apply the foundational ideas explained in the text. Specialized topics and code that implements many of the algorithms and compilation methods in the book can be found on the book's Web site, along with such additional material as a section on concurrency and proofs of the theorems in the text. The book is suitable as a text for an introductory graduate or advanced undergraduate programming languages course; it can also serve as a reference for researchers and practitioners.


The Laws Of The Web

RRP $16.99

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Despite its haphazard growth, the Web hides powerful underlying regularities -- from the organization of its links to the patterns found in its use by millions of users. Many of these regularities have been predicted on the basis of theoretical models based on a field of physics -- statistical mechanics -- that few would have thought applicable to the social domain.In this book, Bernardo Huberman explains in accessible language the laws of the Web. One of the foremost researchers in the field, Huberman has established, for example, that the surfing patterns of individuals are describable by a precise law. Such findings can lead to more efficient Web design and use. They also shed light on social mechanisms whose significance goes beyond the Web. In this sense, the Web is a gigantic informational ecosystem that can be used to quantify and test explanations of human behavior and social interaction.


The Lean Product Design And Development Journey

RRP $271.99

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This textbook presents a series of high performance product design (PD) and development best practices that can create or improve a product development organization. In contrast to other books that focus only on Toyota or another individual company applying lean, this book more broadly explains the lean philosophy and includes discussions of systems engineering, design for X (DFX), agile development, integrated product development, and project management. Product design and development can be understood as the product development process (PDP) being carried out in an information-based factory. The goal of the PDP is to create a concept or design for producing a product that reduces risk and uncertainty while gradually developing a new and error-free product, which can then be realized by manufacturing, selling, and delivering it to the customer. PDP is a problem-solving and knowledge-accumulation process, which is based on two pillars: "do the thing right" and "do the right thing". The former guarantees that progress is made and value is added by creating useful information that reduces uncertainty and/or ambiguity. The latter addresses the challenge to produce information at the right time, when it will be most useful. The "Lean Journey" proposed here takes a value-centric approach, where the lean principles are applied to PD allow the choice of tools and methods to emerge from observation of the individual characteristics of each enterprise. Therefore learning Lean Product Development (LPD) is not about learning tools but understanding how to apply the philosophy. The textbook comes with an accompanying manual containing problems and solutions available on Springer Extras.



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