Developmental Research Methods

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Developmental Research Methods, now in its Fourth Edition, successfully presents an overview of methods to prepare students to carry out, report on, and evaluate research on human development, with a focus on the whole lifespan. Updated and expanded coverage of the traditional topics blends seamlessly with new topics such as cross-cultural research, animal research, causal modeling, autobiographical memory, and peer relations to provide students with a wealth of current information. Author Scott A. Miller explores every step in the research process, from the initial concept to the final written result, covering conceptual issues of experimental design as well as the procedural skills necessary to translate design into research.

Developmental Research Methods Review

This book was required for my introductory Research Methods course in graduate school. There was nothing bad about this book, as it definitely provided the required information, but it was not as inviting as the other textbook we used with it in the same class. This is not the type of book you'll just peruse for more insight, though our other textbook was.

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An Introduction to Experimental Design and Statistics for Biology

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This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by worked examples. The examples are drawn from all areas of biology, from biochemistry to ecology and from cell to animal biology. The book provides everything required in an introductory statistics course for biology undergraduates, and it is also useful for more specialized undergraduate courses in ecology, botany, and zoology.

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An Introduction to Experimental Design and Statistics for Biology Review

I used this book for a class at Clemson University over the summer of 2011. It has an easy to follow approach to scientific research design and offers some great explanations of how to use statistical models in any level of study involving biological topics.

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Lean Done Right: Achieve and Maintain Reform in Your Healthcare Organization (ACHE Management Series)

You looking to find the "Lean Done Right: Achieve and Maintain Reform in Your Healthcare Organization (ACHE Management Series)" Good news! You can purchase Lean Done Right: Achieve and Maintain Reform in Your Healthcare Organization (ACHE Management Series) with secure price and compare to view update price on this product. And deals on this product is available only for limited time.

   

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Winner of the Axiom Business Book Award Silver Medal - Operations Management and Shingo Research and Professional Publication Award!

Your healthcare organization cannot afford to waste time, money, or resources on an improper Lean implementation. You want to create a culture of continuous improvement, not a regime of tools that address problem areas but have short-lived results.

Lean Done Right: Achieve and Maintain Reform in Your Healthcare Organization provides a roadmap for launching a transformative and sustainable Lean initiative. The Lean implementation model focuses on strategically directed action, developing a lean organizational culture, and enhancing the care delivery system.

Chapters include:
Death by Kaizen Event
A Lean Implementation Model
Strategically Directed Action
The Culture-Creating Path
Implement the Value Stream Work Plan
The System-Creating Path

Lean Done Right: Achieve and Maintain Reform in Your Healthcare Organization (ACHE Management Series) Review

I am a hospital executive and I found this book very helpful and practical. It takes you through step by step how to drive cultural change. I recommend this to anyone that is in the healthcare industry.

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Principles of Biomedical Informatics

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This book provides a foundation for understanding the fundamentals of biomedical informatics, which deals with the storage, retrieval, and use of biomedical data for biological problem solving and medical decision making. It covers the application of these principles to the three main biomedical domains of basic biology, clinical medicine, and public health. The author offers a coherent summary, focusing on the three core concept areas of biomedical data and knowledge representation: biomedical information access, biomedical decision making, and information and technology use in biomedical contexts.

* Develops principles and methods for representing biomedical data, using information in context and in decision making, and accessing information to assist the medical community in using data to its full potential

* Provides a series of principles for expressing biomedical data and ideas in a computable form to integrate biological, clinical, and public health applications

* Includes a discussion of user interfaces, interactive graphics, and knowledge resources and reference material on programming languages to provide medical informatics programmers with the technical tools to develop systems

Principles of Biomedical Informatics Review

This is an *excellent* book. I read it enthusiastically and I'm glad that it was available for me to do so. I think it fills a unique niche in the informatics book market in two ways:
- it is a book with significant attention to clinical informatics that has a strong computer science angle.
- it is an informatics "monograph"

While informatics is often described as the intersection between something like computer science, life science/medicine and library science books rarely position themselves squarely at this intersection. I have found that it is easier to find bioinformatics books that have a strong computer science angle than it is to find clinical informatics books with a strong CS/implementation angle. This book is the exception to that rule. It has an unabashedly serious approach to the computing inherent in clinical informatics (one should take author's choice of Lisp as telling) and a clinical focus. The treatment of library science topics, while less rigorous, is present and credible.

Unlike the standard textbooks in the area (ex: Shortliffe) it is not an edited volume; rather, it hangs together page after page as a single work by a single author. Because it has the hand of an individual it a much more pleasant book to read from cover-to-cover.

The physical book is very appealing. The pager is glossy and thick, the binding is substantial, the dimensions are pleasant, the figures are clear, and the typesetting (as with all LaTeX books) beautiful. Unfortunately unlike most LaTeX books it is hard to read. While the pages look wonderful I found that function was sacrificed in the process. The vertical spacing is cramped, the margins are small, and the lines are long. This makes the going slow and difficult which detracts from an otherwise excellent book. If it was 50 pages longer with a bit more generous white space the book would be a complete home run.

In short, I have nothing but positive things to say about the content of this book and mixed emotions about the physical book. I would suggest that the ideal reader has some background in informatics. For total novices the larger edited volumes are a better starting point. Additionally, while a reasonable introduction to Lisp is provided some background knowledge of the language is helpful.

If you care about informatics, have a soft spot for Lisp and want to really hold the field in your hands this is a book that cannot be overlooked.

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Smart Cameras

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A smart camera is an integrated machine vision system which, in addition to image capture circuitry, includes a processor, which can extract information from images without need for an external processing unit, and interface devices used to make results available to other devices. This book provides content on smart cameras for an interdisciplinary audience of professionals and students in embedded systems, image processing, and camera technology. It serves as a self-contained, single-source reference for material otherwise found only in sources such as conference proceedings, journal articles, or product data sheets. Coverage includes the 50 year chronology of smart cameras, their technical evolution, the state-of-the art, and numerous applications, such as surveillance and monitoring, robotics, and transportation.

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Smart Cameras Review

I purchased this book for strengthening my understanding about smart cameras. I am satisfied with what I learned. Even though the book a little outdated (before the iPhone came out) but many of its analysis and predictions turn out to be correct nowadays. It seems that the authors spent serious efforts on it.

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Statistical Concepts: A Second Course

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Statistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts, 3^rd ed. Designed for the second course in statistics, it is one of the few texts that focuses just on intermediate statistics. The book highlights how statistics work and what they mean to better prepare students to analyze their own data and interpret SPSS and research results. As such it offers more coverage of non-parametric procedures used when standard assumptions are violated since these methods are more frequently encountered when working with real data. Determining appropriate sample sizes is emphasized throughout. Only crucial equations are included.

The new edition features:

• New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award.


• A new chapter on logistic regression models for today's more complex methodologies.


• Much more on computing confidence intervals and conducting power analyses using G*Power.


• All new SPSS version 19 screenshots to help navigate through the program and annotated output to assist in the interpretation of results.


• Sections on how to write-up statistical results in APA format and new templates for writing research questions.


• New learning tools including chapter-opening vignettes, outlines, a list of key concepts, "Stop and Think" boxes, and many more examples, tables, and figures.


• More tables of assumptions and the effects of their violation including how to test them in SPSS.


• 33% new conceptual, computational, and all new interpretative problems.


• A website with Power Points, answers to the even-numbered problems, detailed solutions to the odd-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets.

Each chapter begins with an outline, a list of key concepts, and a research vignette related to the concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides tips for how to run SPSS and develop an APA style write-up. Tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. Each chapter includes computational, conceptual, and interpretive problems. Answers to the odd-numbered problems are provided. The SPSS data sets that correspond to the book� s examples and problems are available on the web.?

The book covers basic and advanced analysis of variance models and topics not dealt with in other texts such as robust methods, multiple comparison and non-parametric procedures, and multiple and logistic regression models. Intended for courses in intermediate statistics and/or statistics II taught in education and/or the behavioral sciences, predominantly at the master's or doctoral level. Knowledge of introductory statistics is assumed.

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Statistical Concepts: A Second Course Review

This book clearly explains statistics concepts and gives lots of examples that are easy to understand! The chapters are divided by types of ANOVA. My favorite part is that there is an example of a write up in APA form at the end of each chapter.

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