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 | | Measurement, Design, and Analysis: An Integrated Approach by Elazar J. Pedhazur, Liora Pedhazur Schmelkin ISBN-10: 0805810633 ISBN-10: 0-8058-1063-3 ISBN-13: 9780805810639 ISBN-13: 978-0-8058-1063-9 Hardcover 1991-05-01 Lawrence Erlbaum Find Lowest Price |
Editorials | ||
Product Description In textbooks and courses in statistics, substantive and measurement issues are rarely, if at all, considered. Similarly, textbooks and courses in measurement virtually ignore design and analytic questions, and research design textbooks and courses pay little attention to analytic and measurement issues. This fragmentary approach fosters a lack of appreciation of the interrelations and interdependencies among the various aspects of the research endeavor. Pedhazur and Schmelkin's goal is to help readers become proficient in these aspects of research and their interrelationships, and to use that information in a more integrated manner. The authors offer extensive commentaries on inputs and outputs of computer programs in the context of the topics presented. Both the organization of the book and the style of presentation allow for much flexibility in choice, sequence, and degree of sophistication with which topics are dealt. | ||
Reviews | ||
Statistical dummies can understand this The book is well laid out and the examples well explained without statistical jargons that confuse people. I have forgotten most of the statistics that I learnt in school but I was able to recall and follow through while reading this book. It is easy for even the 'statistical dummies' to understand, in my opinion. I will highly recommend it for graduate students. | ||
Comprehensive and comprehensible I assign this book in my graduate psychology research methods seminar. I also supplement the book with original sources, but I like to have my students read the relevant chapters from P&S first, as it provides a well-written overview and framework for integrating the articles they read subsequently. I haven't found a textbook for graduate research methods that I've liked better, and believe me I've looked. The clarity of the writing is the greatest strength of the book. Chapters are written in an extremely easy to read manner, and they communicate difficult concepts clearly. I frequently get comments from my students such as "I didn't understand the multitrait-multimethod matrix article until I read the summary of it in Pedhazur & Schmelkin." My students also find the chapters on statistical analysis quite helpful, even though I don't cover that material in my class. I recommend this book strongly to anybody in the social sciences. | ||
good library-builder We used P&S (as we called it) in our PhD research methods seminar, and I still refer to it from time to time when I need to cite a source in research methodology. The intended audience of this book is definitely academic researchers and PhD students. Although I suppose a master's student with a concentration in quantitative methods might also find it useful. P&S are comprehensive in their coverage of research methodology, particularly quantitative methods, and associated research designs. I found their chapters on instrument development, construct validation, and experimental designs particularly useful. I also think P&S stands up well as compared to other similar works, such as Nunally, for instance. I keep both on my shelf, but I find Nunally more useful for cites that require a "rule of thumb" or justification of a particular research decision, while I find P&S more useful for "how to" aspects of research design or explanations of the many various procedures that quantitative researchers encounter in the course of their work. Overall, I would recommend this book as a valuable addition to the library of any academician or PhD student. | ||
Comprehensive Invalvuable Reference for Statistical Research This outstanding textbook is a "One Stop Shop" for the majority of essential topics for researchers with a statistical background. Exhaustive. Personnel without an anaylitical/technical background may find it hard to use. As a reference for someone doing a Phd, it is a book you'll refer to again and again. | ||
The Definitive Reference on Statistics for Researchers This is an essential book for anyone doing advanced postgraduate research (especially PhD level). It is quite heavy reading but is a definitive reference on the use, interpretation and reporting of statistics, including lots of little known information about effect size, sample sizes, statistical power not covered in standard texts. Best of all, it exposes lots of common misconceptions and mistakes committed in most published research - after reading this book, you will be amazed how often these mistakes are made even in papers published in top journals. You can be pretty sure that if you satisfy the (very rigorous) requirements of this book, that your thesis will get past any examiner! A statistics book written FOR researchers BY researchers (rather than statisticians) | ||