Selected Product:
| Measurement, Design, and Analysis: An Integrated Approach
Hardcover
Edition: 1
Author: Elazar J. Pedhazur, Liora Pedhazur Schmelkin
Publisher: Lawrence Erlbaum
Release Date: 1991-05-01
ISBN-10: 0805810633
ISBN-13: 9780805810639
List Price: $95.00
Average Customer Rating:
  | |
Publication Manual of the American Psychological Association
ISBN-10: 1557987912
ISBN-13: 9781557987914
List Price:$27.95
Using SPSS for Windows and Macintosh: Analyzing and Understanding Data (5th Edition)
ISBN-10: 0131890255
ISBN-13: 9780131890251
List Price:$86.20
Experimental and Quasi-Experimental Designs for Generalized Causal Inference
ISBN-10: 0395615569
ISBN-13: 9780395615560
List Price:$91.46
Statistical Methods for Psychology
ISBN-10: 0495012874
ISBN-13: 9780495012870
List Price:$165.95
Statistics
ISBN-10: 0471722294
ISBN-13: 9780471722298
List Price:$103.00
|
To use our price comparison to get the cheapest price, please click on the "Find the Cheapest Price" button located above for Measurement, Design, and Analysis: An Integrated Approach by Elazar J. Pedhazur, Liora Pedhazur Schmelkin (ISBN-10: 0805810633, ISBN-13: 9780805810639).
At this time we have not yet written a review for Measurement, Design, and Analysis: An Integrated Approach by Elazar J. Pedhazur, Liora Pedhazur Schmelkin (ISBN-10: 0805810633, ISBN-13: 9780805810639). Please continue to keep checking back to this page as we are constantly adding reviews.
Summaries and Customer Reviews are supplied by Amazon.com
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.
Statistical dummies can understand this
| Customer Rating:  | | 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
| Customer Rating: | 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
| Customer Rating: | 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
| Customer Rating: | | 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. |
|
