Regression Analysis and the Philosophy of Social Sciences: a Critical Realist View
Systems Analysis and Design Methods, 7e, Whitten, ISBN 0073052345, McGraw-hill, TB
Whitten - systems analysis and design methods - 7e, testbank 0073052345
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The ideas put forth in this book are not articulated in a way that I found to be useful. Also, even when you do understand the concepts, the actual work can be quite challenging to do (impossible).
For instance, the homework questions are all based on output you get from SAS. The thing about that is, there is not a single line of SAS code in this book. In other words, if you don't have handouts from your teacher or prior knowledge of the SAS language, you can do absolutely nothing with the formulae gleaned from the text. These formulae are merely conceptual, to help you understand what the computer is doing for you. That is to say, the material is bound strongly to SAS, it constantly makes reference to SAS output but doesn't tell you how to make SAS DO ANYTHING. It was mandatory for me to buy this book and, in fact, it's the most expensive text I've EVER purchased. Used $170.
On top of that, the actual questions are worded in the most absurd fashion,... read more
I am very surprised by the poor rating this book received. This book is a definite keeper as a reference book on multivariate regression. Personally, I enjoy Statistics, but I even found multivariate and logistic regression difficult to grasp...especially for a "linear" and "continuous" thinker like me. This textbook has a LOT of details, and would be very confusing if you are trying to learn this on your own. One does have to spent time reading the chapters slowly and carefully, since the book is not an easy read, however, the information is excellent. I don't know how other classes are setup, but my class was taught using this textbook and SAS (SAS output), which are nicely presented in the book. When used in conjunction with good professor lectures and familiarity with SAS programing, I thought it was an excellent reference book. The problems at the end of the chapters were difficult to manually work through, but my professor used the datasets for our homework assignments (mainly... read more
Difficult to read unless you have a strong math background. The questions often seem to not relate to the text. Few examples provided in the text, if any. If you're stuck, there is no way that the book can help you figure out an answer in many cases. Few solutions provided in the back of the textbook, so you cannot check if you are doing the work correctly.
Also very expensive. This was a required text for me, but after the first few weeks of class I have used almost exclusively internet resources and have used other textbooks to help me learn.
Avoid this text if possible.
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