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Principles of Statistical Data Handling
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Principles of Statistical Data Handling



May 1996 | 336 pages | SAGE Publications, Inc
This book will help the reader understand the principles of data handling and make better use of computer data in research or study. It demonstrates how to input, manipulate and debug data to make substantive analysis easier and more accurate. Using a series of principles, universal concepts that apply no matter what the data-gathering context or computer software, Fred Davidson presents a situation or a problem, suggests how it might be resolved and demonstrates the implementation of each principle as it appears in the command languages of SAS and SPSS.
 
Introduction
A Principled Approach

 
 
Data Input
 
Data Manipulation
 
Data Debugging
 
Data Aspects of Statistical Analysis
 
The `End' of Data Handling
 
Conclusion
Data Handling Story-Problems

 

"Have you ever read and said to yourself, ‘Boy, I wish I had that back then?’ In the area of data handling and manipulation, this is that book." 

H. Gary Cook
Michigan State University

"Principles of Statistical Data Handling deals with the most neglected aspects of implementing a quantitative research design, that is, preparing the data for statistical analysis. Because this part of the process is so often neglected, it is the most common source of trouble when a quantitative research project crashes, produces gibberish, and has to be done all over again. Remarkably, the author writes an interesting and easy-to-read book on what might seem an irredeemably dreary and technical topic. I will recommend this book to almost every one of my students who plans to do a dissertation using quantitative data." 

W. Paul Vogt
State University of New York, Albany

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