Pickleloaf.com : Books : RESEARCH METHODS IN APPLIED SETTINGS: An Integrated Approach to Design and Analysis

 

Books : RESEARCH METHODS IN APPLIED SETTINGS: An Integrated Approach to Design and Analysis

In association with Amazon.com

by: Jeffrey A. Gliner, George A. Morgan

 : RESEARCH METHODS IN APPLIED SETTINGS: An Integrated Approach to Design and Analysis

Amazon.com's Price: $65.00
Prices subject to change.



Availability: Usually ships in 24 hours


This item ships for FREE with Super Saver Shipping.
Binding: Hardcover
Dewey Decimal Number: 300.72
EAN: 9780805829921
ISBN: 080582992X
Label: Lawrence Erlbaum
Manufacturer: Lawrence Erlbaum
Number Of Items: 1
Number Of Pages: 480
Publication Date: February 01, 2000
Publisher: Lawrence Erlbaum
Studio: Lawrence Erlbaum
Sales Rank: 48268




Related Items:

Editorial Review:

Product Description:
The authors of this unique text found that while most students can "crunch" the numbers quite easily and accurately with a calculator or computer, many have trouble seeing the "big picture" or seeing how research questions and design influence data analysis. As a result, the authors developed a semantically consistent framework that integrates traditional research approaches (experimental, quasi-experimental, comparative) into three basic kinds of research questions (difference, associational, and descriptive), which, in turn, lead to three kinds or groups of statistics with the same names.

This text:
*helps students become good consumers of research by demonstrating how to analyze and evaluate research articles;
*offers a number of summarizing diagrams and tables that clarify confusing or difficult to learn topics;
*points out the value of qualitative research and how it should lead quantitative researchers to be more flexible;
*divides all quantitative research questions into five logically consistent categories that help students select appropriate statistics and understand their cause and effect; and
*classifies design into three major types: between groups, within subjects, and mixed groups and shows that, although these three types use the same general type of statistics (e.g., ANOVA), the specific statistics in between-groups design are different from those in within-subjects and mixed groups.




Customer Reviews
Average Rating:  out of 5 stars

Rating: 5 out of 5 stars - Excellent explanations of research terms
This book is the required text for a course I am taking in a DBA program. I have taken quite a few courses in research and read many books, but this is the best book I have ever used for research. The book is actually enjoyable to read. I will rely on this book for as long as I am in the program and throughout my dissertation research.



Rating: 5 out of 5 stars - Interpretation of statistics at its best
This text is an top notch tool for understanding both research design and data analysis. The authors take an excellent approach to helping one understand the research process. As a professor of research design, I use this text in my classroom and recommend it wholeheatedly to anyone teaching research design or trying to learn it on their own. The text is well organized and the concepts are clearly developed.



Browse for similar items by category:
 
   

 

privacy policy