#1 Survey Software

    |   

Free Trial

    |
|   Contact Us
Online Survey Software - Enterprise Survey Software Solutions
    Home       Product Information     Enterprise Solutions     Mailing Lists     Consulting     Survey University     Client Login  
Online Survey Software - Product Information

   Survey Software      Send and Track     View Results     How To Guides     Research Topics     Tutorials     Outsourcing    

Marketing Research Textbooks and Articles (All materials used by permission)
Fundamentals of Marketing Research covers all facets of advanced marketing research including method, technique, and analysis at all levels. 900 pages.
Fundamentals of Marketing Research
Scott M. Smith Brigham Young University
Gerald S. Albaum University of New Mexico
Product Samples and Material to Download
Chapter 6. Online Marketing Research
Chapter 10. Measurement and Scaling in Marketing Research
Chapter 11. Designing Questionnaires
An Online Marketing Models text that explains the basic of building marketing models.  This text is available at no charge. Introduction to Marketing Models
By permission of Scott M. Smith, and William R. Swinyard, Professors of Marketing, Brigham Young University

Having people describe a brand by picking attributes
from a list is a quick and simple way to assess brand performance
and positioning . When used for online survey research,
such pick data also can save time and consequently
reduce respondent dropout rates . But, while correspondence
analysis can accurately measure brand performance,
how we collect the pick data can affect the results .
This article outlines how best to collect pick data and construct
a multi-brand sample in order to optimize pick data
reliability and discriminating power .

 

Using Correspondence Analysis To Map Relationships
By permission of David B. Whitlark and Scott M. Smith, Professors of Marketing, Brigham Young University
Having people describe a brand by picking attributes
from a list is a quick and simple way to assess brand performance
and positioning . When used for online survey research,
such pick data also can save time and consequently
reduce respondent dropout rates . But, while correspondence
analysis can accurately measure brand performance,
how we collect the pick data can affect the results .
This article outlines how best to collect pick data and construct
a multi-brand sample in order to optimize pick data
reliability and discriminating power . Pick and Choose
By permission of David B. Whitlark and Scott M. Smith, Professors of Marketing, Brigham Young University
Internet Shopper Segmentation
By permission of Chad R. Allred, Scott M. Smith, and William R. Swinyard, Professors of Marketing, Marriott School of Management, Brigham Young University

Advanced Techniques and Technologies in Online Research
By permission of Scott M. Smith, Professor of Marketing, Marriott School of Management, Brigham Young University; Jared Smith, Operations Manager, Google AdSense; and Chad R. Allred, Marriott School of Management, Brigham Young University
Phone: +1   801.705.4950 Email: support@perfectsurveys.com
Free 30 Day Trial   |   Home   |   Pricing   |   Contact Us   |   Sample Surveys   |   Help   |   Free Survey Library
Copyright 2006 www.perfectsurveys.com All Rights Reserved