Analyzing and Reporting Questionnaire Data (ARQD)

This is a "down-to-earth" practical workshop using a case study approach that teaches participants to understand statistics, develop a data analysis plan, write effective research reports, select appropriate computer software, understand the application of multivariate statistics, and present oral reports of research results. This workshop bridges the gap between theory and practice, and participants will gain skills that can be immediately applied to their next research project by use of hands-on learning. These workshops are taught by experts in the field, each with more than 35 years of experience managing and conducting research projects.

The following are the Analysis Solutions and Case Study Applications that will be covered in the workshop:

Day 1
Analysis Solutions
8:30am - 4:30pm

Planning your analysis:

• How to develop a data analysis plan driven by your research purpose
• Analyzing responses to open-ended questions
• Avoiding 10 common analysis disasters
• Translating management goals into analysis
• Making certain that questions are appropriate for your desired analysis

Software hints for survey analysis:

• Computer software that goes beyond tabs and banners
• Selecting the right computer software for your needs
• Software for web surveys
• Widely used computer software packages for surveys
• Powerful software tools for analyzing your data

Understanding statistics:

• Taking the mystery and fear out of statistics
• Step-by-step guide for choosing the best statistics
• Statistical tests -- what they mean in simple language
• How statistics can help you make decisions more easily
• Mastering statistics

Multivariate analysis tools:

• Easy-to-understand introduction to multivariate analyses including perceptual maps, conjoint analysis, and choice modeling
• Learn when to use multivariate procedures
• Practical uses of common multivariate techniques

Day 2
Case Study Application
8:30am - 4:00pm

Case Study: Making analysis decisions:

• Choosing the right statistical analyses
• Work with a case study involving customer satisfaction data

Case Study: Interpreting statistical results correctly:

• Explaining complicated data in simple language
• Translating statistics into meaningful action
• How to interpret computer printout -- separating the wheat from the chaff

Making decisions correctly with data:

• When and how to weight data
• Creating scores and indexes to enhance decision-making
• Creating useful summary measures

Case Study: Communicating results effectively:

• Writing research reports that people with read
• Easy-to-follow guidelines for presenting data
• Constructing data tables that people will understand
• The 3 essential components of any research report
• "A picture is worth 1,000 words" -- the power of graphics
• How to prepare effective oral presentations
• How to use graphics effectively
• Hints for telling the "story" in your data
• Getting to the essence of your research

Sessions are 8:30am - 4:30pm on Thursday, and 8:30am - 4:00pm on Friday.
Complimentary Continental Breakfast will be served each day.

Agenda

Day 1
Registration
Introduction
Organizing for Data Analysis
Formulating Research Questions
Software Considerations
Choosing Appropriate Statistical Techniques

Day 2
Multivariate Analysis
Data Analysis
Interpretation of Statistics
Data Presentation

Visit the registration page, or contact us if you have any questions.

(Go back to web version)