Discrete Choice Modeling and Conjoint Analysis
taught by Tony Babinec

Brief Description:

After taking this course, participants will be able to design appropriate conjoint and choice studies, using surveys, panels, and designed experiments. They will also be able to analyze and interpret the resulting data.

Instructor(s):
Level: Advanced/Intermediate

Who Should Take This Course:

Market researchers and consultants, analysts studying corporate strategy.

Dates:
April 12, 2013 to May 10, 2013
conjoint Click here to be reminded of future sessions of this course.

Registration:
Please read the syllabus tab, noting the prerequisites, text and software requirements.

Register Online -$499
Register Online -$399 (you must be affiliated with a college, university or high school)

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise. Multiple course registrations may be entitled to tuition discounts; read more.

Share This :

Discrete Choice Modeling and Conjoint Analysis
taught by Tony Babinec

Aim of Course:

In purchasing broadband internet service, what attributes matter to consumers? Price? Maximum bandwidth? Average bandwidth? Uptime? What is the consumer's ideal product? Are there consumer segments for which differential offerings could be constructed?

This course covers statistical techniques that address questions like this. Conjoint analysis is a marketing research technique that asks respondents to rank, rate, or choose among multiple products or services, where each product is described using multiple characteristics. Participants in this course will learn how to use experimental designs to manipulate the appearance of attribute levels in product concepts. Then, after the data are collected, participants will use statistical methods to infer how the product attribute levels drive preference or choice. They will then be able to use the resulting model to model how the market would choose among a set of competing product alternatives.

Prerequisite(s):
Participants should also have some familiarity with modeling, such as Regression Analysis, Logistic Regression, or Introduction to Data Mining.
Course Program:

SESSION 1: Fundamental Concepts

• Ranks, ratings, choices
• Random utility models

SESSION 2: Designing Conjoint and Choice Studies

• Samples
• Surveys
• Panel data
• Design of experiments

SESSION 3: Analysis and Interpretation

• Conjoint analysis of ratings
• Discrete choice models
• Prediction

SESSION 4: Case Studies

HOMEWORK:

Homework in this course consists of short answer questions to test concepts and guided data analysis problems using software.

Guided data modeling problems using software

Organization of the Course:

This course takes place over the internet at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

The course text is Applied Choice Analysis: A Primer by David A. Hensher, John M. Rose and William H. Greene, published by Cambridge Press. You can order it directly from the publisher here.

Software:

Examples of design and analysis will be shown in various software packages. While the course text is tuned to Nlogit/Limdepo, no software is required to do the coursework.

Register Now

Yes, I want to register for:

Discrete Choice Modeling and Conjoint Analysis
taught by Tony Babinec

Instructor(s):
Dates:
April 12, 2013 to May 10, 2013
Course Fee: $499
Academic Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

I am affiliated with an academic institution
I am not affiliated with an academic institution