Research and Markets: Introduction to Quantitative Data Analysis

DUBLIN--(BUSINESS WIRE)-- Research and Markets (http://www.researchandmarkets.com/research/sdbhp7/introduction_to) has announced the addition of the "Introduction to Quantitative Data Analysis" training to their offering.

Where should you start with quantitative data analysis for market research projects? How can you get the most from frequencies and crosstabs? How can you work effectively with data analysts or statisticians who may be supporting your market research projects? What are some of the important predictive options you can consider? In this 4-week power program, you will learn the basics of quantitative analysis in a fun, practical way. Includes examples, exercises, and real-time demonstrations. This market research class is ideal for those new to quantitative data analysis. No previous background in statistics is required.

Note: This class does not include hands-on programming (we recommend that for hands-on programming, you take one of the many excellent classes offered by your statistics software supplierssuch as SAS, Sawtooth or SPSS).

Class Type: Power Program

4 classes, 90 minutes each

Key Topics Covered:

Day 1 (90 minutes): Start with a Plan and Basic Concepts in Data Analysis

- Crafting a data analysis plan

- Steps for making sure the data analysis will support project objectives

- Basic statistics: Mean, Median, Mode

- Population variability

- Looking at frequency distributions

- When to use top 2 boxes

- In class exercise

Day 2 (90 minutes): All about Crosstabs and What are Predictive Analytics?

- Demonstration

- How to read banner tables

- Common uses

- Pitfalls to avoid

- Examples of things market researchers need to predict

- Examples using regression, CHAID and CART

Day 3 (90 minutes): Data Analysis Considerations and Is my Data Reliable?

- Do I need to weight my data?

- How do I handle verbalisms/open-ended responses?

- How do I clean my data?

- Sample size calculations

- 5 factors that impact quantitative data quality

- In class exercise

Day 4 (90 minutes): Drawing Logical Conclusions and Review

- How to identify key findings

- Correlation vs. causation

- In class exercise

- Special considerations for B2B vs. consumer research

- 3 things to do before presenting quantitative data results

- Final review exercise

For more information visit http://www.researchandmarkets.com/research/sdbhp7/introduction_to

Research and Markets
Laura Wood, Senior Manager.
U.S. Fax: 646-607-1907
Fax (outside U.S.): +353-1-481-1716
Sector: Training

Source: Research and Markets