What you’ll learn in this course

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 program, Instructor Dan Reynolds will teach 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 generating data analysis; it focuses on planning for and interpreting data analysis. For conducting data analysis, we offer Intro to SPSS , SPSS 201, and Statistics with R. We also recommend using the many excellent tutorials offered by the statistics software companies. 

Upon course completion, you will be able to:

  • Create a plan for data analysis success
  • Choose among several data analysis options
  • Avoid common pitfalls in data analysis
  • Use quantitative data to describe attitudes and behaviors

As a student, you get lots of helpful videos, readings and reference material.

 

Take a look inside the course

  • 1

    Welcome

    • Getting Ready to Rock!
  • 2

    Types of data, Summarizing data

    • Lesson Plan

    • Types of data, Summarizing data [Lecture]

    • Types of data, Summarizing data [Slide Viewer]

    • Types of data, Summarizing data [Slide File Download]

    • Rockstar Practice
  • 3

    Crosstabs, Reliability, Confidence Intervals

    • Lesson Plan

    • Crosstabs, Reliability, Confidence Intervals [Lecture]

    • Crosstabs, Reliability, Confidence Intervals [Slide Viewer]

    • Crosstabs, Reliability, Confidence Intervals [Slide File Download]

    • Rockstar Practice
  • 4

    Regression, CHAID (tree analysis), Weighting

    • Lesson Plan

    • Regression, CHAID (tree analysis), Weighting [Lecture]

    • Regression, CHAID (tree analysis), Weighting [Slide Viewer]

    • Regression, CHAID (tree analysis), Weighting [Slide File Download]

    • Rockstar Practice [Action Required]
  • 5

    Assessing and describing survey data reliability, Finding insights-igniting results

    • Lesson Plan

    • Assessing and describing survey data reliability, Finding insights-igniting results [Lecture]

    • Assessing and describing survey data reliability, Finding insights-igniting results [Slide Viewer]

    • Assessing and describing survey data reliability, Finding insights-igniting results [Slide File Download]
  • 6

    Bonus Resources

    • Recommended Reading & Viewing
  • 7

    Assessment

    • Your Rockstar Status Awaits: Final Assessment

Meet Your Instructor

Dan Reynolds, PhD

Assistant Professor of Education

Dan Reynolds has more than eleven years' teaching experience including high school, undergraduate, and master's classes — and two years with Research Rockstar. His expertise crosses many kinds of statistics, from basic inferential stats to more complex regressions, multilevel models, structural equation models, and item response models. Dan is an Assistant Professor of education at John Carroll University. He received his PhD in Education from Vanderbilt University in 2017, specializing in quantitative methodologies for social science research with a focus on high school literacy instruction. He also holds an Master's in Education and a Bachelor's in English from the University of Notre Dame.

Frequently Asked Questions

We are committed to advancing the work, and careers, of Market Research & Insights Professionals

  • What is 'hybrid eLearning'?

    Many Research Rocksktar students enjoy the schedule flexibility of our on-demand training format. That's great! But for those seeking an interactive experience with real-time instructor demonstrations and support, nothing beats our real-time sessions! All Research Rockstar courses are offered twice a year in real-time. And 24/7 in the on-demand format.

  • Why memberships?

    Most of our students are working professionals with busy schedules. Sometimes they intend to complete training more quickly than the reality of looming project deadlines allow. With a membership, students have access to all of their classes. No time-outs!

  • Can I get a Free Trial?

    Yes! You can try us out with a 14-day Free Trial.

  • Can I get a group discount?

    Yes. If you have a team of five or more people, please contact [email protected]com to ask about volume discounts. We also offer private training for groups either in the virtual classroom or at your location.

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