Research Design - Statistics

This webinar series helps participants build a foundational understanding of how research questions align with research designs and statistical analyses. Topics include descriptive and inferential statistics, comparative statistics, and correlational statistics, all illustrated through real-life case studies demonstrating how to apply statistics to practical decision-making challenges. Participants will leave with the ability to select appropriate statistical methods based on research questions and design frameworks commonly encountered in institutional research and assessment work.

  • Understand the basics of descriptive statistics.
  • Understand descriptive, comparative, and correlational research designs.
  • Identify when inferential statistics are needed.
  • Articulate how to compare differences in percentage responses across groups (chi-square).
  • Articulate how to compare the difference in mean between groups (t-tests).
  • Articulate how to calculate the relationship between variables (correlation).

Registration Information

A recording of this webinar will be available for 30 days from the time of purchase.

Length/Time Commitment

2 Hours


Recorded Date: 01/11/2018

Format: On-Demand

Topic: Methods, Research, and Analytics; Statistics

Experience Level: All

Member/Non-Member Price: $190 members/$210 non-members

Presenter(s): Mary Ann Coughlin, Springfield College

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