Data Literacy Activities
Prepare Students for Research, Careers, and Beyond with Data Literacy
In psychology and the social sciences, data literacy is no longer optional—it’s foundational. From APA standards to employer expectations, the ability to read, analyze, and interpret data–all with ethically-sound research processes– is a core competency for today’s students.
Our assignable and gradeable Data Literacy Activities support your curriculum by targeting the five essential skill areas identified in both educational and workplace research:
- Let’s Take a Look!: Visual Displays of Data – Helps students confidently interpret charts, tables, and visual data
- How’d You Do That?: Methods in Psychological Research – Teaches when and how to apply different research approaches
- Why, Why, Why?: Quantitative versus Qualitative Research – Clarifies these core concepts and their practical uses
- Chart It, Sort It, Spot It!: Descriptive Statistics – Reinforces statistical thinking in an accessible way
- They Did Not!: Ethics in Psychological Research – Emphasizes responsible data use, aligned with APA ethics codes
- NEW Activity: How Important is That Education? Using Visual Displays to Understand Data (helps students apply data literacy skills to a highly relevant topic) AVAILABLE Fall 2026
- NEW Activity: Milgram’s research (explores ethics) AVAILABLE Fall 2026
- NEW Activity: 7-Up longitudinal study (explores descriptive statistics) AVAILABLE Fall 2026
- NEW Activity: Twin and adoption studies (explores research methods) AVAILABLE Fall 2026
- NEW Activity: Stress (explores qualitative vs. quantitative research methods) AVAILABLE Fall 2026
These skills not only support degree requirements and APA guidelines, but also help boost the basic data skills that employers expect from day one.
Integrate data literacy into your course with ready-to-use, targeted content that complements your teaching and promotes student readiness—for research, for graduate study, and for the job market. Support your students with the skills that matter. Let’s build data literacy—together.
