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Classroom

Teaching to
Enhance
Research
Methods &
Statistics in Psychology

2024 Virtual Conference
December 11th & 12th 

10am -2pm Pacific Time

The PsychTERMS conference will bring together instructors of research methods and statistics in psychology for a virtual two-day interactive event. This conference is for instructors who: 

  • teach or are planning to teach research methods or statistics to undergraduate students.

  • are new or seasoned instructors of undergraduate research methods or statistics. 

  • want to learn more about novel, inclusive, and inspirational ways of teaching research methods and statistics. 

  • have well tested or evidence-based activities, assignments, or policies for effective teaching of research methods and statistics to share.

  • support students' critical thinking about research methods and statistics across the psychology curriculum, including in content courses.

Conference Themes

Audience and Lecturer

Interactive Teaching Demonstrations

Equity, Diversity and Inclusion in Teaching

Equitable Course Policies

Writing with Pen

Engaging Course Assignments

Computer with Graph

Innovative Course Activities

Scholarship of Teaching and Learning

Invited Speakers

JordanWagge2.jpg

Dr. Jordan R. Wagge 
Avila University

Dr. Wagge is a Professor and Chair of the Psychology Department at Avila University. She received her Ph.D. from Miami University in Ohio. She teaches courses in research methods and data analysis in the undergraduate and graduate programs.

 

Dr. Wagge's research interests include pedagogy, replication, open science, and decentering weight from conceptions of health. She runs the ROSE (Replication & Open Science Education) Lab which emphasizes student-led replications of published work and the scholarship of teaching and learning in research methods and statistics — particularly relating to open science and access. She has received funding from the National Science Foundation for her work on evaluating the Collaborative Replications and Education Project (CREP) as a pedagogical tool. 

Dr. Susan Nolan
Seton Hall University

Dr. Nolan is a Professor in the Department of Psychology at Seton Hall University. She received her Ph.D. in Clinical Psychology at Northwestern University and completed her clinical internship through the Vanderbilt University/Nashville Department of Veterans Affairs Internship Consortium. Dr. Nolan has taught a range of courses including Mental Health (formerly Abnormal Psychology), International Psychology, Introduction to Psychology, and Statistics. She has also co-authored several textbooks for Worth Publishers/Macmillan, including textbooks for statistics and introduction to psychology. 

Over the years, Dr. Nolan has pursued several lines of research, including studying perceptions of people with psychological disorders and exploring misinformation and scientific literacy. Her primary research focus at the moment is on international psychology education in terms of learning outcomes, assessment, and curricula. To learn more, check out the project website: 
icupo.org.

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Call for Submissions 

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Share a technique or best practice that you have implemented in a research methods or statistics course.​

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Presentations (20-min concurrent virtual talk) 

Presentations will focus on effective pedagogical aspects or approaches used to teach research methods or statistics courses. This format is best for presenting course-ready assignments or examples, pedagogical approaches or innovations that motivate students and support learning, and will likely include evidence of effectiveness and/or a connection to learning science/evidence based pedagogy.

 

Posters (60-min time in a shared virtual space, Gather, with a roaming audience): 

A virtual environment will be used to share a static infographic or poster and interact with other conference attendees via live video and audio or text chat. This format is best for more casual sharing and conversations about your resources, demos, creative use of textbooks, in class experiments, projects ideas, and useful data sets.

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The deadline to submit is November 1st, 2024

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