Module 11 Overview:
This module introduces students to the importance of quantifying the amplitudes and latencies of component waveforms and using statistics to determine if conditions and groups are different from each other.
Module Navigation
Module 2: Source of the EEG Waveform
Module 6: Programming Experiments
Module 10: Averaging & Data Inspection
Module 11: Data Quantification & Statistics
Module 12: Data Visualization & Communication
Units:
Data Quantification
Overview: This unit introduces students to the importance of quantifying the amplitudes and latencies of component waveforms.
Learning Goals:
- Appreciate the difference between “eyeballing” data and evaluating patterns quantitatively
- Relate the research question to the selection of ERP quantification method
- Consider how quantification choices can affect statistical results and conclusions
Materials Included: Slides, In-class Lab, Take-home Lab
Waveform Quantification Lab: In this lab students will learn to how select electrodes and the time windows for components. Students will also learn how to extract amplitude and latency data from the waveforms.
Statistics
Overview: This unit introduces students to the importance of using statistics to determine if conditions and groups are different from each other. It focuses on factorial research designs and how to interpret the statistics generated by SPSS or Jamovi.
Learning Goals:
- Consider how quantification choices can affect statistical results and conclusions
- Apply basics of Factorial/ANOVA design to ERP data
- Understand how ANOVA results relate to research questions
Materials Included: Slides, In-class Activities, In-class Lab, Take-home Lab
Averaging and Data Inspection Lab: This tutorial will step you through the process of using SPSS to run a 2 x 2 repeated-measures ANOVA on mean amplitude data. We will also investigate potential electrode location differences in visual attention processing.