Data Quantification
Overview: This class introduces students to the importance of quantifying the amplitudes and latencies of component waveforms. It
Topics Covered:
- Understanding why “eye balling” the data is not sufficient and quantification of amplitudes and latencies is necessary
- How to determine the correct metric to measure for a component: peak, mean amplitude, etc.
- How to determine the time window for a component
- How to quantify the amplitude of a components
- How to quantify the latency of a component
Lab: Data Quantification
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 class 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.
Topics Covered:
- Understanding why “eye balling” the data is not sufficient to determine group and condition differences
- Introduction to concepts behind statistics—means and variances
- Understanding how the experimental design determines the statistical analyses
- How to interpret statistical outcomes
- How to use statistics outcomes to answer experimental questions
- Class activity: Identifying the factors of an experiment and changing the factors to ask different questions
Lab: Statistics
In this lab students will learn to conduct simple factorial designs using ERP data. SPSS and Jamovi versions of this lab are available.