DDQ TUE 2020-09-01 @ 12:45 PM

5. Design of Experiments

5.1. Agenda

  1. General Announcements

  2. Term Project: Milestone 0: IRB Training

  3. Homework 1: Affordances & Signifiers

  4. Discussion

5.2. Introduction

Ronald Fisher’s Principles for Designed Experiments

  1. Comparison: Comparisons between treatments are often compared against a scientific control or traditional treatment that acts as baseline.

  2. Randomization: The process of assigning individuals at random to groups or to different groups in an experiment, so that there is a uniform probability of study participation among individuals in the target population.

    • mitigates confounding

  3. Statistical Replication: Measurements are repeated and full experiments are replicated to help identify the sources of variation.

  4. Blocking: Blocking is the non-random arrangement of experimental units into groups consisting of units that are similar to one another.

  5. Orthogonality: Ideally, dependent variables in an experiment are uncorrelated.

  6. Factorial Design: Instead of testing each discrete dependent variable one at a time, groups are formed so that all combinations of discrete dependent variables (and their levels, if appropriate) are tested.

5.3. Statistics

5.3.1. Participant Counts

  • F2F:

  • Zoom: