Lesson 4G – Research Methods in Ergonomics
This lesson illustrates the most common parametric and nonparametric statistical tests used to determine whether interventions improve human factors and HMI issues in production systems environments.
- Apply the 6-step method for solving statistical inference problems commonly encountered while measuring human performance for: 1) Two independent samples (Wilcoxon Rank Sum Test); 2) Two independent proportions (Chi-square Test for Proportions); 3) Paired samples (Wilcoxon Signed Rank Test); and, Three or more independent samples (Kruskal-Wallis Test)
- K0036: Knowledge of human-computer interaction principles.
- K0245: Knowledge of principles and processes for conducting training and education needs assessment.
- K0246: Knowledge of relevant concepts, procedures, software, equipment, and technology applications.
- K0252: Knowledge of training and education principles and methods for curriculum design, teaching and instruction for individuals and groups, and the measurement of training and education effects.
- K0329: Knowledge of statistics.
- S0021: Skill in designing a data analysis structure (i.e., the types of data your test must generate and how to analyze those data).
- S0030: Skill in developing operations-based testing scenarios.
- S0060: Skill in writing code in a currently supported programming language (e.g., Java, C++).
- A0040: Ability to translate data and test results into evaluative conclusions.
- A0118: Ability to understand technology, management, and leadership issues related to organization processes and problem solving.
- Basic Data Analysis
- Basic Scripting or Introductory Programming
- Probability and Statistics
- Industrial Control Systems