Initial Validation of the Trust of Automated Systems Test (TOAST)

Trust is a key determinant of whether people rely on automated systems in the military and the public. However, there is currently no standard for measuring trust in automated systems. In the present studies we propose a scale to measure trust in automated systems that is grounded in current research and theory on trust formation, which we refer to as the Trust in Automated Systems Test (TOAST). We evaluated both the reliability of the scale structure and criterion validity using independent, military-affiliated and civilian samples....

2019 · Heather Wojton, Daniel Porter, Stephanie Lane, Chad Bieber, Poornima Madhavan

Statistics Boot Camp

In the test community, we frequently use statistics to extract meaning from data. These inferences may be drawn with respect to topics ranging from system performance to human factors. In this mini-tutorial, we will begin by discussing the use of descriptive and inferential statistics. We will continue by discussing commonly used parametric and nonparametric statistics within the defense community, ranging from comparisons of distributions to comparisons of means. We will conclude with a brief discussion of how to present your statistical findings graphically for maximum impact....

2019 · Kelly Avery, Stephanie Lane

The Effect of Extremes in Small Sample Size on Simple Mixed Models- A Comparison of Level-1 and Level-2 Size

We present a simulation study that examines the impact of small sample sizes in both observation and nesting levels of the model on the fixed effect bias, type I error, and the power of a simple mixed model analysis. Despite the need for adjustments to control for type I error inflation, our findings indicate that smaller samples than previously recognized can be used for mixed models under certain conditions prevalent in applied research....

2019 · Kristina Carter, Heather Wojton, Stephanie Lane

Scientific Test and Analysis Techniques

Abstract This document contains the technical content for the Scientific Test and Analysis Techniques (STAT) in Test and Evaluation (T&E) continuous learning module. The module provides a basic understanding of STAT in T&E. Topics coverec include design of experiments, observational studies, survey design and analysis, and statistical analysis. It is designed as a four hour online course, suitable for inclusion in the DAU T&E certification curriculum. Slides

2018 · Laura Freeman, Denise Edwards, Stephanie Lane, James Simpson, Heather Wojton

Scientific Test and Analysis Techniques- Continuous Learning Module

This document contains the technical content for the Scientific Test and Analysis Techniques (STAT) in Test and Evaluation (T&E) continuous learning module. The module provides a basic understanding of STAT in T&E. Topics covered include design of experiments, observational studies, survey design and analysis, and statistical analysis. It is designed as a four hour online course, suitable for inclusion in the DAU T&E certification curriculum. Suggested Citation Pinelis, Yevgeniya, Laura J Freeman, Heather M Wojton, Denise J Edwards, Stephanie T Lane, and James R Simpson....

2018 · Laura Freeman, Denise Edwards, Stephanie Lane, James Simpson, Heather Wojton

Vetting Custom Scales - Understanding Reliability, Validity, and Dimensionality

For situations in which an empirically vetted scale does not exist or is not suitable, a custom scale may be created. This document presents a comprehensive process for establishing the defensible use of a custom scale. At the highest level, this process encompasses (1) establishing validity of the scale, (2) establishing reliability of the scale, and (3) assessing dimensionality, whether intended or unintended, of the scale. First, the concept of validity is described, including how validity may be established using operators and subject matter experts....

2018 · Stephanie Lane