A latent scale model to minimize subjectivity in the analysis of visual rating data for the National Turfgrass Evaluation Program.

ABSTRACT:

Introduction

Traditional evaluation procedure in National Turfgrass Evaluation Program (NTEP) relies on visually assessing replicated turf plots at multiple testing locations. This process yields ordinal data; however, statistical models that falsely assume these to be interval or ratio data have almost exclusively been applied in the subsequent analysis. This practice raises concerns about procedural subjectivity, preventing objective comparisons of cultivars across different test locations. It may also lead to serious errors, such as increased false alarms, failures to detect effects, and even inversions of differences among groups.

Methods

We reviewed this problem, identified sources of subjectivity, and presented a model-based approach to minimize subjectivity, allowing

SUBMITTER: Qu Y 

PROVIDER: S-EPMC10390229 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature