We present a scientific replication of a benthic algae nuisance threshold study originally conducted in Montana, but we do so using a different sampling methodology in a different state. Respondents are asked to rate eight photographs that depict varying algae conditions. Our initial results show that Utah resident preferences for benthic algae levels are quite similar to those of Montana residents, thus replicating the Montana study. For the full Utah sample, though, Cronbachís ? indicated poor internal consistency in rating the photographs, so a ëmonotonicity ruleí was used to identify respondents providing monotonic preferences with respect to chlorophyll a densities. Simple graphical analyses are combined with ordered probit analysis to determine the maximum desirable density of chlorophyll a (Chl a). Our analysis indicates that Chl a levels in excess of 150 mg Chl a/m2 are undesirable, but the regression model suggests that those with strictly monotonic preferences were far more likely favor a more stringent standard.
Author ORCID Identifier
Paul M. Jakus https://orcid.org/0000-0001-9261-3709
.dta, .txt, .do
Description of files: File #1: Jakus et al Nutrient Criterion Data Archived for WRR.dta Stata 15 data (.dta) file created 10-10-17 at 12:01 p.m. All variables have complete labels, including codes. File #2: Jakus et al Stata Code for WRR.do Stata 15 code (.do) file that runs creates all statistics reported in WRR manuscript Special software required to use data Stata 15
Utah Division of Water Quality
Utah State University
Jakus, P. M., Nelson, N., & Ostermiller, J. ( 2017). Using survey data to determine a numeric criterion for nutrient pollution. Water Resources Research, 53, 10,188– 10,200. https://doi.org/10.1002/2017WR021527
Definition of acronyms, codes, and abbreviations: Stata 15 .dta file contains names and codes that are easily cross-checked with the WRR manuscript text and tables (see below).
Descriptions of parameters/variables Stata 15 .dta file contains names and codes that are easily cross-checked with the WRR manuscript text and tables (see below).
This work is licensed under a Creative Commons Attribution 4.0 License.
Jakus, P. M., Nelson, N., & Ostenmiller, J. (2017). Nutrient Criterion Data. Utah State University. https://doi.org/10.15142/T3NS7T
Additional FilesREADME.txt (2 kB)
Jakus et al Stata Code for WRR.do (2 kB)
Jakus et al Nutrient Criterion Data Archived for WRR.dta (106 kB)