Journal
IDEAS IN ECOLOGY AND EVOLUTION
Volume 12, Issue 1, Pages 28-34Publisher
QUEENS UNIV
DOI: 10.24908/iee.2019.12.5.c
Keywords
-
Categories
Funding
- USGS Land Change Science and Ecosystems Programs
Ask authors/readers for more resources
As we enter the era of data science (Lortie 2018), quantitative analysis methodologies are proliferating rapidly, leaving ecologists with the task of choosing among many alternatives. The use of structural equation modeling (SEM) by ecologists has increased in recent years, prompting us to ask users questions about their experience with the methodology. Responses indicate an enthusiastic endorsement of SEM. Two major elements of respondent's experiences seem to contribute to their positive response, (1) a sense that they are obtaining more accurate explanatory understanding through the use of SEM and (2) excitement generated by the discovery of novel insights into their systems. We elaborate here on the detection of indirect effects, offsetting effects, and suppressed effects, and demonstrate how discovering these effects can advance ecology.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available