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Warren L. Paul

Researcher at La Trobe University

Publications -  24
Citations -  449

Warren L. Paul is an academic researcher from La Trobe University. The author has contributed to research in topics: Causal model & Covariate. The author has an hindex of 8, co-authored 22 publications receiving 408 citations. Previous affiliations of Warren L. Paul include Melbourne Water.

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A comparison of occupant comfort and satisfaction between a green building and a conventional building

TL;DR: In this paper, the authors measured the comfort and satisfaction perceptions of the occupants of a green university building and two conventional university buildings with a questionnaire that asked occupants to rate their workplace environment in terms of aesthetics, serenity, lighting, acoustics, ventilation, temperature, humidity, and overall satisfaction.
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Microinvertebrate dynamics in riverine slackwater and mid-channel habitats in relation to physico-chemical parameters and food availability

TL;DR: Results from this study indicate that microinvertebrate abundance and diversity were greater in slackwater habitats than mid-channel habitats overall, corresponding with the slower current velocities associated with the former.
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A causal modelling approach to spatial and temporal confounding in environmental impact studies

TL;DR: It is argued that confounding can be controlled by adjusting directly for spatial or temporal location in a before-after (BA) or control-impact (CI) study, and it is further argued that there is no advantage in combining these designs in a BACI-type study, either from a causal modelling perspective or from the perspective of the assumptions implicit in BACi-type designs.
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Causal modeling with multivariate species data

TL;DR: The methods described here are sufficiently well established to be used in ecological research, and will allow ecologists to move towards plausible causal models and generate stronger inferences from observational multivariate community data than has been achieved to date.
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An Exploration of Student Attitudes and Satisfaction in a GAISE-Influenced Introductory Statistics Course.

TL;DR: This article used the Survey of Attitudes Toward Statistics (SATS-M) to evaluate the effect of an introductory statistics course redesigned according to the Guidelines for Assessment and Instruction in Statistics Education (GAISE) by examining the change in attitudes over the semester and, using supplementary data from an annual Student Feedback Survey, testing for a change in overall satisfaction following implementation of the redesigned course.