The Self as a Moral Basis: Do Our Own Patterns of Behavior Affect our Moral Attributions?

To determine which actions are morally acceptable, psychologists typically focus on decision making within existing moral paradigms. However, this fails to comment upon individual and social processes, such as attribution, that determine morality. To address these processes, this study had participants respond to morally-charged scenarios by rating the immorality of an actor who did not tip a waiter (n = 125), was partial to infidelity (n = 128), and texted while driving (n = 128). Participants also completed an empathy measure, and provided their own frequency of engaging in certain behaviors, including those featured in the scenarios. Immorality ratings were compared to the participants’ own frequency of the scenario action (hypothesized to lower ratings), as well as empathy and outcome severity (both hypothesized to increase ratings). Findings were assessed in three regressions, one per scenario. Behavioral similarity predicted immorality ratings in each (p ≤ .03), empathy predicted ratings only for not tipping a waiter (p = .04), while outcome severity was un-predictive in each scenario. Theoretical implications, directions for future research, and limitations of the study are discussed.

An evaluation of home range models for marine fish tracking and fine scale habitat use and movement patterns of age 1 Greenland cod (Gadus macrocephalus ogac)

My thesis examines fine-scale habitat use and movement patterns of age 1 Greenland cod (Gadus macrocephalus ogac) tracked using acoustic telemetry. Recent advances in tracking technologies such as GPS and acoustic telemetry have led to increasingly large and detailed datasets that present new opportunities for researchers to address fine-scale ecological questions regarding animal movement and spatial distribution. There is a growing demand for home range models that will not only work with massive quantities of autocorrelated data, but that can also exploit the added detail inherent in these high-resolution datasets. Most published home range studies use radio-telemetry or satellite data from terrestrial mammals or avian species, and most studies that evaluate the relative performance of home range models use simulated data. In Chapter 2, I used actual field-collected data from age-1 Greenland cod tracked with acoustic telemetry to evaluate the accuracy and precision of six home range models: minimum convex polygons, kernel densities with plug-in bandwidth selection and the reference bandwidth, adaptive local convex hulls, Brownian bridges, and dynamic Brownian bridges. I then applied the most appropriate model to two years (2010-2012) of tracking data collected from 82 tagged Greenland cod tracked in Newman Sound, Newfoundland, Canada, to determine diel and seasonal differences in habitat use and movement patterns (Chapter 3). Little is known of juvenile cod ecology, so resolving these relationships will provide valuable insight into activity patterns, habitat use, and predator-prey dynamics, while filling a knowledge gap regarding the use of space by age 1 Greenland cod in a coastal nursery habitat. By doing so, my thesis demonstrates an appropriate technique for modelling the spatial use of fish from acoustic telemetry data that can be applied to high-resolution, high-frequency tracking datasets collected from mobile organisms in any environment.