Year of Publication

2019

Degree Name

Doctor of Philosophy (PhD)

Document Type

Doctoral Dissertation

College

Arts and Sciences

Department

Psychology

First Advisor

Dr. Will Gervais

Abstract

The measurement of religious belief has some social desirability concerns that make the development of an implicit measure of religiosity advantageous. Currently, there are few options for implicitly measuring religious belief. This study attempted to add to this literature by analyzing the automatic judgements of religious belief through the use of an implicit measure known as the MouseTrack task, allowing for the measurement of latency in the expression of these beliefs as well as the certainty of these beliefs by tracking the path taken during the decision process. A sample of 121 undergraduates was recruited from the UK SONA subject pool. Desired religious variance was not achieved in the sample, making interpretation of results difficult. Detailed breakdowns of these path analyses are given. Key trends in findings are discussed.

Digital Object Identifier (DOI)

https://doi.org/10.13023/etd.2019.237

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