Date Available
5-23-2019
Year of Publication
2019
Document Type
Doctoral Dissertation
Degree Name
Doctor of Philosophy (PhD)
College
Arts and Sciences
Department/School/Program
Psychology
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
Recommended Citation
Najle, Maxine Belén, "ANALYSIS OF AUTOMATIC JUDGMENTS OF RELIGIOUS BELIEF" (2019). Theses and Dissertations--Psychology. 161.
https://uknowledge.uky.edu/psychology_etds/161
