e-space
Manchester Metropolitan University's Research Repository

Quantifying the Phenomenology of Ghostly Episodes: Part II - A Rasch Model of Spontaneous Accounts

Houran, James, Lange, Rense, Laythe, Brian, Dagnall, Neil ORCID logoORCID: https://orcid.org/0000-0003-0657-7604, Drinkwater, Ken ORCID logoORCID: https://orcid.org/0000-0002-4015-0578 and O'Keeffe, Ciaran (2019) Quantifying the Phenomenology of Ghostly Episodes: Part II - A Rasch Model of Spontaneous Accounts. Journal of Parapsychology, 83 (2). pp. 168-192. ISSN 0022-3387

[img] Accepted Version
Restricted to Repository staff only

Download (704kB)

Abstract

Using a sample of self-reported “spontaneous” accounts (ostensibly sincere and unprimed, N = 426), we calibrated a 32-item, Rasch-based “Survey of Strange Events (SSE)” to quantify the phenomenology of ghostly episodes while assessing response biases related to experients’ age and gender. This inventory included psychological experiences typical of haunts, and physical manifestations common to poltergeist-like disturbances. Results supported earlier suggestions that “spontaneous” accounts have a predictable (cumulative) behavioral pattern and show a unidimensional factor structure. Further, compared to spontaneous accounts, we identified strong response biases on the SSE across four control conditions (i.e., Lifestyle, Primed, Fantasy, and Illicit). Statistical modeling successfully predicted group memberships with good accuracy, corroborating that spontaneous experiences differ systematically in certain ways from “impostors.” The SSE is a robust measure of overall intensity of ghostly episodes (Rasch reliability = 0.87) and serves as a standard operationalization of specific anomalies in surveys, fieldwork studies, and investigations that code free-response data or spontaneous case material for quantitative analysis.

Impact and Reach

Statistics

Activity Overview
6 month trend
3Downloads
6 month trend
119Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Actions (login required)

View Item View Item