Personality dimensions and versions of "spirituality"

This chapter presents results about personality and self-identified “spirituality” from the Bielefeld-based Cross-cultural Study of “Spirituality.” The data yield insights in commonalities and differences not only between the USA and Germany, but between emerging new forms of religion and between di...

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Bibliographic Details
Authors: Streib, Heinz 1951- (Author) ; Klein, Constantin 1977- (Author) ; Hood, Ralph W., Jr. 1942- (Author)
Format: Electronic Article
Language:English
Check availability: HBZ Gateway
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Published: Springer 2016
In: Semantics and psychology of spirituality
Year: 2016, Pages: 189-203
Online Access: Volltext (lizenzpflichtig)

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520 |a This chapter presents results about personality and self-identified “spirituality” from the Bielefeld-based Cross-cultural Study of “Spirituality.” The data yield insights in commonalities and differences not only between the USA and Germany, but between emerging new forms of religion and between different versions of “spirituality,” such as the “spirituality” opposed to religion, or the “spirituality” of self-identified “atheist s” and “non-theists.” How are such different versions of “spirituality” reflected in the personality of our respondents? This is the question this chapter deals with on the basis of the results with the NEO-Five Factor Inventory (NEO-FFI). Results indicate that, compared to the normative values for the USA and Germany, the “more spiritual than religious,” but also the “neither religious nor spiritual” respondents in both countries score considerably higher on openness to experience . Further, there is little evidence in our data that self-identified “spirituality” could be explained by openness to experience or other personality factors. Finally, as Analyses of Variance of the Big Five personality dimensions in the “spiritual”/“religious”/“atheist ” self-identifying groups (our focus groups ) demonstrate, openness to experience is especially suitable for mapping the varieties of “spirituality” in our data. 
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