ScholarGate
Asisten
Process / pipelineCognitive science of religion / anthropology of ritual

Ritual Density Coding

Ritual density coding is a method for analyzing religious rituals by coding them on two key dimensions - how often they are performed (frequency) and how emotionally intense or dysphoric they are (arousal) - in order to locate a tradition along Harvey Whitehouse's imagistic-doctrinal continuum. In his 2004 book Modes of Religiosity, Whitehouse argued that rituals tend to cluster at two attractor poles: high-frequency, low-arousal 'doctrinal' practices that build large, hierarchically organized, semantically rich traditions, and rare but emotionally searing 'imagistic' practices that forge small, intensely cohesive communities through vivid episodic memories. The coding scheme operationalizes this theory, testing the predicted inverse relationship between ritual frequency and arousal and linking the resulting modes to distinctive forms of social organization and memory.

Buka di MethodMindSegeraTerapkan, bandingkan, dapatkan panduan
Alat & sumber daya
Unduh salindia
Belajar & jelajahi
VideoSegera

Baca metode selengkapnya

Khusus anggota

Masuk dengan akun gratis untuk membaca bagian ini.

Masuk

Peta metode

Lingkup metode terkait — pilih sebuah simpul untuk menjelajah.

Sumber

  1. Whitehouse, H. (2004). Modes of Religiosity: A Cognitive Theory of Religious Transmission. Walnut Creek, CA: AltaMira Press. ISBN: 9780759106147

Cara menyitasi halaman ini

ScholarGate. (2026, June 23). Ritual Frequency-Arousal Coding (Modes of Religiosity). ScholarGate. https://scholargate.app/id/religious-studies/ritual-density-coding

Metode yang mana?

Letakkan metode ini berdampingan dengan kerabat terdekatnya dan baca secara bersisian — pustaka menata bukunya di atas meja; pilihan ada di tangan Anda.

Bandingkan berdampingan

Dirujuk oleh

ScholarGateRitual Density Coding (Ritual Frequency-Arousal Coding (Modes of Religiosity)). Diakses 2026-06-24 dari https://scholargate.app/id/religious-studies/ritual-density-coding · Set data: https://doi.org/10.5281/zenodo.20539026