Abstract
Menstrual synchrony has been measured by a change over time, to capture the "process" of synchronization or by examining a sample of women who have been together for a number of months ("state" synchrony). We have proposed and used a method for calculating "state" synchrony. On the basis of the results of a computer simulation, Schank (Schank, J.C., 2000. Menstrual-cycle variability and measurement: further cause for doubt. Psychoneuroendocrinology 25, 837-847) argues that our method is biased towards finding synchrony and that the degree of error is an increasing function of cycle variability. We show that Schank's model is based on unfounded assumptions. Contrary to Schank's assertion, on which much of the critique is based, there is no evidence that cycle variability is actually large in samples with "state" synchrony. Our reports are valid; and our method is supported both by convergent validity and by the use of statistical "random control" groups.
| Original language | English |
|---|---|
| Pages (from-to) | 519-526 |
| Number of pages | 8 |
| Journal | Psychoneuroendocrinology |
| Volume | 27 |
| Issue number | 4 |
| DOIs | |
| State | Published - May 2002 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Biological rhythms
- Menstrual cycle length
- Menstrual synchrony
- Methodology
Fingerprint
Dive into the research topics of 'Menstrual synchrony and cycle variability: A reply to Schank (2000)'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver