Finds the critical sample size ("critical point of stability") for a correlation to stabilize in Schoenbrodt and Perugini's definition of sequential stability (see <doi:10.1016/j.jrp.2013.05.009>).
In most cases you will just need the function
which will you give you the critical point of stability for your specific
parameters. If you are interested in more complicated analysis you might want
to look at the function
simulate_pos, which is a C++
functions to calculate correlations and return points of stability.
Maintainer: Johannes Titz firstname.lastname@example.org [copyright holder]
Schönbrodt, F. D. & Perugini, M. (2013). At what sample size do correlations stabilize? Journal of Research in Personality, 47, 609-612. https://doi.org/10.1016/j.jrp.2013.05.009
Schönbrodt, F. D. & Perugini, M. (2018) Corrigendum to “At what sample size do correlations stabilize?” [J. Res. Pers. 47 (2013) 609–612. https://doi.org/10.1016/j.jrp.2013.05.009]. Journal of Research in Personality, 74, 194. https://doi.org/10.1016/j.jrp.2018.02.010
Report bugs at https://github.com/johannes-titz/fastpos/issues
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