(where "charts have X" I mean "charts show statistically significant deviations from control scores of X".) More things can be read, though. SK charts have unfavorable aspects to Neptune SK charts have unfavorable aspects to the Moon Puke.īasically the author looked for statistically significant confirmation of a number of hypotheses: Not that it matters since some of the p-values for those are close to. Maybe I'm missing something, but it seems to me that the data can't be rank-ordered, so using ordinal stats on nominal variables is just. ![]() which you can't flipping do with nominal data. I have no idea what the heck Glass' delta is, and some of the histograms say they're generated using gamma. ![]() Throw your killers into SPSS along with a general random population sample (the way the non-killers were selected seems needlessly complicated)- mutable/hotdog-lover/non-killer, mutable/bun-lover/killer, etc. Just looking at the charts, the most painfully obvious correlation is between country and serial killing (USA! USA!), but what really confuses me are the statistics being utilized- and why. ![]() 05, the results could only be generalized to men. So, even with an effect size of at least. That said, the author admits to excluding female serial killers "for reasons of homogeneity" while allowing that there are many different motivations for each killer (visionary, missionary, power and control seeking, and gain-motivated). The p-values are generally pretty good, so the correlation is solid enough to overcome the small sample size.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |