if cross-correlation is the proper statistic in this article or no matter whether I must use A few other style of product?
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The calculation will yield a plot that exhibits if there is a causality involving the two inputs, X and Y, and at what lags it is significant.
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Physiology was calculated fifteen times for every next, the Visible element was calculated 1 time per second. I believe that I must use a cross-correlation and I discovered a functionality for it in SPSS (I'm only capable to work with SPSS And that i don't have any qualifications in mathematics). As I am complete starter in time-sequence Examination, I would like to know:
Hope that can help. I am worried I do not do the job in SPSS so I can't help you there (I function in R myself). If you could find a way to in shape ARMA designs in SPSS and have the residuals, try to be able to utilize the cross-correlation functionality about the residuals for the statistic.
$begingroup$ I executed a research with 90 individuals who were being subjected to a film stimuli for 60 minutes and their physiological responses have been calculated consistently. I would like to exam the causal romantic relationship in between this psychological reaction and also a another continously measured visual function in the stimuli.
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