Posted by
Maguin, Eugene on
URL: http://spssx-discussion.165.s1.nabble.com/How-to-enter-cross-sectional-time-series-data-into-SPSS-for-correlation-tp5726681p5726971.html
I certainly may be wrong but I don't understand the analysis to have anything to do with cross correlation or cross lag--even though I said correlation earlier. I remember that question to be whether article within topics appearing on outlet A in the morning subsequently appeared on outlet B in the evening. As I remember it, there was never the question of the relationship between outlet B evening and outlet A the next morning. Maybe that was to be understood but not stated. And, if the interest really is how I stated it above, then the summary number is a percentage/proportion: 68% of topic 1 articles appearing on outlet A in the morning subsequently appeared on outlet B in the evening of the same day.
Gene Maguin
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of David Greenberg
Sent: Thursday, August 14, 2014 4:23 PM
To:
[hidden email]
Subject: Re: How to enter cross-sectional time-series data into SPSS for correlation
The comparison of cross-lagged correlations to assess the relative strength of causal influence from X to Y and Y to X was proposed some decades ago by Campbell and Kenny. It was soon discredited by critiques raised by various authors. A chapter of LINEAR PANEL
ANALYSIS: MODELS OF QUANTITATIVE CHANGE by Ronald Kessler and me (Academic Press, out of print) is devoted to this issue. David F.
Greenberg, Sociology Department, New York University
On Thu, Aug 14, 2014 at 9:33 AM, dave <
[hidden email]> wrote:
> Thanks for your reply, Andy. Just don't abandon me, guys!
>
> What you are saying actually was my initial question: How should I
> enter my data if the goal is to do a cross-correlation between two
> time series? Its exactly the problem that I do not know how the data
> file should look in the end.
>
> I got some feedback here re my initial question and entered T1 for
> Outlet1 and T2 for Outlet2 respectively to these suggestions. I didn't
> proceed with coding the other Ts yet (I ll have 14, two per day for
> seven days, in the
> end) because I wanted to have the structure fixed first in order to
> avoid restructuring afterwards. But probably the lack of time points
> is the reason for the vars being constant?
>
> Maybe a citation of someone who did what I need to do but is speaking
> about it only in general terms could help (its a bit long one but it
> is very
> clear):
>
> "Cross-correlation is a measure between two variables separated by the
> appropriate amount of time lag for variable 1, which is believed to
> have an effect on variable 2, the proposed effect. This model produces
> two pairs of three different sets of correlations totaling six
> correlations. The first set is the synchronous correlation, the
> correlation between variable 1, cause, and variable 2,effect, measured
> at concurrent times (PX1Y1 and PX2Y2). The second set of correlations
> is the autocorrelation which is the correlation between the same
> variable at two different times (PX1X2 and Y1Y2). The third set is the
> cross-lagged correlation and is the correlation between variable 1 and
> variable 2 at different times (PX1Y2 and PY1X2). The logic behind
> using this model in its origin is that if the model has been built
> with the correct cause and effect identified then the correlation
> between variable 1, cause, and variable 2,effect, over time (PX1Y2)
> should be greater than the correlation between variable 2, effect, and
> variable 1, cause, over time (PY1X2). The two relationships of
> interest to scholars then are the cross-correlations as they indicate the level of influence between variable 1 and variable 2."
>
> This may be a bit complicated to read, so you may also have look at
> this
> visualizing: Unbenannt.png
> <
http://spssx-discussion.1045642.n5.nabble.com/file/n5726960/Unbenannt> .png>
>
> Does this clarify my burden?
>
>
>
> --
> View this message in context:
>
http://spssx-discussion.1045642.n5.nabble.com/How-to-enter-cross-secti> onal-time-series-data-into-SPSS-for-correlation-tp5726681p5726960.html
> Sent from the SPSSX Discussion mailing list archive at Nabble.com.
>
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