Re: 2 Variables, 7 cases, 10 observations -- Simple?

Posted by Mike on Mar 05, 2018; 2:06am
URL: http://spssx-discussion.165.s1.nabble.com/2-Variables-7-cases-10-observations-Simple-tp5735614p5735615.html

Which data layout you choose to use will depend upon the hypotheses

you want to test.  That being said, there is an obvious problem with the

second layout.  I suggest you take a look at the following article in order

to understand the trip you have begun.  Remember to follow the

yellow brick road.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3396026/#R2

-Mike Palij

New York University

[hidden email]

On Sun, Mar 4, 2018 at 12:46 PM, PsyDStats <[hidden email]> wrote:

Good morning,

My dissertation has a data set that I believe is reasonably straightforward.
My hypotheses also seem basic. For the life of me, I can't figure it out in
SPSS.

I have 7 students. They were observed 10 times each T1...T2...etc. They were
observed for two variables: IV Anxiety, DV Hyperactivity. Basic question: as
anxiety increases, does hyperactivity increase. The obvious: I am trying to
group students into high and low anxiety and high and low hyperactivity. The
second question: does hyperactivity appear to follow from anxiety (if
hyperactivity was observed within 30 seconds of anxiety behavior = anxiety
led to hyperactivity in that instance). Forgetting the obvious theoretical
questions, Here is a sample of the data in the configuration I believe
should be in SPSS to get the comparisons I need.

               Anx      Hyp
St1_T1  11      7
St1_T2  9       11
St1_T3  11      12
St1_T4  0       0
St1_T5  0       0
St1_T6  0       0
St1_T7  0       0
St1_T8  0       0
St1_T9  0       0
St1_T10 0       0
St2_T1  16      7
St2_T2  32      21
St2_T3  33      10
St2_T4  30      13
St2_T5  25      13
St2_T6  36      25
St2_T7  0       0
St2_T8  0       0
St2_T9  0       0
St2_T10 0       0
St3_T1  31      10
St3_T2  25      17
St3_T3  31      14
St3_T4  21      25
St3_T5  28      19
St3_T6  21      15
St3_T7  0       0
St3_T8  0       0
St3_T9  0       0
St3_T10 0       0
St4_T1  25      22
St4_T2  25      25
St4_T3  30      37
St4_T4  25      32
St4_T5  29      27
St4_T6  35      35
St4_T7  21      28
St4_T8  27      26
St4_T9  17      16
St4_T10 17      15
...etc

The other way to orient the data, it seems to me, is:

                T1      T2      T3      T4      T5      T6      T7      T8      T9      T10
St_1_Anx        11      9       11      0       0       0       0       0       0       0
St_2_Anx        16      32      33      30      25      36      0       0       0       0
St_3_Anx        31      25      31      21      28      21      0       0       0       0
St_4_Anx        25      25      30      25      29      35      21      27      17      17
St_5_Anx        23      23      31      27      19      19      16      19      13      15
St_6_Anx        34      51      53      53      42      52      43      32      46      9
St_7_Anx        29      31      31      36      0       0       0       0       0       0

               T1       T2      T3      T4      T5      T6      T7      T8      T9      T10
St_1_Hyp        7       11      12      0       0       0       0       0       0       0
St_2_Hyp        7       21      10      13      13      25      0       0       0       0
St_3_Hyp        10      17      14      25      19      15      0       0       0       0
St_4_Hyp        22      25      37      32      27      35      28      26      16      15
St_5_Hyp        1       10      30      17      19      35      26      30      39      16
St_6_Hyp        16      32      19      33      22      51      40      21      23
St_7_Hyp        34      30      23      35      0       0       0       0       0       0


My questions: Which data orientation is correct, and which process should I
run in order to group the students in high/low anx and high/low hyp?

I'm grateful for any suggestions that might be offered.



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