Posted by
Maguin, Eugene on
Mar 05, 2018; 2:24pm
URL: http://spssx-discussion.165.s1.nabble.com/2-Variables-7-cases-10-observations-Simple-tp5735614p5735621.html
Maybe I missed this in your description but what are we looking at? I understand 7 persons observed 10 times and anxiety (AN) and hyperactivity (HA) observed at each time point. How did person St1 at T1 get a score of 11 and 7? A multi-item checklist? You mention 'within 30 seconds'. Does this mean that people were observed at 30 second intervals?
I agree with Art about coarsening data. You don't have much data to begin with and you're giving information away by dichotomizing. (Little rant: Unless these 7 people are extraordinarily rare or special, your committee did you a disservice by signing off on an N of 7 people.)
The basic question: Are you wanting to know if (a) the within time point correlation between AN and HA is positive or (b) are you wanting to know if the correlation between AN at t(i) and HA at t(i+1) is positive?
Question 2: This question reads like you want to treat AN and HA as absent (AN=0; HA=0) or present (AN>0; HA>0)? Is this true?
Gene Maguin
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Sent: Sunday, March 4, 2018 12:46 PM
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Subject: 2 Variables, 7 cases, 10 observations -- Simple?
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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