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Q1 |
Q2 |
Q3 |
Q4 |
Q5 |
Q6 |
Q7 |
Q8 |
Q9 |
Q10 |
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N |
Valid |
14 |
14 |
13 |
14 |
14 |
13 |
14 |
14 |
13 |
14 |
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Missing |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
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Mean |
4.79 |
4.79 |
4.77 |
4.86 |
4.57 |
4.85 |
4.64 |
4.79 |
4.69 |
4.79 |
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Std. Deviation |
.579 |
.579 |
.599 |
.535 |
.756 |
.376 |
.745 |
.579 |
.630 |
.579 |
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a INST = , SECTION =
This table reports question means, standard deviations, and the number of valid versus missing responses per question. These were previously found on the left-hand side of the older faculty evaluation output.
Second, we have a sample specific question table:
Q1(a)
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Frequency |
Percent |
Valid Percent |
Cumulative Percent |
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Valid |
3 |
1 |
7.1 |
7.1 |
7.1 |
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4 |
1 |
7.1 |
7.1 |
14.3 |
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5 |
12 |
85.7 |
85.7 |
100.0 |
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Total |
14 |
100.0 |
100.0 |
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a INST = , SECTION =
In this table, we see both the frequency and percent scores by valid response category for question 1(a). Not only does this SPSS format report the information found in the older tables but also reports valid percents (useful if you have a lot of missing data) and cumulative percents, a bit of information that can serve as a primitive trend or cluster indicator.
In conclusion, all of us in Academic Computing Services hope that you will find the new faculty evaluations to be both a robust replacement for the old faculty evaluations and a good foundation to begin any customization your department might desire on this new platform.