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Author*The author of this computation has been verified*
R Software Modulerwasp_cronbach.wasp
Title produced by softwareCronbach Alpha
Date of computationTue, 09 Dec 2014 13:51:02 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/09/t1418137306wdiwn0z9j2c5y18.htm/, Retrieved Tue, 28 May 2024 01:49:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264679, Retrieved Tue, 28 May 2024 01:49:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact58
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Cronbach Alpha] [cronbach paper] [2014-12-09 13:51:02] [bb0aed7161c0ff58fa3546abfe008fc8] [Current]
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Dataseries X:
26 50 11 8 7 18 12 20 9 5 4 2 0 1
51 68 15 18 18 23 20 25 9 6 6 2 1 2
57 62 19 18 20 23 20 19 8 5 5 1 1 2
37 54 16 12 9 22 14 18 8 4 6 2 0 2
67 71 24 24 19 22 25 24 8 5 5 0 0 0
43 54 15 16 12 19 15 20 8 7 4 0 2 2
52 65 17 19 16 25 20 20 7 3 0 0 1 1
52 73 19 16 17 28 21 24 8 4 5 2 1 0
43 52 19 15 9 16 15 21 9 4 3 2 2 2
84 84 28 28 28 28 28 28 8 7 5 0 1 0
67 42 26 21 20 21 11 10 7 6 2 2 1 1
49 66 15 18 16 22 22 22 9 6 3 3 0 1
70 65 26 22 22 24 22 19 7 2 4 0 1 1
52 78 16 19 17 24 27 27 8 4 6 0 1 1
58 73 24 22 12 26 24 23 8 4 3 2 0 2
68 75 25 25 18 28 23 24 8 5 4 1 0 0
62 72 22 20 20 24 24 24 8 3 1 2 0 1
43 66 15 16 12 20 21 25 8 4 5 1 1 1
56 70 21 19 16 26 20 24 6 7 4 1 1 2
56 61 22 18 16 21 19 21 9 5 4 1 0 2
74 81 27 26 21 28 25 28 7 2 4 0 0 2
65 71 26 24 15 27 16 28 7 3 3 2 0 1
63 69 26 20 17 23 24 22 8 6 6 1 0 2
58 71 22 19 17 24 21 26 7 6 5 1 0 2
57 72 21 19 17 24 22 26 8 2 5 1 0 2
63 68 22 23 18 22 25 21 8 7 6 2 2 0
53 70 20 18 15 21 23 26 3 2 4 0 0 0
57 68 21 16 20 25 20 23 9 10 6 1 2 2
51 61 20 18 13 20 21 20 8 4 5 2 0 1
64 67 22 21 21 21 22 24 8 4 6 3 0 2
53 76 21 20 12 26 25 25 6 2 5 2 0 1
29 70 8 15 6 23 23 24 5 4 4 1 0 2
54 60 22 19 13 21 19 20 8 4 4 0 1 2
51 77 18 27 6 27 27 23 8 6 6 2 1 2
58 72 20 19 19 27 21 24 8 7 6 2 1 1
43 69 24 7 12 25 19 25 9 2 4 2 0 1
51 71 17 20 14 23 25 23 7 6 6 3 0 1
53 62 20 20 13 25 16 21 7 3 6 3 1 1
54 70 23 19 12 23 24 23 3 3 3 1 0 0
56 64 20 19 17 19 24 21 7 2 4 0 1 0
61 58 22 20 19 22 18 18 8 5 5 2 1 1
47 76 19 18 10 24 28 24 8 7 6 2 1 2
39 52 15 14 10 19 15 18 7 6 6 2 1 1
48 59 20 17 11 21 17 21 8 4 6 2 1 2
50 68 22 17 11 27 18 23 8 6 6 1 1 2
35 76 17 8 10 25 26 25 9 4 6 3 0 2
30 65 14 9 7 25 18 22 6 3 5 2 0 2
68 67 24 22 22 23 22 22 9 5 5 2 1 1
49 59 17 20 12 17 19 23 8 2 3 0 0 2
61 69 23 20 18 28 17 24 8 3 5 0 1 2
67 76 25 22 20 25 26 25 8 5 1 0 0 2
47 63 16 22 9 20 21 22 7 7 5 3 1 2
56 75 18 22 16 25 26 24 8 4 6 2 2 1
50 63 20 16 14 21 21 21 7 3 6 0 0 1
43 60 18 14 11 24 12 24 7 2 4 2 2 2
67 73 23 24 20 28 20 25 9 5 6 0 0 1
62 63 24 21 17 20 20 23 7 4 6 0 1 0
57 70 23 20 14 19 24 27 9 6 6 2 2 2
41 75 13 20 8 24 24 27 7 4 5 3 0 2
54 66 20 18 16 21 22 23 6 4 2 0 0 1
45 63 20 14 11 24 21 18 3 2 2 1 0 0
48 63 19 19 10 23 20 20 9 9 6 2 1 2
61 64 22 24 15 18 23 23 9 8 6 2 2 1
56 70 22 19 15 27 19 24 7 8 5 0 1 2
41 75 15 16 10 25 24 26 6 3 6 3 1 2
43 61 17 16 10 20 21 20 9 2 5 2 0 1
53 60 19 16 18 21 16 23 8 4 4 0 1 2
44 62 20 14 10 23 17 22 8 2 5 3 0 2
66 73 22 22 22 27 23 23 7 2 4 2 1 2
58 61 21 21 16 24 20 17 9 1 5 2 0 2
46 66 21 15 10 27 19 20 5 4 4 3 1 0
37 64 16 14 7 24 18 22 6 5 6 0 1 1
51 59 20 15 16 23 18 18 8 8 5 1 1 2
51 64 21 14 16 24 21 19 8 4 4 2 0 1
56 60 20 20 16 21 20 19 8 6 5 1 1 1
66 56 23 21 22 23 17 16 8 5 5 2 1 2
45 66 15 17 13 22 20 24 9 6 6 2 1 2
37 78 18 14 5 27 25 26 7 3 4 0 0 0
59 53 22 19 18 24 15 14 8 8 6 3 1 2
42 67 16 16 10 25 17 25 9 4 2 0 1 0
38 59 17 13 8 19 17 23 9 6 5 2 1 1
66 66 24 26 16 24 24 18 8 4 6 1 0 1
34 68 13 13 8 25 21 22 4 3 5 0 0 0
53 71 19 18 16 23 22 26 7 8 5 0 2 2
49 66 20 15 14 23 18 25 8 6 3 1 2 2
55 73 22 18 15 25 22 26 6 3 3 0 0 0
49 72 19 21 9 26 20 26 7 5 5 2 1 2
59 71 21 17 21 26 21 24 7 4 6 1 0 2
40 59 15 18 7 16 21 22 3 3 2 2 0 0
58 64 21 20 17 23 20 21 8 7 6 1 0 1
60 66 24 18 18 26 18 22 8 2 4 1 1 1
63 78 22 25 16 25 25 28 8 4 5 3 0 2
56 68 20 20 16 23 23 22 8 6 6 2 1 1
54 73 21 19 14 26 21 26 5 6 5 0 0 2
52 62 19 18 15 22 20 20 6 6 5 2 1 1
34 65 14 12 8 20 21 24 6 4 6 1 1 2
69 68 25 22 22 27 20 21 7 6 5 0 0 2
32 65 11 16 5 20 22 23 7 5 6 1 1 2
48 60 17 18 13 22 15 23 7 5 5 0 0 2
67 71 22 23 22 24 24 23 8 6 4 0 0 2
58 65 20 20 18 21 22 22 9 8 5 1 1 2
57 68 22 20 15 24 21 23 8 5 5 2 2 1
42 64 15 16 11 26 17 21 8 6 5 2 1 2
64 74 23 22 19 24 23 27 7 4 5 2 1 2
58 69 20 19 19 24 22 23 9 3 4 2 1 2
66 76 22 23 21 27 23 26 7 3 5 3 0 1
26 68 16 6 4 25 16 27 6 2 0 0 0 0
61 72 25 19 17 27 18 27 7 4 5 0 0 1
52 67 18 24 10 19 25 23 8 5 6 0 0 1
51 63 19 19 13 22 18 23 6 3 1 0 1 0
55 59 25 15 15 22 14 23 2 4 1 0 1 0
50 73 21 18 11 25 20 28 4 5 3 3 0 0
60 66 22 18 20 23 19 24 8 3 3 2 0 2
56 62 21 22 13 24 18 20 6 5 6 0 0 1
63 69 22 23 18 24 22 23 8 4 4 2 0 1
61 66 23 18 20 23 21 22 6 4 5 2 0 2
52 51 20 17 15 22 14 15 7 6 6 0 2 2
16 56 6 6 4 24 5 27 7 3 6 2 2 2
46 67 15 22 9 19 25 23 7 4 6 1 2 1
56 69 18 20 18 25 21 23 9 3 6 3 2 2
52 57 24 16 12 26 11 20 7 10 6 3 2 2
55 56 22 16 17 18 20 18 6 4 6 0 0 1
50 55 21 17 12 24 9 22 8 8 5 3 1 2
59 63 23 20 16 28 15 20 8 3 6 2 2 2
60 67 20 23 17 23 23 21 9 5 5 2 0 2
52 65 20 18 14 19 21 25 7 4 6 0 0 1
44 47 18 13 13 19 9 19 6 3 5 2 0 2
67 76 25 22 20 27 24 25 8 5 5 3 0 2
52 64 16 20 16 24 16 24 6 3 6 2 0 2
55 68 20 20 15 26 20 22 6 3 4 0 0 2
37 64 14 13 10 21 15 28 9 4 5 0 0 2
54 65 22 16 16 25 18 22 6 3 6 0 0 1
72 71 26 25 21 28 22 21 9 6 6 1 1 1
51 63 20 16 15 19 21 23 8 6 5 2 2 2
48 60 17 15 16 20 21 19 8 4 6 3 2 2
60 68 22 19 19 26 21 21 9 4 6 0 0 0
50 72 22 19 9 27 20 25 6 4 6 2 0 1
63 70 20 24 19 23 24 23 4 3 4 2 1 2
33 61 17 9 7 18 15 28 8 2 6 1 2 0
67 61 22 22 23 23 24 14 5 5 5 2 0 2
46 62 17 15 14 21 18 23 7 4 6 2 2 2
54 71 22 22 10 23 24 24 9 4 6 2 0 0
59 71 21 22 16 22 24 25 9 4 5 2 0 2
61 51 25 24 12 21 15 15 8 3 4 2 1 1
33 56 11 12 10 14 19 23 6 4 5 2 2 1
47 70 19 21 7 24 20 26 8 2 6 1 1 2
69 73 24 25 20 26 26 21 3 0 0 0 0 0
52 76 17 26 9 24 26 26 8 4 6 2 1 2
55 59 22 19 14 26 18 15 7 3 4 0 0 0
55 68 22 21 12 22 23 23 7 6 6 0 2 2
41 48 17 14 10 20 13 15 9 4 4 2 0 1
73 52 26 28 19 20 16 16 4 4 6 0 0 1
51 59 19 16 16 20 19 20 7 2 4 0 0 0
52 60 20 21 11 18 22 20 6 4 5 0 1 0
50 59 19 16 15 18 21 20 3 2 1 0 1 0
51 57 21 16 14 25 11 21 8 4 5 3 2 2
60 79 24 25 11 28 23 28 8 3 5 0 0 1
56 60 21 21 14 23 18 19 9 6 5 2 2 0
56 60 19 22 15 20 19 21 8 6 5 3 0 2
29 59 13 9 7 22 15 22 8 4 5 0 0 2
66 62 24 20 22 27 8 27 9 5 6 2 2 1
66 59 28 19 19 24 15 20 8 4 5 0 1 2
73 61 27 24 22 23 21 17 9 6 6 3 2 2
55 71 22 22 11 20 25 26 7 6 5 2 1 2
64 57 23 22 19 22 14 21 7 9 6 2 1 2
40 66 19 12 9 21 21 24 6 4 5 2 1 0
46 63 18 17 11 24 18 21 8 8 6 3 1 2
58 69 23 18 17 26 18 25 6 5 5 3 0 2
43 58 21 10 12 24 12 22 7 4 5 3 0 0
61 59 22 22 17 18 24 17 8 4 6 2 2 1
51 48 17 24 10 17 17 14 8 7 6 3 2 1
50 66 15 18 17 23 20 23 7 4 6 1 2 2
52 73 21 18 13 21 24 28 9 8 6 2 1 2
54 67 20 23 11 21 22 24 9 4 6 3 2 1
66 61 26 21 19 24 15 22 9 3 6 2 0 1
61 68 19 21 21 22 22 24 6 5 6 2 1 2
80 75 28 28 24 24 26 25 8 8 6 2 2 2
51 62 21 17 13 24 17 21 9 4 5 1 0 1
56 69 19 21 16 24 23 22 9 10 6 3 1 0
56 58 22 21 13 23 19 16 8 5 6 2 2 2
56 60 21 20 15 21 21 18 8 5 6 2 2 2
53 74 20 18 15 24 23 27 8 3 6 1 0 2
47 55 19 17 11 19 19 17 8 3 5 1 1 2
25 62 11 7 7 19 18 25 8 3 3 0 0 2
47 63 17 17 13 23 16 24 9 4 4 1 1 1
46 69 19 14 13 25 23 21 6 5 6 1 0 2
50 58 20 18 12 24 13 21 9 5 4 2 1 2
39 58 17 14 8 21 18 19 8 4 6 0 0 0
51 68 21 23 7 18 23 27 8 7 6 3 1 0
58 72 21 20 17 23 21 28 8 5 3 1 0 1
35 62 12 14 9 20 23 19 8 4 4 1 2 0
58 62 23 17 18 23 16 23 9 7 4 3 0 2
60 65 22 21 17 23 17 25 9 7 4 3 0 2
62 69 22 23 17 23 20 26 9 7 4 3 0 2
63 66 21 24 18 23 18 25 8 7 4 3 0 2
53 72 20 21 12 27 20 25 8 7 4 0 0 0
46 62 18 14 14 19 19 24 8 7 6 2 1 2
67 75 21 24 22 25 26 24 3 1 4 1 1 0
59 58 24 16 19 25 9 24 6 2 4 2 1 2
64 66 22 21 21 21 23 22 5 3 2 1 0 2
38 55 20 8 10 25 9 21 4 6 5 1 0 1
50 47 17 17 16 17 13 17 9 8 6 3 2 2
48 72 19 18 11 22 27 23 8 8 6 1 1 1
48 62 16 17 15 23 22 17 3 0 1 0 0 0
47 64 19 16 12 27 12 25 6 3 4 1 0 2
66 64 23 22 21 27 18 19 6 6 5 1 1 2
47 19 8 17 22 5 6 8 9 5 5 2 0 2
63 50 22 21 20 19 17 14 7 7 6 1 0 1
58 68 23 20 15 24 22 22 6 3 5 0 1 2
44 70 15 20 9 23 22 25 9 3 6 2 0 0
51 79 17 19 15 28 23 28 7 4 6 2 0 1
43 69 21 8 14 25 19 25 8 4 5 3 0 2
55 71 25 19 11 27 20 24 8 1 5 0 0 2
38 48 18 11 9 16 17 15 8 5 6 2 0 2
56 66 23 15 18 23 18 25 7 3 4 1 0 1
45 73 20 13 12 25 24 24 0 0 0 0 0 0
50 74 21 18 11 26 20 28 6 4 6 1 1 0
54 66 21 19 14 24 18 24 9 6 5 2 2 1
57 71 24 23 10 23 23 25 9 4 6 1 1 2
60 74 22 20 18 24 27 23 6 1 2 0 1 2
55 78 22 22 11 27 25 26 8 3 5 0 0 2
56 75 23 19 14 25 24 26 8 7 5 2 0 2
49 53 17 16 16 19 12 22 5 3 1 0 0 2
37 60 15 11 11 19 16 25 6 5 5 1 1 0
43 50 24 11 8 14 16 20 6 3 4 1 0 0
59 70 22 21 16 24 24 22 9 3 5 2 2 2
46 69 19 14 13 20 23 26 9 6 4 2 1 2
51 65 18 21 12 21 24 20 9 9 6 3 0 2
58 78 21 20 17 28 24 26 6 4 5 0 1 2
64 78 20 21 23 26 26 26 4 3 6 0 1 1
53 59 19 20 14 19 19 21 8 9 6 2 2 2
48 72 19 19 10 23 28 21 4 5 6 0 1 0
51 70 16 19 16 23 23 24 5 3 6 3 1 1
47 63 18 18 11 21 21 21 8 6 5 2 0 1
59 63 23 20 16 26 19 18 6 2 6 1 0 1
62 71 22 21 19 25 23 23 8 4 5 3 1 2
62 74 23 22 17 25 23 26 9 5 5 2 1 1
51 67 20 19 12 24 20 23 7 4 5 2 0 1
64 66 24 23 17 23 18 25 4 0 0 0 0 0
52 62 25 16 11 22 20 20 8 2 6 1 1 2
67 80 25 23 19 27 28 25 8 5 6 2 1 2
50 73 20 18 12 26 21 26 8 3 6 2 0 1
54 67 23 23 8 23 25 19 4 0 0 0 0 0
58 61 21 20 17 22 18 21 9 5 5 3 0 2
56 73 23 20 13 26 24 23 8 6 5 1 0 2
63 74 23 23 17 22 28 24 6 3 5 0 1 1
31 32 11 13 7 17 9 6 3 0 0 0 0 0
65 69 21 21 23 25 22 22 7 3 4 0 1 0
71 69 27 26 18 22 26 21 8 5 6 2 1 2
50 84 19 18 13 28 28 28 7 4 4 0 0 2
57 64 21 19 17 22 18 24 7 5 5 2 0 1
47 58 16 18 13 21 23 14 8 7 6 3 2 1
54 60 22 19 13 21 22 17 8 4 5 3 1 2
47 59 21 18 8 24 15 20 7 8 6 2 1 2
57 78 22 19 16 26 24 28 7 6 6 1 1 2
43 57 16 13 14 26 12 19 6 4 5 1 0 1
41 60 18 10 13 24 12 24 8 5 5 1 1 0
63 68 23 21 19 27 20 21 8 5 6 0 1 2
63 68 24 24 15 22 25 21 7 3 6 1 0 2
56 73 20 21 15 23 24 26 9 6 6 0 1 2
51 69 20 23 8 22 23 24 9 3 4 2 0 1
50 67 18 18 14 23 18 26 7 6 5 3 1 1
22 60 4 11 7 15 20 25 7 3 2 1 0 2
41 65 14 16 11 20 22 23 8 7 6 2 2 2
59 66 22 20 17 22 20 24 8 7 6 3 0 2
56 74 17 20 19 25 25 24 6 6 4 3 1 2
66 81 23 26 17 27 28 26 9 5 6 1 1 0
53 72 20 21 12 24 25 23 6 5 5 1 0 1
42 55 18 12 12 21 14 20 5 4 4 0 0 2
52 49 19 15 18 17 16 16 7 4 6 1 2 2
54 74 20 18 16 26 24 24 9 7 6 3 0 2
44 53 15 14 15 20 13 20 6 2 1 0 1 0
62 64 24 18 20 22 19 23 7 5 5 2 0 1
53 65 21 16 16 24 18 23 5 4 5 2 1 0
50 57 19 19 12 23 16 18 9 2 6 2 2 2
36 51 19 7 10 22 8 21 8 5 4 2 0 0
76 80 27 21 28 28 27 25 4 4 3 0 0 2
66 67 23 24 19 21 23 23 9 7 4 3 2 2
62 70 23 21 18 24 20 26 8 6 5 2 2 0
59 74 20 20 19 28 20 26 7 4 5 0 0 0
47 75 17 22 8 25 26 24 8 5 6 2 2 2
55 70 21 17 17 24 23 23 1 0 1 0 0 0
58 69 23 19 16 24 24 21 8 7 6 2 1 2
60 65 22 20 18 21 21 23 8 4 4 2 0 2
44 55 16 16 12 20 15 20 9 5 4 3 0 2
57 71 20 20 17 26 22 23 8 6 5 2 0 1
45 65 16 16 13 16 25 24 9 8 3 2 1 1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264679&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264679&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264679&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Cronbach Alpha and Related Statistics
ItemsCronbach AlphaStd. AlphaG6(smc)Average R
All itmes0.7690.70530.88990.146
AMS.I excluded0.72990.63940.81020.12
AMS.E excluded0.73240.64680.80110.1235
AMS.I1 excluded0.73380.65940.85390.1296
AMS.I2 excluded0.72550.65230.84890.1261
AMS.I3 excluded0.73780.67070.85280.1355
AMS.E1 excluded0.74750.670.85340.1351
AMS.E2 excluded0.73860.66980.84260.135
AMS.E3 excluded0.75930.690210.1463
Calculation excluded0.77320.711810.1596
Algebraic_Reasoning excluded0.77340.713310.1607
Graphical_Interpretation excluded0.77180.70770.89510.157
Proportionality_and_Ratio excluded0.77440.739710.1794
Probability_and_Sampling excluded0.77380.7340.90960.1751
Estimation excluded0.77290.713910.161

\begin{tabular}{lllllllll}
\hline
Cronbach Alpha and Related Statistics \tabularnewline
Items & Cronbach Alpha & Std. Alpha & G6(smc) & Average R \tabularnewline
All itmes & 0.769 & 0.7053 & 0.8899 & 0.146 \tabularnewline
AMS.I excluded & 0.7299 & 0.6394 & 0.8102 & 0.12 \tabularnewline
AMS.E excluded & 0.7324 & 0.6468 & 0.8011 & 0.1235 \tabularnewline
AMS.I1 excluded & 0.7338 & 0.6594 & 0.8539 & 0.1296 \tabularnewline
AMS.I2 excluded & 0.7255 & 0.6523 & 0.8489 & 0.1261 \tabularnewline
AMS.I3 excluded & 0.7378 & 0.6707 & 0.8528 & 0.1355 \tabularnewline
AMS.E1 excluded & 0.7475 & 0.67 & 0.8534 & 0.1351 \tabularnewline
AMS.E2 excluded & 0.7386 & 0.6698 & 0.8426 & 0.135 \tabularnewline
AMS.E3 excluded & 0.7593 & 0.6902 & 1 & 0.1463 \tabularnewline
Calculation excluded & 0.7732 & 0.7118 & 1 & 0.1596 \tabularnewline
Algebraic_Reasoning excluded & 0.7734 & 0.7133 & 1 & 0.1607 \tabularnewline
Graphical_Interpretation excluded & 0.7718 & 0.7077 & 0.8951 & 0.157 \tabularnewline
Proportionality_and_Ratio excluded & 0.7744 & 0.7397 & 1 & 0.1794 \tabularnewline
Probability_and_Sampling excluded & 0.7738 & 0.734 & 0.9096 & 0.1751 \tabularnewline
Estimation excluded & 0.7729 & 0.7139 & 1 & 0.161 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264679&T=1

[TABLE]
[ROW][C]Cronbach Alpha and Related Statistics[/C][/ROW]
[ROW][C]Items[/C][C]Cronbach Alpha[/C][C]Std. Alpha[/C][C]G6(smc)[/C][C]Average R[/C][/ROW]
[ROW][C]All itmes[/C][C]0.769[/C][C]0.7053[/C][C]0.8899[/C][C]0.146[/C][/ROW]
[ROW][C]AMS.I excluded[/C][C]0.7299[/C][C]0.6394[/C][C]0.8102[/C][C]0.12[/C][/ROW]
[ROW][C]AMS.E excluded[/C][C]0.7324[/C][C]0.6468[/C][C]0.8011[/C][C]0.1235[/C][/ROW]
[ROW][C]AMS.I1 excluded[/C][C]0.7338[/C][C]0.6594[/C][C]0.8539[/C][C]0.1296[/C][/ROW]
[ROW][C]AMS.I2 excluded[/C][C]0.7255[/C][C]0.6523[/C][C]0.8489[/C][C]0.1261[/C][/ROW]
[ROW][C]AMS.I3 excluded[/C][C]0.7378[/C][C]0.6707[/C][C]0.8528[/C][C]0.1355[/C][/ROW]
[ROW][C]AMS.E1 excluded[/C][C]0.7475[/C][C]0.67[/C][C]0.8534[/C][C]0.1351[/C][/ROW]
[ROW][C]AMS.E2 excluded[/C][C]0.7386[/C][C]0.6698[/C][C]0.8426[/C][C]0.135[/C][/ROW]
[ROW][C]AMS.E3 excluded[/C][C]0.7593[/C][C]0.6902[/C][C]1[/C][C]0.1463[/C][/ROW]
[ROW][C]Calculation excluded[/C][C]0.7732[/C][C]0.7118[/C][C]1[/C][C]0.1596[/C][/ROW]
[ROW][C]Algebraic_Reasoning excluded[/C][C]0.7734[/C][C]0.7133[/C][C]1[/C][C]0.1607[/C][/ROW]
[ROW][C]Graphical_Interpretation excluded[/C][C]0.7718[/C][C]0.7077[/C][C]0.8951[/C][C]0.157[/C][/ROW]
[ROW][C]Proportionality_and_Ratio excluded[/C][C]0.7744[/C][C]0.7397[/C][C]1[/C][C]0.1794[/C][/ROW]
[ROW][C]Probability_and_Sampling excluded[/C][C]0.7738[/C][C]0.734[/C][C]0.9096[/C][C]0.1751[/C][/ROW]
[ROW][C]Estimation excluded[/C][C]0.7729[/C][C]0.7139[/C][C]1[/C][C]0.161[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264679&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264679&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Cronbach Alpha and Related Statistics
ItemsCronbach AlphaStd. AlphaG6(smc)Average R
All itmes0.7690.70530.88990.146
AMS.I excluded0.72990.63940.81020.12
AMS.E excluded0.73240.64680.80110.1235
AMS.I1 excluded0.73380.65940.85390.1296
AMS.I2 excluded0.72550.65230.84890.1261
AMS.I3 excluded0.73780.67070.85280.1355
AMS.E1 excluded0.74750.670.85340.1351
AMS.E2 excluded0.73860.66980.84260.135
AMS.E3 excluded0.75930.690210.1463
Calculation excluded0.77320.711810.1596
Algebraic_Reasoning excluded0.77340.713310.1607
Graphical_Interpretation excluded0.77180.70770.89510.157
Proportionality_and_Ratio excluded0.77440.739710.1794
Probability_and_Sampling excluded0.77380.7340.90960.1751
Estimation excluded0.77290.713910.161



Parameters (Session):
par1 = TRUE ;
Parameters (R input):
par1 = TRUE ;
R code (references can be found in the software module):
library(psych)
par1b <- T
if(par1=='FALSE') par1b <- F
z <- t(y)
(r <- alpha(z,check.keys=par1b))
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Cronbach Alpha and Related Statistics',5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Items',1,TRUE)
a<-table.element(a,'Cronbach Alpha',1,TRUE)
a<-table.element(a,'Std. Alpha',1,TRUE)
a<-table.element(a,'G6(smc)',1,TRUE)
a<-table.element(a,'Average R',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'All itmes',header=TRUE)
a<-table.element(a,round(r$total['raw_alpha'],4))
a<-table.element(a,round(r$total['std.alpha'],4))
a<-table.element(a,round(r$total['G6(smc)'],4))
a<-table.element(a,round(r$total['average_r'],4))
a<-table.row.end(a)
n = length(z[1,])
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,paste(colnames(z)[i],' excluded',sep=''),header=TRUE)
a<-table.element(a,round(r$alpha.drop[i,'raw_alpha'],4))
a<-table.element(a,round(r$alpha.drop[i,'std.alpha'],4))
a<-table.element(a,round(r$alpha.drop[i,'G6(smc)'],4))
a<-table.element(a,round(r$alpha.drop[i,'average_r'],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')