Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_cronbach.wasp
Title produced by softwareCronbach Alpha
Date of computationWed, 10 Dec 2014 14:01:01 +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/10/t1418220248giwjv02dt1tgpry.htm/, Retrieved Fri, 17 May 2024 10:35:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265216, Retrieved Fri, 17 May 2024 10:35:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Survey Scores] [Kendall Tau NUMGRAF] [2014-12-10 13:15:38] [bcf5edf18529a33bd1494456d2c6cb9a]
-    D  [Survey Scores] [Kendall Tau NUMGRAF] [2014-12-10 13:21:05] [bcf5edf18529a33bd1494456d2c6cb9a]
- RM D      [Cronbach Alpha] [Crombach Alpha CAL] [2014-12-10 14:01:01] [ddb851b9ced255c1d64c58a7ca49fb28] [Current]
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Dataseries X:
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 0 1 1 1
1 1 1 1 1 1 1 1 1 1 1 0 1 1
1 1 1 1 1 1 0 1 0 1 1 1 1 1
0 1 1 1 1 1 1 1 1 1 1 1 0 1
0 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 0 1 0 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 0 1 1
1 1 1 1 1 1 1 1 1 1 1 1 0 1
1 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 0 1
0 1 1 1 1 1 1 1 1 1 1 1 1 1
1 0 1 1 1 1 1 1 1 1 0 1 0 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
0 1 1 0 1 1 1 1 1 1 1 1 1 1
0 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 0 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 0 1 1 1 1
1 1 1 1 1 1 1 1 1 0 1 1 1 1
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1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 0 0 0 1 0 1 1 1 1 1
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1 1 1 1 1 1 1 1 1 1 1 1 1 0
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1 1 1 1 0 1 1 0 1 1 0 1 1 1
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1 1 1 1 0 0 1 0 1 0 0 0 0 0
0 0 0 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
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1 1 1 1 1 1 1 1 1 0 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 1
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1 1 1 0 1 1 1 1 1 1 1 1 1 1
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0 1 1 0 1 1 1 1 1 1 0 1 1 1
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1 1 1 1 1 1 1 1 1 1 1 1 1 1
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1 1 1 1 0 1 0 0 0 1 0 0 1 1
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1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 0 1 1 0 1 1 1 0 0 1
1 1 1 0 1 1 1 1 1 1 0 0 1 1
1 1 1 1 1 1 1 1 1 1 0 1 1 0
1 1 1 1 0 0 1 0 1 1 0 1 1 1
0 0 0 0 1 1 1 1 0 1 0 0 0 1
1 1 1 1 0 1 1 0 1 1 0 0 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 0 1 0 0
1 1 1 1 1 1 1 1 1 0 0 0 1 0
1 1 1 1 1 1 1 1 1 1 0 1 0 0
1 1 1 1 1 1 1 1 1 1 0 1 1 1
1 1 1 0 0 1 1 0 1 0 1 0 0 0
1 1 1 0 1 1 1 1 1 1 0 1 0 1
1 1 1 1 1 1 1 1 1 1 0 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 0 1 1 0
0 1 1 1 1 1 1 1 1 1 0 0 0 1
1 1 1 1 1 1 1 1 1 0 1 1 0 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 0 0 1 0 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 0 1 1 1
1 1 1 1 0 1 0 0 0 1 0 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 0 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 0 0 1 1
1 1 1 1 1 0 0 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 0 1 0 1
1 1 1 0 0 1 1 0 1 1 1 1 0 0
1 1 1 1 1 1 1 1 1 1 0 1 1 0
1 1 1 1 1 1 1 1 1 0 0 1 1 1
1 1 1 1 1 1 1 1 1 0 1 0 0 1
0 1 1 1 1 1 1 1 1 1 1 1 1 0
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1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 0 1 1 0 1 1 0 0 1
1 1 1 1 0 0 1 1 1 1 0 1 1 1
0 1 1 1 1 1 1 1 1 1 0 0 0 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 0 1 1 1 1 1 1 0 0 1 1
1 1 1 1 0 1 0 1 1 0 0 1 0 1
1 1 1 1 1 1 1 1 1 1 0 1 0 1
1 1 1 1 1 1 1 1 1 1 1 1 0 1
1 1 1 1 1 1 1 1 1 1 0 0 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 0
1 1 1 1 0 1 1 1 0 1 1 1 1 0
1 1 1 0 1 1 1 1 1 1 0 1 1 1
1 1 1 1 1 1 1 1 1 1 1 0 1 1
1 1 1 1 1 1 1 1 1 1 1 0 1 1
0 1 1 0 1 1 1 1 1 0 0 1 1 0
1 1 1 0 1 1 1 1 1 0 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 0
0 1 1 1 1 1 1 1 1 1 1 1 0 1
1 1 1 1 1 1 1 1 1 1 1 0 1 0
0 1 1 0 1 1 1 1 1 1 1 1 0 0
1 1 1 0 1 0 1 1 0 1 0 0 1 0
0 1 1 1 1 1 1 1 1 1 0 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
0 1 1 0 1 1 1 1 1 1 1 0 0 0
0 1 1 0 0 1 0 0 0 1 1 0 1 0
1 1 1 0 0 0 0 0 1 0 0 0 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 0 1 0 1 1 0 1 0 0 1 0
1 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 0 1
1 1 1 1 1 1 1 1 1 1 0 1 1 1
0 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 0 0 1 1 1 1 1 1 1 1
0 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 0
0 1 1 0 1 0 1 1 0 0 1 1 1 1
0 1 1 1 1 1 1 1 1 1 0 1 1 1
1 1 1 1 0 1 0 1 0 1 1 1 1 0
0 1 1 1 1 1 0 1 0 1 1 0 0 0
0 1 1 1 0 0 0 0 0 1 1 1 0 1
1 1 1 1 1 1 1 1 1 0 1 0 0 1
0 1 1 1 1 1 0 1 0 1 1 1 1 0
0 1 1 1 1 1 1 1 1 1 1 1 0 0
0 1 1 1 1 1 1 1 1 0 0 0 1 0
0 1 1 1 1 1 1 1 1 1 0 0 1 0
0 1 0 1 1 1 1 1 1 0 0 0 0 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 0 1 0 0 0 1 0 1 1 0
1 1 1 1 0 0 0 0 0 0 0 1 0 0
1 1 0 0 0 0 1 0 0 1 1 1 0 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 0 0 0 1 1 0 1 1 0 0 0
1 1 1 1 1 1 1 1 1 1 1 0 1 1
1 1 1 1 1 1 0 1 0 1 0 0 1 1
0 1 1 0 1 1 1 1 1 0 0 1 1 0
1 1 1 0 0 0 0 0 0 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 0 1 1 1
1 1 1 0 1 1 1 1 1 0 1 0 0 0
1 1 1 1 1 0 1 1 0 0 1 0 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 0 1 0 1 1 0 0 0 0 0 0
0 1 1 1 0 0 0 0 0 1 0 1 1 1
0 1 1 1 1 1 1 1 1 1 1 0 1 0
0 1 1 1 1 1 0 1 0 1 0 0 1 0
1 1 1 0 0 0 1 0 0 0 1 1 1 0
1 1 1 1 0 0 1 1 1 0 0 0 0 0
0 1 1 0 1 1 1 1 1 1 1 1 1 0
1 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 1
0 1 1 0 1 0 1 1 0 0 1 1 1 0
1 1 1 0 1 1 1 1 1 1 1 1 0 1
0 1 1 1 0 0 0 1 0 1 1 1 0 0
0 1 1 0 0 0 1 1 0 1 1 0 0 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 0 1 1 1 1 0 1 1 0 1 0
0 1 1 0 0 0 1 0 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 0 0 0 1 0 1 1 0 0 0 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
0 0 0 0 0 0 0 0 0 1 1 1 1 0
1 1 1 0 0 0 1 1 1 1 0 1 1 0
1 0 1 1 1 1 1 1 1 1 0 1 1 0
0 1 1 1 1 1 1 1 1 0 0 0 1 0
0 1 1 0 0 0 1 1 0 0 0 1 1 0
1 1 1 0 0 1 1 0 1 0 0 0 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 1 1 1 1 1 1 1 1 0 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 0 1 1 1
0 0 1 1 1 1 0 1 0 1 1 1 0 0
0 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 0 0 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 0 1
1 1 1 1 1 1 1 1 1 1 1 0 1 0
0 1 1 0 1 0 1 1 0 1 1 1 0 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
0 1 1 1 0 0 1 1 0 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
0 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 0 1 1 1 1
0 1 1 1 1 1 1 1 1 1 1 1 1 1
0 1 1 0 0 0 1 0 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 0 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 0 1 1 1 1 1 1 1 0 0 0
1 1 1 0 1 1 1 1 1 1 1 1 0 0
1 1 1 0 0 0 1 1 1 1 1 1 1 0
0 1 1 0 1 1 1 1 1 1 1 1 1 0
0 1 1 1 0 0 0 1 0 1 1 1 0 0
1 1 1 0 1 1 0 1 0 1 1 1 1 0
0 1 1 0 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 0 0 0 1 1 1 1 1 1 0 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 0 1 1 1 1 1 1 1 0 1 0
1 1 1 1 0 0 1 1 1 1 1 1 0 0
0 1 1 1 1 1 1 1 1 1 1 0 0 0
1 1 1 1 1 1 1 1 1 0 0 1 0 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
0 1 1 0 1 1 0 1 0 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 0 0 1
1 1 1 1 1 1 1 1 1 1 0 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 0 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 0 0 0 1 0 1 0 1 1 0
1 1 1 0 1 1 1 1 1 1 1 1 1 0
1 1 1 1 0 0 1 0 1 0 0 0 0 1
0 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 0 0 1 1 1 0 1 1 0 1 0
1 1 1 0 1 1 1 1 1 1 1 1 0 1
0 1 1 0 0 1 1 0 1 1 0 1 0 0
1 1 1 1 0 1 1 0 1 0 1 0 0 1
1 1 1 0 1 1 1 1 1 1 1 1 0 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 0 0
1 1 1 1 1 1 1 1 1 1 1 0 1 0
0 1 1 1 0 1 0 1 0 0 0 0 0 0
0 1 1 1 0 1 1 0 1 1 1 0 1 0
0 1 1 1 1 1 1 1 1 1 1 0 1 0
1 1 1 0 1 1 1 1 1 1 1 1 1 0
0 0 0 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 0 0 0
1 1 1 0 0 1 1 0 1 0 0 1 0 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 0 1 0 1 0
1 1 1 1 0 1 0 1 0 1 1 0 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 0 0 0 0 1 0 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 0 1 1 1
0 1 1 1 1 1 1 1 1 1 1 1 0 0
1 1 1 1 0 0 1 1 1 1 1 1 1 1
1 1 1 1 0 1 1 1 0 0 1 1 1 0
0 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 0 0 1 1 0 0 0 0 1 0
0 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 0 0 0 1 1 1 1 1 0 1 0
1 1 1 1 1 1 0 1 0 1 1 0 1 0
1 1 1 1 1 1 1 1 1 0 1 1 1 1
0 1 1 0 1 1 1 1 1 1 1 1 1 1
0 1 1 0 0 1 1 0 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 0 1 1 0 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 0 0 0 0 1 0 1 1 1 0 0
0 1 1 1 1 1 1 1 1 1 1 0 1 1
0 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
0 1 1 1 1 1 1 1 1 1 0 1 1 1
0 1 1 1 1 0 1 1 1 1 1 1 1 1
1 1 1 0 0 0 0 0 0 1 1 0 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 0 0 1 0 0
1 1 1 1 0 0 0 1 0 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 0 1 1 1
1 1 1 0 1 1 1 1 1 1 0 1 1 0
0 0 0 1 0 1 1 0 1 1 0 0 0 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1
0 1 1 0 0 0 1 0 0 1 1 0 1 0
1 1 1 0 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 0 1
0 1 1 0 1 0 1 1 0 1 1 1 1 0
1 1 1 0 1 0 0 1 0 1 1 1 1 0
0 1 1 1 1 1 1 1 1 1 1 0 1 0
0 1 1 0 1 0 1 1 0 1 0 1 0 0
0 1 1 1 0 1 1 0 1 0 1 0 1 0
0 1 1 1 1 1 1 1 1 1 1 1 1 1
0 1 1 1 0 0 0 1 0 1 1 1 1 0
0 1 1 1 1 1 0 1 0 1 1 1 0 0
1 1 1 0 0 0 0 1 1 1 1 1 1 1
0 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 1 0 0 0 0 0 1 1 1 0 0
1 1 1 0 1 1 1 1 1 1 1 0 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 0 1 1 1 1 1 1 1 1 1 0
0 1 1 0 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
0 1 1 0 1 1 1 1 1 1 0 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 0 1 1 1 1
1 1 1 0 1 1 1 1 1 1 1 1 1 0
0 1 1 1 1 1 1 1 1 1 0 1 1 0
0 1 1 1 1 1 1 1 1 0 0 0 0 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 1 1 1 1 1 1 1 1 1 1 0
1 1 1 0 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 0 1 1 0 1 0 1 1 1
0 0 0 0 1 1 1 1 1 1 1 1 1 0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time38 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 38 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265216&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]38 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265216&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265216&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 time38 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Cronbach Alpha and Related Statistics
ItemsCronbach AlphaStd. AlphaG6(smc)Average R
All itmes0.66810.69830.77320.1419
NUMERACYQ12 excluded0.66410.69460.77430.1489
NUMERACYQ11.2b excluded0.66180.68690.74310.1444
NUMERACYQ11.2a excluded0.6590.68060.73840.1408
NUMERACYQ11.1 excluded0.66640.6960.77590.1498
NUMERACYQ8.5 excluded0.61540.65330.71320.1266
NUMERACYQ8.4 excluded0.62870.66410.73660.132
NUMERACYQ8.3 excluded0.64150.67020.73540.1352
NUMERACYQ8.2 excluded0.63280.6650.73190.1325
NUMERACYQ8.1 excluded0.62570.65730.7230.1286
NUMERACYQ4.3 excluded0.66160.69730.77540.1505
NUMERACYQ4.2 excluded0.67610.70270.77830.1538
NUMERACYQ4.1 excluded0.65570.69110.770.1468
NUMERACYQ2 excluded0.6630.69610.77710.1498
NUMERACYQ1 excluded0.66110.69120.77210.1469

\begin{tabular}{lllllllll}
\hline
Cronbach Alpha and Related Statistics \tabularnewline
Items & Cronbach Alpha & Std. Alpha & G6(smc) & Average R \tabularnewline
All itmes & 0.6681 & 0.6983 & 0.7732 & 0.1419 \tabularnewline
NUMERACYQ12 excluded & 0.6641 & 0.6946 & 0.7743 & 0.1489 \tabularnewline
NUMERACYQ11.2b excluded & 0.6618 & 0.6869 & 0.7431 & 0.1444 \tabularnewline
NUMERACYQ11.2a excluded & 0.659 & 0.6806 & 0.7384 & 0.1408 \tabularnewline
NUMERACYQ11.1 excluded & 0.6664 & 0.696 & 0.7759 & 0.1498 \tabularnewline
NUMERACYQ8.5 excluded & 0.6154 & 0.6533 & 0.7132 & 0.1266 \tabularnewline
NUMERACYQ8.4 excluded & 0.6287 & 0.6641 & 0.7366 & 0.132 \tabularnewline
NUMERACYQ8.3 excluded & 0.6415 & 0.6702 & 0.7354 & 0.1352 \tabularnewline
NUMERACYQ8.2 excluded & 0.6328 & 0.665 & 0.7319 & 0.1325 \tabularnewline
NUMERACYQ8.1 excluded & 0.6257 & 0.6573 & 0.723 & 0.1286 \tabularnewline
NUMERACYQ4.3 excluded & 0.6616 & 0.6973 & 0.7754 & 0.1505 \tabularnewline
NUMERACYQ4.2 excluded & 0.6761 & 0.7027 & 0.7783 & 0.1538 \tabularnewline
NUMERACYQ4.1 excluded & 0.6557 & 0.6911 & 0.77 & 0.1468 \tabularnewline
NUMERACYQ2 excluded & 0.663 & 0.6961 & 0.7771 & 0.1498 \tabularnewline
NUMERACYQ1 excluded & 0.6611 & 0.6912 & 0.7721 & 0.1469 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265216&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]0.6681[/C][C]0.6983[/C][C]0.7732[/C][C]0.1419[/C][/ROW]
[ROW][C]NUMERACYQ12 excluded[/C][C]0.6641[/C][C]0.6946[/C][C]0.7743[/C][C]0.1489[/C][/ROW]
[ROW][C]NUMERACYQ11.2b excluded[/C][C]0.6618[/C][C]0.6869[/C][C]0.7431[/C][C]0.1444[/C][/ROW]
[ROW][C]NUMERACYQ11.2a excluded[/C][C]0.659[/C][C]0.6806[/C][C]0.7384[/C][C]0.1408[/C][/ROW]
[ROW][C]NUMERACYQ11.1 excluded[/C][C]0.6664[/C][C]0.696[/C][C]0.7759[/C][C]0.1498[/C][/ROW]
[ROW][C]NUMERACYQ8.5 excluded[/C][C]0.6154[/C][C]0.6533[/C][C]0.7132[/C][C]0.1266[/C][/ROW]
[ROW][C]NUMERACYQ8.4 excluded[/C][C]0.6287[/C][C]0.6641[/C][C]0.7366[/C][C]0.132[/C][/ROW]
[ROW][C]NUMERACYQ8.3 excluded[/C][C]0.6415[/C][C]0.6702[/C][C]0.7354[/C][C]0.1352[/C][/ROW]
[ROW][C]NUMERACYQ8.2 excluded[/C][C]0.6328[/C][C]0.665[/C][C]0.7319[/C][C]0.1325[/C][/ROW]
[ROW][C]NUMERACYQ8.1 excluded[/C][C]0.6257[/C][C]0.6573[/C][C]0.723[/C][C]0.1286[/C][/ROW]
[ROW][C]NUMERACYQ4.3 excluded[/C][C]0.6616[/C][C]0.6973[/C][C]0.7754[/C][C]0.1505[/C][/ROW]
[ROW][C]NUMERACYQ4.2 excluded[/C][C]0.6761[/C][C]0.7027[/C][C]0.7783[/C][C]0.1538[/C][/ROW]
[ROW][C]NUMERACYQ4.1 excluded[/C][C]0.6557[/C][C]0.6911[/C][C]0.77[/C][C]0.1468[/C][/ROW]
[ROW][C]NUMERACYQ2 excluded[/C][C]0.663[/C][C]0.6961[/C][C]0.7771[/C][C]0.1498[/C][/ROW]
[ROW][C]NUMERACYQ1 excluded[/C][C]0.6611[/C][C]0.6912[/C][C]0.7721[/C][C]0.1469[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265216&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265216&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 itmes0.66810.69830.77320.1419
NUMERACYQ12 excluded0.66410.69460.77430.1489
NUMERACYQ11.2b excluded0.66180.68690.74310.1444
NUMERACYQ11.2a excluded0.6590.68060.73840.1408
NUMERACYQ11.1 excluded0.66640.6960.77590.1498
NUMERACYQ8.5 excluded0.61540.65330.71320.1266
NUMERACYQ8.4 excluded0.62870.66410.73660.132
NUMERACYQ8.3 excluded0.64150.67020.73540.1352
NUMERACYQ8.2 excluded0.63280.6650.73190.1325
NUMERACYQ8.1 excluded0.62570.65730.7230.1286
NUMERACYQ4.3 excluded0.66160.69730.77540.1505
NUMERACYQ4.2 excluded0.67610.70270.77830.1538
NUMERACYQ4.1 excluded0.65570.69110.770.1468
NUMERACYQ2 excluded0.6630.69610.77710.1498
NUMERACYQ1 excluded0.66110.69120.77210.1469



Parameters (Session):
par1 = 0 1 ;
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')