Example of Reliability Suggesting Big ProblemsExample of Reliability Suggesting A Few Problematic ItemsReliability After Three Weak Items are DroppedStd. DeviationExample of List of Data_ Page 1 ID JEWCULT JEWFRNDS SELFJEW CHEAP WSNOBS ECONWELL REPPERSC DISCTODY OPENEND________ ________ ________ ________ ________ ________ ________ ________ ________ ________ 101.00 4.00 3.00 3.00 2.00 3.00 3.00 4.00 1.00 1.00 102.00 4.00 5.00 2.00 4.00 3.00 3.00 4.00 3.00 4.00 103.00 5.00 4.00 2.00 3.00 3.00 3.00 4.00 2.00 3.00 104.00 5.00 5.00 3.00 3.00 3.00 5.00 4.00 2.00 4.00 105.00 4.00 5.00 1.00 3.00 3.00 4.00 4.00 3.00 1.00 106.00 5.00 5.00 3.00 3.00 2.00 4.00 5.00 4.00 4.00 107.00 4.00 5.00 3.00 4.00 4.00 3.00 4.00 2.00 3.00 108.00 2.00 3.00 1.00 4.00 4.00 2.00 2.00 2.00 . 109.00 3.00 2.00 1.00 3.00 4.00 4.00 1.00 2.00 3.00 110.00 1.00 4.00 1.00 3.00 3.00 4.00 4.00 3.00 3.00 201.00 2.00 3.00 1.00 2.00 3.00 4.00 3.00 3.00 4.00 202.00 2.00 3.00 1.00 4.00 3.00 4.00 2.00 2.00 4.00 203.00 2.00 2.00 1.00 5.00 5.00 1.00 5.00 5.00 3.00 204.00 1.00 1.00 1.00 3.00 3.00 3.00 4.00 4.00 2.00 205.00 1.00 1.00 1.00 3.00 4.00 3.00 4.00 2.00 . 206.00 2.00 3.00 1.00 5.00 4.00 1.00 5.00 5.00 3.00 207.00 5.00 4.00 3.00 3.00 3.00 4.00 3.00 2.00 4.00 208.00 2.00 2.00 1.00 5.00 5.00 1.00 4.00 2.00 . 209.00 2.00 5.00 1.00 3.00 2.00 4.00 4.00 4.00 3.00 210.00 5.00 5.00 3.00 4.00 5.00 4.00 4.00 3.00 4.00 301.00 2.00 2.00 1.00 5.00 5.00 1.00 4.00 1.00 3.00 302.00 2.00 2.00 1.00 4.00 4.00 4.00 3.50 4.00 2.00 303.00 2.00 2.00 1.00 5.00 5.00 2.00 4.00 4.00 3.00 304.00 2.00 2.00 1.00 5.00 5.00 2.00 5.00 3.00 2.00 305.00 4.00 3.00 1.00 3.00 4.00 4.00 4.00 2.00 3.00 306.00 2.00 2.00 1.00 2.00 2.00 4.00 5.00 2.00 4.00 307.00 4.00 5.00 3.00 4.00 4.00 2.00 4.00 2.00 4.00 308.00 5.00 5.00 3.00 5.00 4.00 2.00 5.00 4.00 3.00 309.00 4.00 5.00 3.00 3.00 3.00 4.00 3.50 4.00 4.00 310.00 2.00 2.00 1.00 4.00 3.00 3.00 4.00 3.00 4.00_Example of Frequency for Item with No Problem of VariabilityJEWFRNDS Frequency Percent ValidPercentCumulativePercent Valid 1.00 2 6.7 6.7 6.7 2.00 9 30.0 30.0 36.7 3.00 6 20.0 20.0 56.7 4.00 3 10.0 10.0 66.7 5.00 10 33.3 33.3 100.0 Total 30 100.0 100.0 Example of Frequency Table for relatively low variability: 85% of cases are in categories 4 & 5, 2/3 in 4. Possible problem.THREAT Frequency Percent ValidPercentCumulativePercent Valid 1.00 1 2.6 2.6 2.6 2.00 2 5.1 5.1 7.7 3.00 3 7.7 7.7 15.4 4.00 26 66.7 66.7 82.1 5.00 7 17.9 17.9 100.0 Total 39 100.0 100.0 Example of Frequency Table with serious variability problemTHREAT Frequency Percent ValidPercentCumulativePercent Valid 1.00 0 0 0 0 2.00 0 0 0 0 3.00 0 0 0 0 4.00 36 92.3 92.3 92.3 5.00 3 7.7 7.7 100.0 Total 39 100.0 100.0Example of Reliability That “Looks Good”****** Method 2 (covariance matrix) will be used for this analysis ******_ R E L I A B I L I T Y A N A L Y S I S - S C A L E (A L P H A) Mean Std Dev Cases 1. NEEDWAR 3.6410 1.3667 39.0 2. REMAIN 3.0769 1.2005 39.0 3. BLEMISH 3.1282 1.0804 39.0 4. PEACE 2.4872 1.0227 39.0 5. THREAT 3.9231 .8393 39.0 6. SUFFER 3.0641 1.2470 39.0 7. SAFER 2.8205 .9966 39.0 8. MEDIA 2.9231 1.1094 39.0 9. PRIVACY 2.9103 1.2767 39.0 10. ASHAMED 3.4359 1.2523 39.0 11. NEGOPIN 2.6667 1.2425 39.0 Correlation Matrix NEEDWAR REMAIN BLEMISH PEACE THREATNEEDWAR 1.0000REMAIN .7711 1.0000BLEMISH .5310 .4994 1.0000PEACE .6180 .6546 .3469 1.0000THREAT .4341 .2672 .3594 .2594 1.0000SUFFER .5312 .5240 .4235 .4185 .2060SAFER .4924 .6937 .3641 .5270 .2977MEDIA .6756 .6566 .6232 .4746 .2478PRIVACY .4034 .3738 .1707 .3569 .1776ASHAMED .7397 .7823 .5411 .6929 .3082NEGOPIN .5476 .5645 .5227 .3383 .3533 SUFFER SAFER MEDIA PRIVACY ASHAMEDSUFFER 1.0000SAFER .5283 1.0000MEDIA .6504 .5108 1.0000PRIVACY .2103 .1938 .4316 1.0000ASHAMED .6136 .6337 .7446 .4778 1.0000NEGOPIN .5577 .5454 .6109 .2378 .6032 NEGOPINNEGOPIN 1.0000_ R E L I A B I L I T Y A N A L Y S I S - S C A L E (A L P H A) N of Cases = 39.0 N ofStatistics for Mean
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