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1 | 1 | div(ng-controller="instrPerfEvalMainCtrl") |
2 | 2 | h2 Instrument Performance Evaluation |
3 | | - p. |
4 | | - Cronbach’s Alpha (α) is a measure of internal consistency or reliability of a psychometric instrument and measures |
5 | | - how well a set of items measure a single, one-dimensional latent aspect of individuals. |
6 | | - p.lead <strong> Cronbach's α: </strong> {{cronAlpha}} |
7 | | - div.table-responsive |
8 | | - table.table.table-bordered.table-striped |
9 | | - thead |
10 | | - tr |
11 | | - th Cronbach's alpha |
12 | | - th Internal consistency |
13 | | - tbody |
14 | | - tr.success |
15 | | - td <strong> α </strong> ≥ 0.9 |
16 | | - td Excellent (High-Stakes testing) |
17 | | - tr.success |
18 | | - td 0.7 ≤ <strong> α </strong> < 0.9 |
19 | | - td Good (Low-Stakes testing) |
20 | | - tr.info |
21 | | - td 0.6 ≤ <strong> α </strong> < 0.7 |
22 | | - td Acceptable |
23 | | - tr.warning |
24 | | - td 0.5 ≤ <strong> α </strong> < 0.6 |
25 | | - td Poor |
26 | | - tr.danger |
27 | | - td <strong> α </strong> < 0.5 |
28 | | - td Unacceptable |
29 | | - p. |
30 | | - Cronbach's α coefficient is a point estimate of the reliability. |
31 | | - Its standard error is important to construct an interval estimation of its true value |
32 | | - and to obtain statistical inference about its significance. |
33 | | - There are parametric and non-parametric methods to estimate the variance of Cronbach's α, |
34 | | - and compute confidence intervals. |
35 | | - p <strong> Cronbach’s Alpha confidence intervals </strong> |
36 | | - p.bg-info ID confidence interval: {{cronAlphaIdInterval}} |
37 | | - p.bg-info Koning and Franses confidence interval: {{cronAlphaKfInterval}} |
38 | | - p.bg-info Bootstrap confidence interval: {{cronAlphaBootstrapInterval}} |
39 | | - p.bg-info Logit confidence interval: {{cronAlphaLogitInterval}} |
40 | | - p.bg-info Asymptotically distribution-free (ADF) interval: {{cronAlphaAdfInterval}} |
41 | | - br |
42 | | - p <strong> Other metrics of reliability: </strong> |
43 | | - p. |
44 | | - The Intra-class correlation coefficient (ICC) assesses the consistency, or reproducibility, |
45 | | - of quantitative measurements made by different observers measuring the same quantity. |
46 | | - Broadly speaking, the ICC is defined as the ratio of between-cluster variance to total variance. |
47 | | - p.bg-info Intraclass correlation coefficient (ICC): {{icc}} |
48 | | - p. |
49 | | - In Split-Half Reliability assessment, the test is split in half (e.g., odd / even) creating "equivalent forms". |
50 | | - The two "forms" are correlated with each other and the correlation coefficient is adjusted |
51 | | - to reflect the entire test length, using the Spearman-Brown Prophecy formula. |
52 | | - p.bg-info Split-Half Reliability coefficient: {{splitHalfCoef}} |
53 | | - p. |
54 | | - The Kuder–Richardson Formula 20 (KR-20) is a very reliable internal reliability estimate which simulates |
55 | | - calculating split-half reliability for every possible combination of items. |
56 | | - The Cronbach's α and KR-20 are similar ― KR-20 is a derivative of the Cronbach's α with the advantage that |
57 | | - it can handle both dichotomous and continuous variables, however, KR-20 can't be used |
58 | | - when multiple-choice questions involve partial credit and require systematic item-based analysis. |
59 | | - p.bg-info Kuder–Richardson Formula 20 (KR-20): {{kr20}} |
60 | | - br |
61 | | - p |
62 | | - small |
63 | | - p <strong> References: </strong> |
64 | | - p 1. |
65 | | - a(href='http://wiki.socr.umich.edu/index.php/SMHS_Cronbachs'). |
66 | | - Scientific Methods for Health Sciences - Instrument Performance Evaluation: Cronbach's α |
67 | | - p. |
68 | | - 2. TSAGRIS, MICHAIL, CONSTANTINOS C. FRANGOS, and CHRISTOS C. FRANGOS. |
69 | | - "Confidence intervals for Cronbach’s reliability coefficient." |
70 | | - p. |
71 | | - 3. Maydeu-Olivares, Alberto, Donna L. Coffman, and Wolfgang M. Hartmann. |
72 | | - "Asymptotically distribution-free (ADF) interval estimation of coefficient alpha." |
73 | | - Psychological methods 12.2 (2007): 157. |
| 3 | + div.lead.bg-danger(ng-hide="dataType == DATA_TYPES.FLAT") |
| 4 | + | Instrument Performance Evaluation doesn't support current dataset. |
| 5 | + | Only "flat" data tables are supported. |
| 6 | + div(ng-hide="dataType != DATA_TYPES.FLAT") |
| 7 | + p. |
| 8 | + Cronbach’s Alpha (α) is a measure of internal consistency or reliability of a psychometric instrument and measures |
| 9 | + how well a set of items measure a single, one-dimensional latent aspect of individuals. |
| 10 | + p.lead <strong> Cronbach's α: </strong> {{cronAlpha}} |
| 11 | + div.table-responsive |
| 12 | + table.table.table-bordered.table-striped |
| 13 | + thead |
| 14 | + tr |
| 15 | + th Cronbach's alpha |
| 16 | + th Internal consistency |
| 17 | + tbody |
| 18 | + tr.success |
| 19 | + td <strong> α </strong> ≥ 0.9 |
| 20 | + td Excellent (High-Stakes testing) |
| 21 | + tr.success |
| 22 | + td 0.7 ≤ <strong> α </strong> < 0.9 |
| 23 | + td Good (Low-Stakes testing) |
| 24 | + tr.info |
| 25 | + td 0.6 ≤ <strong> α </strong> < 0.7 |
| 26 | + td Acceptable |
| 27 | + tr.warning |
| 28 | + td 0.5 ≤ <strong> α </strong> < 0.6 |
| 29 | + td Poor |
| 30 | + tr.danger |
| 31 | + td <strong> α </strong> < 0.5 |
| 32 | + td Unacceptable |
| 33 | + p. |
| 34 | + Cronbach's α coefficient is a point estimate of the reliability. |
| 35 | + Its standard error is important to construct an interval estimation of its true value |
| 36 | + and to obtain statistical inference about its significance. |
| 37 | + There are parametric and non-parametric methods to estimate the variance of Cronbach's α, |
| 38 | + and compute confidence intervals. |
| 39 | + p <strong> Cronbach’s Alpha confidence intervals </strong> |
| 40 | + p.bg-info ID confidence interval: {{cronAlphaIdInterval}} |
| 41 | + p.bg-info Koning and Franses confidence interval: {{cronAlphaKfInterval}} |
| 42 | + p.bg-info Bootstrap confidence interval: {{cronAlphaBootstrapInterval}} |
| 43 | + p.bg-info Logit confidence interval: {{cronAlphaLogitInterval}} |
| 44 | + p.bg-info Asymptotically distribution-free (ADF) interval: {{cronAlphaAdfInterval}} |
| 45 | + br |
| 46 | + p <strong> Other metrics of reliability: </strong> |
| 47 | + p. |
| 48 | + The Intra-class correlation coefficient (ICC) assesses the consistency, or reproducibility, |
| 49 | + of quantitative measurements made by different observers measuring the same quantity. |
| 50 | + Broadly speaking, the ICC is defined as the ratio of between-cluster variance to total variance. |
| 51 | + p.bg-info Intraclass correlation coefficient (ICC): {{icc}} |
| 52 | + p. |
| 53 | + In Split-Half Reliability assessment, the test is split in half (e.g., odd / even) creating "equivalent forms". |
| 54 | + The two "forms" are correlated with each other and the correlation coefficient is adjusted |
| 55 | + to reflect the entire test length, using the Spearman-Brown Prophecy formula. |
| 56 | + p.bg-info Split-Half Reliability coefficient: {{splitHalfCoef}} |
| 57 | + p. |
| 58 | + The Kuder–Richardson Formula 20 (KR-20) is a very reliable internal reliability estimate which simulates |
| 59 | + calculating split-half reliability for every possible combination of items. |
| 60 | + The Cronbach's α and KR-20 are similar ― KR-20 is a derivative of the Cronbach's α with the advantage that |
| 61 | + it can handle both dichotomous and continuous variables, however, KR-20 can't be used |
| 62 | + when multiple-choice questions involve partial credit and require systematic item-based analysis. |
| 63 | + p.bg-info Kuder–Richardson Formula 20 (KR-20): {{kr20}} |
| 64 | + br |
| 65 | + p |
| 66 | + small |
| 67 | + p <strong> References: </strong> |
| 68 | + p 1. |
| 69 | + a(href='http://wiki.socr.umich.edu/index.php/SMHS_Cronbachs'). |
| 70 | + Scientific Methods for Health Sciences - Instrument Performance Evaluation: Cronbach's α |
| 71 | + p. |
| 72 | + 2. TSAGRIS, MICHAIL, CONSTANTINOS C. FRANGOS, and CHRISTOS C. FRANGOS. |
| 73 | + "Confidence intervals for Cronbach’s reliability coefficient." |
| 74 | + p. |
| 75 | + 3. Maydeu-Olivares, Alberto, Donna L. Coffman, and Wolfgang M. Hartmann. |
| 76 | + "Asymptotically distribution-free (ADF) interval estimation of coefficient alpha." |
| 77 | + Psychological methods 12.2 (2007): 157. |
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