Chapter 14 Coefficient Alpha
Coefficient Alpha (also known as Cronbach’s Alpha, but Cronbach disliked that association; Cronbach and Shavelson 2004) is considered a measure of internal consistency and can, if a set of severe assumptions is met, estimate the reliability of a set of items.
14.1.1 Example dataset
From this dataset, this example uses variables
14.2 Input: jamovi
In the “Analyses” tab, click the “Factor” button and from the menu that appears, select “Reliability Analysis” as shown in Figure 14.1.
In the box at the left, select all variables you want to include in this analysis and move them to the box labelled “Items” using the button labelled with the rightward-pointing arrow as shown in Figure 14.2.
Because Coefficient Alpha (called Cronbach’s Alpha in the jamovi interface) has already been checked (see the left-most column at the bottom labelled “Scale Statistics”), you will immediately see Coefficient Alpha for the selected items appear in the table in jamovi’s Results pane on the right-hand side. You can now also order additional statistics, such as the value Coefficient Alpha would have if you were to omit each item, as shown in Figure 14.3.
14.3 Input: R
14.3.1 R: rosetta
rosetta::reliability( data = dat, items = c( "highDose_AttGeneral_good", "highDose_AttGeneral_prettig", "highDose_AttGeneral_slim", "highDose_AttGeneral_gezond", "highDose_AttGeneral_spannend" ) );
14.4 Input: SPSS
To compute Coefficient Alpha in SPSS, use the following command:
RELIABILITY /VARIABLES = highDose_AttGeneral_good highDose_AttGeneral_prettig highDose_AttGeneral_slim highDose_AttGeneral_gezond highDose_AttGeneral_spannend /MODEL = ALPHA.
To order additional information, such as descriptive statistics, inter-item correlations, and other scale statistics, you can specify additional options:
RELIABILITY /VARIABLES = highDose_AttGeneral_good highDose_AttGeneral_prettig highDose_AttGeneral_slim highDose_AttGeneral_gezond highDose_AttGeneral_spannend /MODEL = ALPHA /STATISTICS = DESCRIPTIVE SCALE CORR /SUMMARY = TOTAL.
14.5 Output: jamovi
14.6 Output: R
14.6.1 R: rosetta
126.96.36.199 Reliability analysis
188.8.131.52.1 Scale structure
184.108.40.206.1.1 Scale structure
220.127.116.11.1.1.1 Information about this scale
|Items:||highDose_AttGeneral_good, highDose_AttGeneral_prettig, highDose_AttGeneral_slim, highDose_AttGeneral_gezond & highDose_AttGeneral_spannend|
|Number of correlations:||10|
|Percentage positive correlations:||100|
18.104.22.168.1.1.2 Estimates assuming interval level
|Revelle’s Omega (total):||0.79|
|Greatest Lower Bound (GLB):||0.87|
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
14.7 Output: SPSS
The SPSS output still has to be added.
Cronbach, Lee J., and Richard J. Shavelson. 2004. “My Current Thoughts on Coefficient Alpha and Successor Procedures.” Educational and Psychological Measurement 64 (3): 391–418. https://doi.org/10/bwg2pm.