Use this url to cite publication: https://hdl.handle.net/20.500.12259/101387
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Optimization of data processing and presentation in social surveys: from likert-means to “Yes Percentage”
Type of publication
Straipsnis konferencijos medžiagoje Scopus duomenų bazėje / Article in conference proceedings in Scopus database (P1a2)
Author(s)
Bubelienė, Daiva | Kauno kolegija |
Title
Optimization of data processing and presentation in social surveys: from likert-means to “Yes Percentage”
Is part of
MSBC 2019: Modeling and simulation of social-behavioral phenomena in creative societies: 1-st international EURO mini conference, Vilnius, Lithuania, September 18–20, 2019: proceedings / editors Nitin Agarwal, Leonidas Sakalauskas, Gerhard-Wilhelm Weber. Cham: Springer verlag, 2019
Date Issued
Date Issued |
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2019 |
Publisher
Cham: Springer verlag, 2019
Publisher (trusted)
Is Referenced by
Extent
p. 12-25
Field of Science
Abstract
The article presents a replication study of a significant empirical study carried out earlier. Borg, Gabler [3] showed that there is an extremely high correlation between the Means of Likert Scale Items and the percentage of agreement (Yes%). On this basis, they suggested to use not traditional Likert mean, but Yes % in survey reports. The latter are easier to interpret and do not have the same problem as Equidistance of Likert-type scales. It was decided, based on the big date (N ≈ 9000), to carry out the replication study in another historical time, in another culture and measuring another construct. If the statistical regularity detected by Borg, Gabler is repeated, it is universal, then it is really appropriate to move to a wider use of Yes% when preparing the survey report. The replication study showed that there is an extremely high correlation (R2 = 0.948) between the primary Likert items means and Yes% of items, approximating to the linear function. Used the classic 5-grade Likert scale. The verification is carried out only at the level of single items without passing to the level of analysis of additive indexes. It also turned out that the Likert items-mean correlation with the No% is lower (R2 = 0.865), which negates the postulate of symmetry of the scale. In addition, the Likert means correlation with “neutral category%” is even lower - R2 = 0.340. When preparing Survey studies reports, give priority to “yes %” instead of Likert items means.
Series/Report no.
(Communications in Computer and Information Science, vol. 1079 1865-0929)
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Šveicarija / Switzerland (CH)