dc.contributor.author | Diana Suzana, Mandar | |
dc.date.accessioned | 2017-10-31T01:51:49Z | |
dc.date.available | 2017-10-31T01:51:49Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Journal of Engineering Research and Education, vol. 7, 2013, pages 37-44. | en_US |
dc.identifier.issn | 1823-2981 | |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/50185 | |
dc.description | Link to publisher's homepage at http://jere.unimap.edu.my | en_US |
dc.description.abstract | Estimates of internal consistency reliability of the approach are based on data from one
form of the imposition of a measure on a group of subjects (single trial administration).
There is a relationship between the two sides approach with consistency in estimating the
reliability of the mathematical estimation. Difference between the two approaches is the
unit of analysis in which the two sides approach compares the first half with the other parts
of the test while the internal consistency approach compares each item with every other
item on the test. The advantage of using internal consistency approach is, to avoid the
problems that are usually caused by a re-test approach and the approach of parallel tests.
The shape and nature of the measuring instrument and the many parts that are made will
determine the reliability coefficient estimation technique. Among the computational
techniques of internal consistency reliability model of a multidimensional approach in this
paper discusses the Stratified Alpha, Mosier, and Wang Reliability Coefficient formula.
Interpretation of the reliability coefficient is relative. There is no absolute limit which
showed the lowest reliability coefficients that must be achieved so that a measurement can be called reliable. Many researchers found that evaluation of the psychometric property measurements using psychometric formulas without verifying the assumptions underlying the formulas can be questioned its reliability. If these assumptions are not met then the Alpha coefficient reliability produced is below the limit value estimate (underestimate). Psychometric experts have warned that most of the formulas contained psychometric assumptions that need to be met in order for these formulas yield accurate information on the measurements made. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Reliability | en_US |
dc.subject | Stratified alpha | en_US |
dc.subject | Mosier | en_US |
dc.subject | Wang | en_US |
dc.title | Effect of sample size multidimensional reliability of National Scale Test of Mathematics in DKI Jakarta Science Program High Schools | en_US |
dc.type | Article | en_US |
dc.identifier.url | http://jere.unimap.edu.my | |
dc.contributor.url | suzanad23@yahoo.com | en_US |