Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Timbul Pardede"'
Autor:
Timbul Pardede, Agus Santoso, Diki Diki, Heri Retnawati, Ibnu Rafi, Ezi Apino, Munaya Nikma Rosyada
Publikováno v:
REID (Research and Evaluation in Education), Vol 9, Iss 1, Pp 86-117 (2023)
Three popular models are used to describe the characteristics of the test items and estimate the ability of examinees under the dichotomous IRT model, namely the one-, two-, and three-parameter logistic models. The three-item parameters are discrimin
Externí odkaz:
https://doaj.org/article/5dabf511ca6c4e7a8ed4069b6ee224b9
Autor:
Agus Santoso, Timbul Pardede, Hasan Djidu, Ezi Apino, Ibnu Rafi, Munaya Nikma Rosyada, Harris Shah Abd Hamid
Publikováno v:
REID (Research and Evaluation in Education), Vol 8, Iss 2, Pp 140-151 (2022)
Scoring quality has been recognized as one of the important aspects that should be of concern to both test developers and users. This study aimed to investigate the effect of scoring correction and model fit on the estimation of ability parameters an
Externí odkaz:
https://doaj.org/article/74954acf36ed43a98417d2f242006d71
Autor:
Agus Santoso, Timbul Pardede, Ezi Apino, Hasan Djidu, Ibnu Rafi, Munaya Nikma Rosyada, Heri Retnawati, Gulzhaina K. Kassymova
Publikováno v:
Psychology, Evaluation, and Technology in Educational Research. 5:1-13
In item response theory, the number of response categories used in polytomous scoring has an effect on the fit of the model used. When the initial scoring model yields unsatisfactory estimates, corrections to the initial scoring model need to be made
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0575b9c60a78b5d2e55c8e9aeb59c85
https://doi.org/10.33292/petier.v5i1.148
https://doi.org/10.33292/petier.v5i1.148
Autor:
Timbul Pardede
Publikováno v:
Jurnal Matematika, Sains dan Teknologi, Vol 14, Iss 2, Pp 84-100 (2013)
Jurnal Matematika, Sains dan Teknologi, Vol 14, Iss 2 (2013)
Jurnal Matematika, Sains dan Teknologi, Vol 14, Iss 2 (2013)
Ward method and K-mean method are clustering method in which grouping only base on distance measure among observed objects, without considering statistical aspects. Model-based clustering is a method that use statistical aspects, as its theoretical b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99dcb59748838cb1a3b94899891076e7
http://jurnal.ut.ac.id/JMST/article/view/368
http://jurnal.ut.ac.id/JMST/article/view/368
Publikováno v:
The Sustainable City IX.
Some studies about climate change in Jakarta have revealed that air pollution and water supply has reached a critical level, and one of the efforts to reduce that climate change impact is to increase green areas. Under Indonesian Law No. 26/2007 the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cf66db4420fde37a0c633e93933f3e9
https://doi.org/10.2495/sc140261
https://doi.org/10.2495/sc140261
Autor:
Timbul Pardede
Publikováno v:
Jurnal Matematika, Sains dan Teknologi, Vol 8, Iss 2 (2007)
Jurnal Matematika, Sains dan Teknologi, Vol 8, Iss 2, Pp 98-108 (2016)
Jurnal Matematika, Sains dan Teknologi, Vol 8, Iss 2, Pp 98-108 (2016)
K-mean method is a clustering method in which grouping techniques are based only on distance measure among observed objects, without considering statistical aspects. Model-based clustering is a method that use statistical aspects, as its theoretical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d4e4bbac46b5dd3aacdf7b88071b50ac
http://jurnal.ut.ac.id/index.php/jmst/article/view/630
http://jurnal.ut.ac.id/index.php/jmst/article/view/630