WrightMap: IRT Item-Person Map

Secara default, pelabelan item dalam item person map menggunakan WrightMap adalah berdasarkan urutan. Jika ada soal yang dihapus, maka, akan membingungkan membaca item-person map nya.

David sudah menambah fitur untuk menggunakan custom label ini, seperti dijelaskan disini [2], tapi sepertinya update ini, baru bisa digunakan jika input WrightMap berupa CQModel

Referensi

1. WrightMap: IRT Item-Person Map with 'ConQuest' Integration, https://cran.r-project.org/web/packages/WrightMap/index.html
2. Using item names as item.labels #6, https://github.com/david-ti/wrightmap/issues/6

Arti Nilai Parameter b yang Terlampau Besar pada Teori IRT

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Referensi

1. Meaning of large values of parameter b (|b| >>) 4 in IRT theory, https://stats.stackexchange.com/questions/169247/meaning-of-large-values-of-parameter-b-b-4-in-irt-theory

Parallel Computing in R

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Referensi

1. Quick Intro to Parallel Computing in R, https://nceas.github.io/oss-lessons/parallel-computing-in-r/parallel-computing-in-r.html

IRT : Item Characteristic Curve (ICC)

Item Characteristic Curve (ICC) atau dikenal juga dengan Item Response Function (IRF).

Referensi

1. Item Characteristic Curve, https://www.sciencedirect.com/topics/psychology/item-characteristic-curve
2. Introduction to IRT Using R (2PL), https://wnarifin.github.io/simpler/irt_2PL.html
3. A visual guide to item response theory, https://www.metheval.uni-jena.de/irt/VisualIRT.pdf
4. LMS Assessment: using IRT analysis to detect defective multiple-choice test items, https://www.researchgate.net/publication/273460057_LMS_Assessment_using_IRT_analysis_to_detect_defective_multiple-choice_test_items
5. Hubungan Parameter Item Discrimination dengan Item Fit Menggunakan Model Dua Parameter Logistik, http://repository.ub.ac.id/id/eprint/163714/1/Danang%20Kamal%20M.pdf

irtoys : A Collection of Functions Related to Item Response Theory (IRT)

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Referensi

1. irtoys, https://slideplayer.com/slide/10753417/
2. Round about irtoys, Ivailo Partchev, https://cran.r-project.org/web/packages/irtoys/vignettes/irtoys-vignette.html

Visualisasi Spasial di R

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Referensi

1. Indonesia, R package contains things related to my beloved country, Indonesia,
   https://github.com/rasyidstat/indonesia
2. Membuat Visualisasi Peta Menggunakan ggplot2 dan sf, https://datascience.or.id/article/Membuat-Visualisasi-Peta-Menggunakan-ggplot2-+-sf-5a8fa6e6
3. How to Create Indonesia Map in R, https://www.linkedin.com/pulse/how-create-indonesia-map-r-bhara-yudhiantara

Bersahabat dengan Graph Theory

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Referensi

1. Graph Theory on the Farm, http://www.dcs.gla.ac.uk/~kitty/GTotF/index.html

IRT : Equating

Status : Draft

Referensi

1. Can AI learn to equate?, https://www.cambridgeassessment.org.uk/Images/424229-can-ai-learn-to-equate-.pdf
2. Linking and Equating of Test Scores, https://slideplayer.com/slide/8986886/

Transformative Assesment: When Assesment is Not Only About Judging The Students But Developing Their Performance

Status : Draft

Referensi

1. How We Have Used Item Response Theory And Classroom Management To Improve Student Success Rates In Large General Chemistry Classes, http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422017000400456

TAM: Test Analysis Modules

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Referensi

1. TAM: Test Analysis Modules, https://cran.r-project.org/web/packages/TAM/index.html
2. TAM Tutorials, http://www.edmeasurementsurveys.com/TAM/Tutorials/index.htm
3. Using WrightMap with the TAM package, https://wrightmap.org/post/100850738072/using-wrightmap-with-the-tam-package

Menjalankan irtoys dengan engine bilog di Mac OS X

git clone https://github.com/OpenThinkLabs/irtoys.git
cd irtoys
jed R/estimate.R

R CMD build .
R CMD install irtoys_0.2.1.tar.gz
cp blm1.exe ~/.wine/drive_c/windows/
cp blm2.exe ~/.wine/drive_c/windows/
cp blm3.exe ~/.wine/drive_c/windows/

Bilog versi yg digunakan ini, hanya dapat digunakan di MacOS Mojave ke bawah. 

Bersahabat dengan JASP

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Referensi

1. JASP, A Fresh Way to Do Statistics, https://jasp-stats.org/

Outliers

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Referensi

1. Outlier Treatment, http://r-statistics.co/Outlier-Treatment-With-R.html
2. Data Management in R Identify, describe, plot, and remove the outliers from the dataset, https://datascienceplus.com/identify-describe-plot-and-removing-the-outliers-from-the-dataset/