Resources

This is the second edition of an introductory text that describes the principles of invariant measurement; how invariant measurement can be achieved using Rasch measurement theory; and how to use invariant measurement to solve a variety of measurement problems in the social, behavioral, and health sciences. Rasch models are used throughout the text, but brief comparisons of Rasch models to other item response theory (IRT) models are also provided.
Written with students in mind, this new edition was class-tested to help maximize accessibility. Chapters open with an introduction and close with a discussion and summary. All chapters have been updated from the first edition, and a new chapter on explanatory Rasch models has been added. Features include numerous examples and exercises to demonstrate the main issues addressed in each chapter. Key terms are defined when first introduced and included in a helpful end-of-text glossary.
This book also benefits from online materials which include the data sets used in the book, sample syntax files for running the Facets program, Excel files for creating item and person response functions, and links to related websites.
This book will act as a supplementary text for graduate or advanced undergraduate courses on measurement or test theory, IRT, scaling theory, psychometrics, advanced measurement techniques, research methods, or evaluation research taught in education, psychology, and other social and health sciences. It will also appeal to practitioners and researchers in these fields who develop or use scales and instruments. Only a basic mathematical level is required, including a basic course in statistics, ensuring it is an accessible resource for students and researchers alike.

Invariant Measurement with Raters and Rating Scales: Rasch Models for (routledge.com)

Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences. Readers will be able to understand and critically evaluate Rasch measurement research, perform their own Rasch analyses and interpret their results. The glossary and illustrations support that understanding, and the accessible approach means that it is ideal for readers without a mathematical background.

Highlights of the new edition include:

• More learning tools to strengthen readers’ understanding including chapter introductions, boldfaced key terms, chapter summaries, activities and suggested readings.
• Greater emphasis on the use of R packages; readers can download the R code from the Routledge website.
• Explores the distinction between numerical values, quantity and units, to understand the measurement and the role of the Rasch logit scale (Chapter 4).
• A new four-option data set from the IASQ (Instrumental Attitude towards Self-assessment Questionnaire) for the Rating Scale Model (RSM) analysis exemplar (Chapter 6).
• Clarifies the relationship between Rasch measurement, path analysis and SEM, with a host of new examples of Rasch measurement applied across health sciences, education and psychology (Chapter 10).

Intended as a text for graduate courses in measurement, item response theory, (advanced) research methods or quantitative analysis taught in psychology, education, human development, business, and other social and health sciences. Professionals in these areas will also appreciate the book’s accessible introduction.

Applying the Rasch Model: Fundamental Measurement in the Human Science (routledge.com)

Penggunaan kuesioner survei dalam penelitian kuantitatif yang dilakukan oleh mahasiswa, akademisi, dan peneliti dalam ilmu-ilmu sosial (psikologi, pendidikan, sosiologi, komunikasi, dll.) adalah sesuatu yang sudah lazim dilakukan. Di Indonesia, pengujian instrumen riset tersebut saat ini masih terbatas pada teori pengukuran klasik. Pada saat yang sama saat ini tersedia Pemodelan Rasch (Rasch Model) yang dapat menghasilkan instrumen pengukuran yang lebih baik sekaligus akurat. Sejauh ini, hanya Rasch Model yang merupakan alat analisis untuk dapat menguji validitas (kesahihan) dan reliabilitas instrumen riset, bahkan menguji kesesuaian person dan item secara simultan—sesuatu yang belum tersaingi oleh teknik analisis lain. Rasch Model juga memiliki beberapa kelebihan karena memenuhi lima prinsip model pengukuran, yaitu pertama mampu memberikan skala linier dengan interval yang sama; kedua, dapat melakukan prediksi terhadap data yang hilang; ketiga, bisa memberikan estimasi yang lebih tepat; keempat, mampu mendeteksi ketidaktepatan model: dan kelima, menghasilkan pengukuran yang replicable. Berbagai kelebihan inilah yang seharusnya dimanfaatkan oleh mahasiswa, peneliti, dan akademisi ilmu-ilmu sosial dalam penelitian mereka, untuk mendukung hasil temuan riset yang lebih berkualitas. Pengujian instrumen dan pengesahannya adalah hal yang tidak terelakkan sebagai unsur esensial sebelum melangkah ke statistik inferensial yang mencoba mendapatkan jawaban dari pertanyaan riset yang diajukan. Buku ini sebagai pemandu menjadi penting untuk dimiliki

Trevor G. Bond and Christine M. Fox.

https://www.flebm.com/mobile/index.php?r=goods&id=11130

George Rasch Research Papers

https://www.rasch.org/rasch.htm#Georg

Winsteps/Facet 

RUMM2030+

ConQuest

jMetrik

TAM package(in R)

• https://www.winsteps.com
• https://www.rummlab.com.au/
• https://www.acer.edu.au/conquest
• https://www.itemanalysis.com/
• https://cran.r-project.org/web/packages/TAM/index.html
• https://www.rasch-gz.com/

RaschJournal of Applied Measurement
Rasch Measurement Transactions

• https://www.rasch.org/
• http://www.jampress.org/
• https://www.rasch.org/rmt/