Information from Keywords

The bibliographic value of keywords is problematic. In an attempt to learn from them, Alvarez and Pulgarin (1996) apply Rasch analysis to a subset of keywords appearing in the journal Diabetes from 1974 to 1994. The plot is derived from numbers published in Table 2 of their paper. High measures indicate that the keyword appeared with high frequency across the years. The most frequent keyword is "Diabetes m. exp." (Diabetes mellitus experimental) which was highly frequent from 1981 to 1993. The keyword that is least predictable across the years according to the reported fit statistic is "Diabetes m. non-ins. dep." (Diabetes mellitus non-insulin dependent. But this keyword shows a predictable pattern in the data. It was not used prior to 1983, but has been increasing steadily in use since then. Many keywords are used rarely. Metformin is so predictable because it is only used once or not at all in each year.

These results show that, even with this awkward data, imposing a measurement framework enables one to learn. In fact, it encourages one to reconceptualize the problem such that each word has a measure for each year. Then the trend across time for each word can be plotted to reveal both substantive changes in research emphasis and ephemeral fashions in keyword use.

Alvarez P., Pulgarin A. (1996) The Rasch Model. Measuring information from Keywords: The Diabetes Field. Journal of the American Society for Information Science 47:6 468-476.

Alvarez P., Pulgarin A. (1996) Information from keywords. Rasch Measurement Transactions 10:2 p. 493.

Information from keywords. Alvarez P., Pulgarin A. … Rasch Measurement Transactions, 1996, 10:2 p. 493

Rasch-Related Resources: Rasch Measurement YouTube Channel
Rasch Measurement Transactions & Rasch Measurement research papers - free	An Introduction to the Rasch Model with Examples in R (eRm, etc.), Debelak, Strobl, Zeigenfuse	Rasch Measurement Theory Analysis in R, Wind, Hua	Applying the Rasch Model in Social Sciences Using R, Lamprianou	El modelo métrico de Rasch: Fundamentación, implementación e interpretación de la medida en ciencias sociales (Spanish Edition), Manuel González-Montesinos M.
Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar	Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch	Rasch Models for Measurement, David Andrich	Constructing Measures, Mark Wilson	Best Test Design - free, Wright & Stone Rating Scale Analysis - free, Wright & Masters
Virtual Standard Setting: Setting Cut Scores, Charalambos Kollias	Diseño de Mejores Pruebas - free, Spanish Best Test Design	A Course in Rasch Measurement Theory, Andrich, Marais	Rasch Models in Health, Christensen, Kreiner, Mesba	Multivariate and Mixture Distribution Rasch Models, von Davier, Carstensen
Rasch Books and Publications: Winsteps and Facets
Applying the Rasch Model (Winsteps, Facets) 4th Ed., Bond, Yan, Heene	Advances in Rasch Analyses in the Human Sciences (Winsteps, Facets) 1st Ed., Boone, Staver	Advances in Applications of Rasch Measurement in Science Education, X. Liu & W. J. Boone	Rasch Analysis in the Human Sciences (Winsteps) Boone, Staver, Yale	Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes	Rasch Models for Solving Measurement Problems (Facets), George Engelhard, Jr. & Jue Wang	Statistical Analyses for Language Testers (Facets), Rita Green	Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments (Facets), George Engelhard, Jr. & Stefanie Wind	Aplicação do Modelo de Rasch (Português), de Bond, Trevor G., Fox, Christine M
Exploring Rating Scale Functioning for Survey Research (R, Facets), Stefanie Wind	Rasch Measurement: Applications, Khine	Winsteps Tutorials - free Facets Tutorials - free	Many-Facet Rasch Measurement (Facets) - free, J.M. Linacre	Fairness, Justice and Language Assessment (Winsteps, Facets), McNamara, Knoch, Fan

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