Let's Improve our Presentations!

Here are 7 guidelines for improving the quality of paper presentations suggested in Biblical Archaeology Review (March/April 1993, 19(2), p.50).

1. Prepare your paper for oral presentation. Most papers start out from a text meant to be read rather than spoken. We speak differently than we write. We hear differently than we read. Say it out loud. Does it sounds natural?

2. Speak, don't read, to your audience. This may take practice, but it's worth it. People in the audience have often come thousands of miles to hear you.

3. Be informal. It is really possible to be informal and scholarly at the same time.

4. Time yourself. When the chair tells speakers they're out of time, it's embarrassing. Worse, speakers are prevented from making their most important points. There is an easy antidote: time yourself beforehand.

5. If you must summarize previous work, be brief and to the point. Your audience assumes you've done your homework. We've come to hear you tell us what is new.

6. In your opening sentence, tell your audience what your conclusion is going to be. If we know where you're going, we will follow you better and be less likely to doze.

7. Edit your presentation beforehand. After you've finished preparing your talk, read it over carefully and ask yourself if there are any topics that can be eliminated without damaging the flow of your argument. To understand your main points, do we need to know the sample demographics? The estimation equations? Your previous findings? If not, eliminate them. Then present your material aloud to yourself, asking yourself if your are presenting your material logically, clearly and precisely. Less complexity gives more impact.

Let's improve our presentations! … Rasch Measurement Transactions, 1995, 8:4 p.403

Rasch Books and Publications
Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, 2nd Edn. George Engelhard, Jr. & Jue Wang	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
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes	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	Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
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
Other 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

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