Publications for Russell G. Almond

This directory contains archived versions of unpublished and extended versions of papers which are unavailable through other means. It also contains my Curriculum Vitae and complete list of publications in html and BibTeX formats.

Local Papers on this server

• Russell G. Almond. Building self-efficacy: How mentorpower works. Talk given as part of 2006 mentor training session., October 2006.
• Russell G Almond. Using evidence models to aggregate information. White Paper developed for ONR call for suggestions about the future of assessment., 2002.
• R.G. Almond. Hypergraph grammars for knowledge based model construction. StatSci Research Report 23, 1995.
• Russell G. Almond. Brushing histories to compare models. StatSci Research Report 17., 1994.
• Russell G. Almond. ElToY: Implementing Bayesian computation through constraints. StatSci Research Report 24, 1994.
• R.G. Almond, J.M. Bradshaw, and D. Madigan. Reuse and sharing of graphical belief network components. In P. Cheeseman and W. Oldford, editors, Selecting Models from Data: Artificial Intelligence and Statistics IV, pages 113–122. Springer-Verlag, 1994.
• Russell G. Almond and D. Madigan. Using Graphical-Belief to predict risk of coronary artery disease. StatSci Research Report 19., 1993.
• Russell G. Almond. An approach to style in data analysis. Technical Report 225, University of Washington, Department of Statistics, 1992.
• Russell G. Almond. Fiducial inference and belief functions. Technical Report 206, University of Washington, Department of Statistics, 1991.
• R.G. Almond and C-T. A. Kong. Some heuristics for building an optimal tree of cliques from a graph or hypergraph. Research Report 329, University of Chicago, Department of Statistics, 1991. Finn Jensen dubbed the tree produced by this algorithm as the "Almond Tree.".
• R[ussell] G. Almond. Fusion and propagation in graphical belief models. In Edward J. Wegman, Donald T. Gantz, and John J. Miller, editors, Computing Science and Statistics: Proceedings of the 20th Symposium on the Interface., pages 365–370. American Statistical Association, 1988.

Technical Reports available through ETS

Also, try going to http://search.ets.org/custres/ and searching for "Almond".

• Russell G. Almond, Joris Mulder, Lisa A. Hemat, and Duanli Yan. Models for local dependence among observable outcome variables. ETS Research Report RR-06-36, Educational Testing Service, 2006.
• Russell G. Almond, Duanli Yan, Alexander Matukhin, and Denise Chang. Statshop testing. ETS RM 06-04, Educational Testing Service, 2006.
• Sandip Sinharay, Russell G. Almond, and Duanli Yan. Assessing fit of models with discrete proficiency variables in educational assessment. Research Report RR-04-07, Educational Testing Service, 2004.
• Duanli Yan, Russell G. Almond, and Robert J. Mislevy. Comparison of two models for cognitive diagnosis. Research Report RR-04-02, Educational Testing Service, 2004.
• Duanli Yan, Robert J. Mislevy, and Russell G. Almond. Design and analysis in a cognitive assessment. Research Report RR-03-32, Educational Testing Service, 2003.

Technical Reports available through CRESST

Also, try going to http://www.cse.ucla.edu/products/reports_set.htm and searching for "Almond".

• R.J. Mislevy, R.G. Almond, and J. Lukas. A brief introduction to evidence-centered design. CSE Technical Report 632, The National Center for Research on Evaluation, Standards, Student Testing (CRESST), 2004. Also ETS Research Report RR-03-16.
• L.S. Steinberg, R.G. Almond, A.B. Baird, C. Cahallan, H. Chernick, L.V. Dibello, A.C.H. Kindfield, R.J. Mislevy, D. Senturk, and D. Yan. Introduction to the biomass project: An illustration of evidence-centered assessment design and delivery capability. CSE Report 609, National Center for Research on Evaluation, Standards, and Student Testing (CRESST)., 2003.
• Robert J. Mislevy, Russell G. Almond, Lou DiBello, Frank Jenkins, Linda S. Steinberg, Duanli Yan, and Deniz Senturk. Modeling conditional probabilities in complex educational assessments. CSE Technical Report 580, The National Center for Research on Evaluation, Standards, Student Testing (CRESST), 2002. Numerical example for testing Ergo.
• R.J. Mislevy, L.S. Steinberg, F.J. Breyer, R.G. Almond, and L. Johnson. Making sense of data from complex assessments. CSE Technical Report 538, The National Center for Research on Evaluation, Standards, Student Testing (CRESST), 2001.
• R.J. Mislevy, R.G. Almond, and L.S. Steinberg. A note on knowledge-based model construction in educational assessment. CSE Technical Report 480, The National Center for Research on Evaluation, Standards, Student Testing (CRESST), 1998. Numerical example for testing Ergo.

Technical Reports and papers available from other sources

Some of these source may require a subscription.

• Russell G. Almond, Linda S. Steinberg, and Robert J. Mislevy. Enhancing the design and delivery of assessment systems: A four-process architecture. Journal of Technology, Learning, and Assessment, 1:(online), 2002.
• D. Madigan, K. Mosurski, and R.G. Almond. Graphical explanation in belief networks. Journal of Computational Graphics and Statistics, 6(2):160–181, 1997.
• J.M. Bradshaw, C.R. Chapman, K.M. Sullivan, R.G. Almond, D. Madigan, D. Zarley, J. Gavrin, J. Nims, and N. Bush. Ks-3000: an application of DDUCKS to bonemarrow transplant patient support. In Proceedings of the Sixth Annual Florida AI Research Symposium (FLAIRS '93), pages 78–83, 1993.