The Center for Applied Psychometric Research

Beretvas, S. N. & Hembry, I. (2013, April). A comparison of models used to describe nonlinear trajectories in multiple baseline design data.Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Beretvas, S. N., Sundar, R., & Hembry, I. (2013, April). Meta-analysis of single-case design studies with multiple baselines across participants and settings. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Chang, W. & Dodd, B. G. (2013, April). A comparison of the MFI and GMIR item selection criteria in computerized adaptive testing using the generalized partial credit model. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Galindo, J. L., Park, R., & Dodd, B. G. (2013, April). The effect of test structure, routing test length, and total test length on multistage testing using the 3PL testlet response theory model. Paper presented at the annual meeting of the National Council on Measurement in Education, San Francisco, CA.

Hembry, I. & Beretvas, S. N. (2013, April). Modeling and comparing the effect of ignoring covarying cross-classified factors’ residuals. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Kim, J., Park, R., Chung, H., Dodd, B. G., & Pituch, K. A. (2013, April). The impact of data format on PROC NLMIXED estimation of item response theory parameters. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Leroux, A. & Dodd, B. G. (2013, April). A comparison of stopping rules for computerized adaptive screening measure using the Rasch model.Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Moyer, E. L. & Dodd, B. G. (2013, April). Effects of computer adaptive testing stopping rules on precision and efficiency. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

Park, R., Pituch, K. A., Kim, J., Dodd, B. G., & Chung, H. (2013, April). Marginal maximum likelihood estimation of parameters for the 1PL–AG IRT model. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.