Brandon Vaughn - Academia.edu (original) (raw)
Address: Leander, Texas, United States
less
Uploads
Papers by Brandon Vaughn
Computers & Education, 2011
This study examined the impact of animation interactivity on novices' learning of introductory st... more This study examined the impact of animation interactivity on novices' learning of introductory statistics. The interactive animation program used in this study was created with Adobe Flash following Mayer's multimedia design principles as well as Kristof and Satran's interactivity theory. This study was guided by three main questions: 1) Is there any difference in achievement improvement among students who use different interactive levels of an animation program? 2) Is there any difference in confidence improvement among students who use different interactive levels of an animation program? 3) Is there any difference in program perception among students who use different interactive levels of an animation program?
Applied Psychological Measurement, 2010
... Daniel L. Murphy1, Barbara G. Dodd1, and Brandon K. Vaughn1 ... Van der Linden (1998) and van... more ... Daniel L. Murphy1, Barbara G. Dodd1, and Brandon K. Vaughn1 ... Van der Linden (1998) and van der Linden and Pashley (2000) introduced several Bayesian item selection techniques, which make use of the posterior distribu-tion of the examinee's y level in selecting the ...
Educational and Psychological Measurement, 2010
... Corresponding Author: Brandon K. Vaughn, Baker College, 1050 West Bristol Road, Flint, MI 485... more ... Corresponding Author: Brandon K. Vaughn, Baker College, 1050 West Bristol Road, Flint, MI 48507 Email: brandon.vaughn@baker.edu ... differing probabilities of success on an item after being matched on the ability of inter-est (Borsboom, Mellenbergh, & van der Linden, 2002). ...
Journal of Experimental Education, 2008
The authors consider the problem of classifying an unknown observation into 1 of several populati... more The authors consider the problem of classifying an unknown observation into 1 of several populations by using tree-structured allocation rules. Although many parametric classification procedures are robust to certain assumption violations, there is need for classification procedures that can be used regardless of the group-conditional distributions that underlie the model. The authors discuss the tree-structured allocation rule. The tree rule is compared with linear discriminant and logistic regression procedures via Monte Carlo and real data analysis.
Journal of Statistical Planning and Inference, 1997
In this article a multi-stage (M-stage) k-rank nearest-neighbor (k-RNN) rule is used to discrimin... more In this article a multi-stage (M-stage) k-rank nearest-neighbor (k-RNN) rule is used to discriminate an unknown observation into one of two populations (or classes). The asymptotic risk (i.e., the total probability of misclassification (TPMC)) of this rule is derived and shown that. as the number of stages increases, the limiting TPMC of the M-stage k-RNN rule decreases. © 1997 Elsevier Science B.V.
Computers & Education, 2011
This study examined the impact of animation interactivity on novices' learning of introductory st... more This study examined the impact of animation interactivity on novices' learning of introductory statistics. The interactive animation program used in this study was created with Adobe Flash following Mayer's multimedia design principles as well as Kristof and Satran's interactivity theory. This study was guided by three main questions: 1) Is there any difference in achievement improvement among students who use different interactive levels of an animation program? 2) Is there any difference in confidence improvement among students who use different interactive levels of an animation program? 3) Is there any difference in program perception among students who use different interactive levels of an animation program?
Applied Psychological Measurement, 2010
... Daniel L. Murphy1, Barbara G. Dodd1, and Brandon K. Vaughn1 ... Van der Linden (1998) and van... more ... Daniel L. Murphy1, Barbara G. Dodd1, and Brandon K. Vaughn1 ... Van der Linden (1998) and van der Linden and Pashley (2000) introduced several Bayesian item selection techniques, which make use of the posterior distribu-tion of the examinee's y level in selecting the ...
Educational and Psychological Measurement, 2010
... Corresponding Author: Brandon K. Vaughn, Baker College, 1050 West Bristol Road, Flint, MI 485... more ... Corresponding Author: Brandon K. Vaughn, Baker College, 1050 West Bristol Road, Flint, MI 48507 Email: brandon.vaughn@baker.edu ... differing probabilities of success on an item after being matched on the ability of inter-est (Borsboom, Mellenbergh, & van der Linden, 2002). ...
Journal of Experimental Education, 2008
The authors consider the problem of classifying an unknown observation into 1 of several populati... more The authors consider the problem of classifying an unknown observation into 1 of several populations by using tree-structured allocation rules. Although many parametric classification procedures are robust to certain assumption violations, there is need for classification procedures that can be used regardless of the group-conditional distributions that underlie the model. The authors discuss the tree-structured allocation rule. The tree rule is compared with linear discriminant and logistic regression procedures via Monte Carlo and real data analysis.
Journal of Statistical Planning and Inference, 1997
In this article a multi-stage (M-stage) k-rank nearest-neighbor (k-RNN) rule is used to discrimin... more In this article a multi-stage (M-stage) k-rank nearest-neighbor (k-RNN) rule is used to discriminate an unknown observation into one of two populations (or classes). The asymptotic risk (i.e., the total probability of misclassification (TPMC)) of this rule is derived and shown that. as the number of stages increases, the limiting TPMC of the M-stage k-RNN rule decreases. © 1997 Elsevier Science B.V.