Results 251 to 260 of about 9,315,628 (295)

No reason to sneak: why males of all sizes can breed in the hole-nesting blenny, Aidablennius sphynx

, 2002
Neat, F. C., LOCATELLO, LISA
core  

Some of the next articles are maybe not open access.

Related searches:

An Alternative View on the NEAT Design in Test Equating

Springer Proceedings in Mathematics and Statistics, 2018
Assuming a “synthetic population” and imposing strong assumption to estimate score distributions has been the traditional practice when performing equating under the nonequivalent groups with anchor tests design (NEAT). In this paper, we use the concept of partial identification of probability distributions to offer an alternative to this traditional ...
Ernesto San Martín Gutiérrez, Jorge Gonzalez   +1 more
exaly   +2 more sources

Who Needs Linear Equating Under the NEAT Design?

Measurement, 2010
Test equating under the NEAT design is, at best, a necessary evil. At bottom, the procedure aims to reach a conclusion on what a tested person would have done, if he or she were administered a set ...
Denny Borsboom, Gunter Maris
exaly   +3 more sources

An Evaluation of Five Linear Equating Methods for the NEAT Design

Measurement, 2009
This study uses the results of two previous papers (Kane, Mroch, Suh, & Ripkey, this issue; Suh, Mroch, Kane, & Ripkey, this issue) and the literature on linear equating to evaluate five linear equating methods along several dimensions, including the plausibility of their assumptions and their levels of bias and root mean squared difference (RMSD). The
Andrew A. Mroch, Youngsuk Suh, Michael T. Kane, Douglas R. Ripkey   +3 more
exaly   +2 more sources

An Empirical Comparison of Five Linear Equating Methods for the NEAT Design

Measurement, 2009
In this study, a data base containing the responses of 40,000 candidates to 90 multiple-choice questions was used to mimic data sets for 50-item tests under the nonequivalent groups with anchor test (NEAT) design. Using these smaller data sets, we evaluated the performance of five linear equating methods for the NEAT design with five levels of group ...
Youngsuk Suh, Andrew A. Mroch, Michael T. Kane, Douglas R. Ripkey   +3 more
exaly   +2 more sources

NEAT Particles: Design, Representation, and Animation of Particle System Effects

2007 IEEE Symposium on Computational Intelligence and Games, 2007
Particle systems are a representation, computation, and rendering method for special effects such as fire, smoke, explosions, electricity, water, magic, and many other phenomena. This paper presents NEAT particles, a new design, representation, and animation method for particle systems tailored to real-time effects in video games and simulations.
Kenneth Stanley, Ratan K Guha
exaly   +3 more sources

TESTING THE UNTESTABLE ASSUMPTIONS OF THE CHAIN AND POSTSTRATIFICATION EQUATING METHODS FOR THE NEAT DESIGN

ETS Research Report Series, 2006
ABSTRACTThis paper focuses on the Non‐Equivalent Groups with Anchor Test (NEAT) design for test equating and on two classes of observed—score equating (OSE) methods—chain equating (CE) and poststratification equating (PSE). These two classes of methods reflect two distinctly different ways of using the information provided by the anchor test for ...
Alina von Davier
exaly   +2 more sources

A New Approach to Comparing Several Equating Methods in the Context of the NEAT Design

Journal of Educational Measurement, 2010
The nonequivalent groups with anchor test (NEAT) design involves missing data that are missing by design. Three equating methods that can be used with a NEAT design are the frequency estimation equipercentile equating method, the chain equipercentile equating method, and the item‐response‐theory observed‐score‐equating method.
Sandip Sinharay
exaly   +2 more sources

Equating Subscores under the Nonequivalent Anchor Test (NEAT) Design

Educational Measurement: Issues and Practice, 2011
Gautam Puhan, Longjuan Liang
exaly   +2 more sources