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In'nami, Yo; Koizumi, Rie – International Journal of Testing, 2013
The importance of sample size, although widely discussed in the literature on structural equation modeling (SEM), has not been widely recognized among applied SEM researchers. To narrow this gap, we focus on second language testing and learning studies and examine the following: (a) Is the sample size sufficient in terms of precision and power of…
Descriptors: Structural Equation Models, Sample Size, Second Language Instruction, Monte Carlo Methods
Duong, Minh Q.; von Davier, Alina A. – International Journal of Testing, 2012
Test equating is a statistical procedure for adjusting for test form differences in difficulty in a standardized assessment. Equating results are supposed to hold for a specified target population (Kolen & Brennan, 2004; von Davier, Holland, & Thayer, 2004) and to be (relatively) independent of the subpopulations from the target population (see…
Descriptors: Ability Grouping, Difficulty Level, Psychometrics, Statistical Analysis
Kim, Se-Kang – International Journal of Testing, 2010
The aim of the current study is to validate the invariance of major profile patterns derived from multidimensional scaling (MDS) by bootstrapping. Profile Analysis via Multidimensional Scaling (PAMS) was employed to obtain profiles and bootstrapping was used to construct the sampling distributions of the profile coordinates and the empirical…
Descriptors: Intervals, Multidimensional Scaling, Profiles, Evaluation
Meyer, Kevin D.; Foster, Jeff L. – International Journal of Testing, 2008
With the increasing globalization of human resources practices, a commensurate increase in demand has occurred for multi-language ("global") personality norms for use in selection and development efforts. The combination of data from multiple translations of a personality assessment into a single norm engenders error from multiple sources. This…
Descriptors: Global Approach, Cultural Differences, Norms, Human Resources