Titlebook: Quantitative Psychology Research; The 78th Annual Meet Roger E. Millsap,Daniel M. Bolt,Wen-Chung Wang Conference proceedings 2015 Springer

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Jiahe Qian,Alina A. von Davieremory and most importantly the network bandwidth. When seen at Internet scale, a tiny wastage in a resource can translate into a huge loss. For instance, we will show that youtube.com homepage can potentially save up to 4500 GB worth of bandwidth every day! It is, therefore, important for the applic

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Anton A. Béguin,Saskia Woolse new digital media has brought far-reaching changes in this sector. This research is one of the first studies that analyse online press reader behaviour on the Internet. Thus, this research studies the key factors that could influence on the choice of digital newspapers. More specifically, this stu

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New Item-Selection Methods for Balancing Test Efficiency Against Item-Bank Usage Efficiency in CD-Curpose of this study. We have developed several item-selection methods that successfully meet this goal. In addition, we have investigated the Kullback–Leibler expected discrimination (KL-ED) method that considers only measurement precision except for item-bank usage.

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Comparison of Linear, Computerized Adaptive and Multi Stage Adaptive Versions of the Mathematics Asnatively, a multi stage scenario was designed to compare the efficiency of CAT and MSAT. Examinees were administered a fixed subtest with 15 items followed by two subtests having ten items each. Using MSAT in TPMS seemed to be producing more valid results in terms of content sampling than CAT.

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Thurstonian Item Response Theory and an Application to Attitude Items,y it is seldom used, partly because judges are needed to assess the location of an item, but also because of the emergence of contemporary tools such as the IRT. The current work is motivated by a study that assesses medical students’ attitudes toward obese patients. During the item-development phas

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Robustness of Mixture IRT Models to Violations of Latent Normality,when subpopulations are suspected. The usual mixture IRT model is typically estimated assuming normally distributed latent ability. Research on normal finite mixture models suggests that latent classes potentially can be extracted even in the absence of population heterogeneity if the distribution o

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