Multilevel modeling (MLM) is frequently used to detect cluster-level group differences in cluster randomized trial and observational studies. Group differences on the outcomes (posttest scores) are detected by controlling for the covariate (pretest scores) as a proxy variable for unobserved factors that predict future attributes. The pretest and…

Automatic coding of short text responses opens new doors in assessment. We implemented and integrated baseline methods of natural language processing and statistical modelling by means of software components that are available under open licenses. The accuracy of automatic text coding is demonstrated by using data collected in the "Programme…

Multilevel data structures are ubiquitous in the assessment of differential item functioning (DIF), particularly in large-scale testing programs. There are a handful of DIF procures for researchers to select from that appropriately account for multilevel data structures. However, little, if any, work has been completed to extend a popular DIF…

A strategy for reordering the hierarchical tree structure is presented. While the order of terminal nodes of Johnson's procedure is arbitrary, this procedure will rearrange every triad of nodes under a common least upper node so that the middle node is nonarbitrarily closest to the anchored node. (Author/CTM)

Recent trends in the analysis of categorical or nominal variables were discussed for univariate, multivariate, and psychometric problems. It was shown that several statistical procedures commonly used with these problems have analogues which can be applied to assessing categorical variables. (Author/CTM)

Construct validity was demonstrated for sixteen career subclusters through factor analysis of an occupational inventory based on interests in professional level job activities. (Author/LMO)

Relative difficulty of Separate (Form S) and Grouped (Form G) True-False tests may be expected to be dependent on the ability levels of examinees. At some levels Form S should be less difficult, at others equally difficult, and at still others, more difficult, than Form G. (Author/RL)

This study (1) provided evidence concerning the construct validity of scales based on the clusters found in a revised, professional-level form of the California Occupational Preference System Interest Inventory and (2) examined the degree of internal consistency of the 16 newly devised subscales. (Author/PN)