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Browsing by Author "Wainer, Howard"

Now showing 1 - 4 of 4
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    On the robustness of a class of naive estimators
    (1979) Wainer, Howard; Thissen, David
    A class of naive estimators of correlation was tested for robustness, accuracy, and efficiency against Pearson’s r. Tukey’s r., and Spearman’s ro. It was found that this class of estimators seems in some respects to be superior being less affected by outliers, reasonably efficient, and frequently more easily calculated. The definition and details of the use of these naive estimators are the subject of this paper.
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    Predicting the impact of simple and compound life change events
    (1978) Wainer, Howard; Timbers, Dianne T.; Hough, Richard L.
    A scale of impact for 95 life change events was determined from a sample of 4 ethnic groups. Fifty-one of these events fit a Rasch model and had the same impact in all four groups (sample free item calibration). The differences among the groups were characterized by individual parameters called "stabilities." A second study was performed that estimated a linear transformation of the impacts to yield an impact scale with ratio properties.
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    The Rasch model as additive conjoint measurement
    (1979) Perline, Richard; Wright, Benjamin D.; Wainer, Howard
    The object of this paper is to present Rasch’s psychometric model as a special case of additive conjoint measurement. The connection between these two areas has been discussed before, but largely ignored. Because the theory of conjoint measurement has been formulated deterministically, there have been some difficulties in its application. It is pointed out in this paper that the Rasch model, which is a stochastic model, does not suffer from this fault. The exposition centers on the analyses of two data sets, each of which was analyzed using Rasch scaling methods as well as some of the methods of conjoint measurement. The results, using the different procedures, are compared.
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    A test of graphicacy in children
    (1980) Wainer, Howard
    A test of graphicacy was developed, administered to third- through fifth- grade schoolchildren, and scored using the Rasch model with Gustafsson’s conditional maximum likelihood estimation method. After removing children with scores at or below chance, the model fit well. It was found that of the four types of displays used (tables, line charts, bar charts, pie charts), the line chart was inferior to the others, which were all equal. There was some interaction between the kind of question asked and the display technique. Third-grade children were much poorer at reading graphs than fourth- or fifth- grade children, but the differences between these latter two groups were modest.