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• W212789411 abstract "This study involved an investigation of the use of Pearson r, tetrachoric r, 15 /./6 ax, and Kendall Tau-B coefficients as measures of association for the incomplete principal components analysis of simulated Likert scale attitudinal data, based on a known factor pattern and possessing different types of severe departures from normality. The results suggested that in addition to being based on few assumptions, Tau-B was most robust, with respect to distributional distortion, with large or small samples, and this coefficient was followed by the Pearson r. The measures based on 2 x 2 tables-tetrachoric r, 15 and Ajx $ --tended to be less robust and were seen to be -ma adversely affected by uneven marginal splits, a condition generally present with Likert scale data. SOME NOTES ON THE CHOICE OF MEASURE OF ASSOCIATION FOR THE COMPONENT ANALYSIS OF LIKERT SCALE DATA1 LAURISTON L. KEOWN and A. RALPH HAKSTIAN University of Alberta One of the most common summative scales for the measurement of attitudes is that known as the Likert scale, in which the respondent indicates his degree of agreement with a particular statement by checking his position on a fiveor seven-point continuum (scales with varying numbers of points have been used, but the issue of the optimal number of scale values has been treated elsewhere and is not of interest in the present paper). Often those engaged in research on attitudes and, in particular, in development of attitude measures use correlational and factor analytic procedures to identify homogeneous and theoretically interesting groupings of such scaled items, and the question arises as to the most defensible procedures for such analyses. To begin with, what assumptions can we make regarding the level of measurement scale with such data? Also, what underlying distributional assumptions are warranted? As Carroll (1961) clearly noted, there is nothing preventing our calculating a Pearson product-moment correlation coefficient, for example, on any set of data, but the interpretation that attaches to the resulting number has much to do with how closely the data conform to an appropriate statistical" @default.
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• W212789411 title "Some Notes on the Choice of Measure of Association for the Component Analysis of Likert Scale Data." @default.
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