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positive items and ve for negative items), one would put the item scores on electronic le anyway Raw-Scores PCA The present argument does not prejudice in favor of PCA as it is usually conceived, namely, PCA of z scores or correlation matrices Rather, it refers to raw-scores PCA, with deviation scores and their covariance matrices, or standardized scores and their correlations, as special cases Raw-scores PCA should be performed on bipolar scores; for example, scores on a ve-point scale should be coded as 2, 1, 0, 1, and 2: We (Hofstee, 1990; Hofstee & Hendriks, 1998; Hofstee, Ten Berge, & Hendriks, 1998) have argued that a bipolar representation of personality variables is appropriate, as they tend to come in pairs of opposites Thinking in terms of all-positive numbers is a habit imported from the abilities and achievement domain, where it does not make sense to assign a negative score.

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Raw-scores PCA implies an absolute-scale interpretation of the Likert scale, rather than the conventional interval-scale interpretation These alternative interpretations have subtle consequences for our conception of personality The rst of these concerns the reference point With relative, intervalscale scoring, the population mean is the reference point For desirable traits, that reference point is at the positive side of the scale midpoint (0), and vice versa Thus a person with a score of 8 on a socialness scale with a population mean of 11 (most people being found social), would be said to be somewhat asocial, albeit in a relative sense, which however is the only available interpretation when using interval scaling The unthinking adoption of interval scales from the domain of intelligence and achievement may lead to a bleak view of humankind, whereby a sizable proportion of the population is judged more or less deviant.

A poor comfort is that the proportion is a bit less than 50% because the raw-score distribution is not symmetric Taking the scale midpoint seriously solves the problem; it prevents a positive judgment from being translated into something unfavorable and vice versa, based on an inappropriate convention The second way in which absolute and interval scale conceptions differ concerns spread Using a ve-point scale, most items have standard deviations close to 1, as the prevalent responses are 1 and 1; thus the difference between absolute and interval scaling is not dramatic in this respect But extremely favorable and unfavorable items obtain smaller standard deviations The effect of standard PCA and interval scoring procedures is to increase their impact on the total score It would seem that this is also an unintended consequence rather than a deliberate effect..

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