P-, Q-, AND R-TECHNIQUES 179 " futile," and to " entail a vast amount of unnecessary labour," because the general abilities revealed and " your * subjective' and 4 objective ' types " can all be reached, " as you have already shown, by the direct and well tried route of correlating tests or traits. As Spearman himself has pointed out, the vital thing in studying types is simply to determine what trait goes with what " (cf. [56], P. 54)- . Now in many instances, as I readily own, to correlate the large number of persons instead of the small number of traits may entail not only a lengthy but a needless detour. But for the two purposes I have mentioned this course seems all but indispensable. Since I hold that a multiplicity of factors is also reached by correlat- ing traits, the mere multiplicity of factors that results from correlat- ing persons does not shake my faith in the validity of the method. Yet it would be a mistake to imagine (as so many others have also done) that more factors must necessarily emerge just because there are more correlations : the rank of a correlation matrix derived from the one and same set of measurements remains the same whether we correlate by persons or by traits. As for the disparity of units, that can be met, as we have just seen, either by standardizing the measurements for each trait (e.g. when dealing with traits that are normally distributed among the persons correlated) or by standard- izing or ranking the measurements for each person (e.g. when dealing with items that have an approximately normal or linear distribution in the sample judged, such as essays by an unselected batch of candidates or a series of specially selected test items spaced out at approximately equal intervals). 3. Confusion between Variable and Population.—A third criticism, perhaps the commonest of all, is that the proposed method of analysis " confuses the distinction between vari- able and population." This has been urged, not only by Stephenson, but by several other critics.1 It is, however, not an objection that should be brought against the pro- cedure itself, but only against the selection of measurements to which the procedure is applied. If we take the term * population' literally, to denote a human population (as, of course, it did in the early days when the statistical terminology was taking shape), the objection may seem plausible. The * population ' from which the sample figures are drawn is con- 1 Stephenson, he. tit. sup., cf. [136], p. 20, [138], p. 275.