caa a22 4500 38633949X CHVBK 20180307111744.0 cr unu---uuuuu 161130e198910 xx s 000 0 eng 10.1017/S0954579400000523 doi S0954579400000523 pii (NATIONALLICENCE)cambridge-10.1017/S0954579400000523 Partial least squares analysis in developmental psychopathology [Elektronische Daten] Despite extensive theoretical and empirical advances in the last two decades, little attention has been paid to the development of statistical techniques suited for the analysis of data gathered in studies of developmental psychopathology. As in most other studies of developmental processes, research in this area often involves complex constructs, such as intelligence and antisocial behavior, measured indirectly using multiple observed indicators. Relations between pairs of such constructs are sometimes reported in terms of latent variables (LVs): linear combinations of the indicators of each construct. We introduce the assumptions and procedures associated with one method for exploring these relations: partial least squares (PLS) analysis, which maximizes covariances between predictor and outcome LVs; its coefficients are correlations between observed variables and LVs, and its LVs are sums of observable variables weighted by these correlations. In the least squares logic of PLS, familiar notions about simple regressions and principal component analyses may be reinterpreted as rules for including or excluding particular blocks in a model and for "splitting” blocks into multiple dimensions. Guidelines for conducting PLS analyses and interpreting their results are provided using data from the Goteborg Daycare Study and the Seattle Longitudinal Prospective Study on Alcohol and Pregnancy. The major advantages of PLS analysis are that it (1) concisely summarizes the intercorrelations among a large number of variables regardless of sample size, (2) yields coefficients that are readily interpretable, and (3) provides straightforward decision rules about modeling. The advantages make PLS a highly desirable technique for use in longitudinal research on developmental psychopathology. The primer is written primarily for the nonstatistician, although formal mathematical details are provided in Appendix 1. Copyright © Cambridge University Press 1989 Ketterlinus Robert D. National Institute of Child Health and Human Development Bookstein Fred L. University of Michigan Sampson Paul D. University of Washington Lamb Michael E. National Institute of Child Health and Human Development Development and Psychopathology Cambridge University Press 1/4(1989-10), 351-371 0954-5794 1:4<351 1989 1 DPP https://doi.org/10.1017/S0954579400000523 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1017/S0954579400000523 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ketterlinus Robert D. National Institute of Child Health and Human Development NATIONALLICENCE 700 1- Bookstein Fred L. University of Michigan NATIONALLICENCE 700 1- Sampson Paul D. University of Washington NATIONALLICENCE 700 1- Lamb Michael E. National Institute of Child Health and Human Development NATIONALLICENCE 773 0- Development and Psychopathology Cambridge University Press 1/4(1989-10), 351-371 0954-5794 1:4<351 1989 1 DPP CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-cambridge