Predictive Modeling of Multivariable and Multivariate Data

CHAID and Earlier Supervised Tree Methods

“…Press et al (1969) illustrate their IDEA interactive technique with an example of questionnaire data about participation in an uprising. Gillo and Shelly (1974) discuss their multivariate tree method with an example where the outcome vector is the pattern of overall, job and leisure satisfactions. Cellard et al (1967) is an exception in that their illustrations are not in the social science field.…”

“…Messenger and Mandell (1972) and Morgan and Messenger (1973) extended AID for categorical outcome using a so called theta criterion, which resulted in THAID (THeta AID). Gillo (Gillo, 1972;Gillo and Shelly, 1974) extended AID for multivariate quantitative outcome variables (MAID). Press, Rogers, and Shure (1969) developed an interactive tree growing tool allowing multibranching, IDEA (Interactive Data Exploration and Analysis).…”

Digitalization in psychology: A bit of challenge and a byte of success

“…6 Also, concepts such as predictive modeling or artificial intelligence studies are not at all new in psychological science. 7 , 8 …”

“…6 Also, concepts such as predictive modeling or artificial intelligence studies are not at all new in psychological science. 7,8 According to a review conducted during the time of mainframe computers, more than three-quarters of psychology departments (76.1%) in the United States are reported to have a com-puter installed at their department. 9 In parallel, the first major digital computer labs for cognitive psychology were developed Figure 1 including, for example, automated eye tracking systems used for high-quality psychological research.…”

Discussion

“…Secondly, the author also considers tree construction algorithms for predicting count data, censored data, multivariate binary data and longitudinal continuous data (functional data). He may have included, but this is by no means an important flaw, trees for predicting multivariate continuous data (beyond longitudinal data) (Gillo & Shelly, ): indeed, in one of the RECPAM articles (Ciampi et al ., ) that he reviews, there are examples of such trees. Minor details aside, the author commendably transcends the old identification of regression trees with trees to predict a continuous, scalar variable.…”