Machine generated contents note:
pt. I Methodological Aspects
1.Exploratory Data Mining Using Decision Trees in the Behavioral Sciences / John J. McArdle
2.CHAID and Earlier Supervised Tree Methods / Gilbert Ritschard
3.The Potential of Model-based Recursive Partitioning in the Social Sciences: Revisiting Ockham's Razor / Carolin Strobl
4.Exploratory Data Mining with Structural Equation Model Trees / Ulman Lindenberger
5.Validating Tree Descriptions of Women's Labor Participation with Deviance-based Criteria / Pau Origoni
6.Exploratory Data Mining Algorithms for Conducting Searches in Structural Equation Modeling: A Comparison of Some Fit Criteria / Walter Leite
7.A Simulation Study of the Ability of Growth Mixture Models to Uncover Growth Heterogeneity / Lawrence L. Lo
8.Mining for Association Between Life Course Domains / Cees H. Elzinga
9.Exploratory Mining of Life Event Histories / Matthias Studer
pt. II Applications
Contents note continued:
10.Clinical versus Statistical Prediction of Zygosity in Adult Twin Pairs: An Application of Classification Trees / Carol A. Prescott
11.Dealing with Longitudinal Attrition Using Logistic Regression and Decision Tree Analyses / John J. Mcardle
12.Adaptive Testing of the Number Series Test Using Standard Approaches and a New Decision Tree Analysis Approach / John J. Mcardle
13.Using Exploratory Data Mining to Identify Academic Risk among College Student-Athletes in the United States / Thomas S. Paskus
14.Understanding Global Perceptions of Stress in Adulthood through Tree-Based Exploratory Data Mining / Lindsay Pitzer
15.Recursive Partitioning to Study Terminal Decline in the Berlin Aging Study / Paolo Ghisletta
16.Predicting Mortality from Demographics and Specific Cognitive Abilities in the Hawaii Family Study of Cognition / John J. Mcardle
Contents note continued:
17.Exploratory Analysis of Effects of Prenatal Risk Factors on Intelligence in Children of Mothers with Phenylketonuria / Kevin J. Grimm.
