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Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently been extended to multilevel or hierarchical linear modeling (HLM) and latent curve analysis (LCA). However, conducting these tests andplotting the conditional… (More)

- Daniel J. Bauer, Kristopher J Preacher, Karen M. Gil
- Psychological methods
- 2006

The authors propose new procedures for evaluating direct, indirect, and total effects in multilevel models when all relevant variables are measured at Level 1 and all effects are random. Formulas are provided for the mean and variance of the indirect and total effects and for the sampling variances of the average indirect and total effects. Simulations show… (More)

- Daniel J. Bauer, Patrick J. Curran
- Psychological methods
- 2003

Growth mixture models are often used to determine if subgroups exist within the population that follow qualitatively distinct developmental trajectories. However, statistical theory developed for finite normal mixture models suggests that latent trajectory classes can be estimated even in the absence of population heterogeneity if the distribution of the… (More)

- Daniel J. Bauer, Patrick J. Curran
- Multivariate behavioral research
- 2005

Many important research hypotheses concern conditional relations in which the effect of one predictor varies with the value of another. Such relations are commonly evaluated as multiplicative interactions and can be tested in both fixed- and random-effects regression. Often, these interactive effects must be further probed to fully explicate the nature of… (More)

- Daniel J. Bauer, Patrick J. Curran
- Psychological methods
- 2004

Structural equation mixture modeling (SEMM) integrates continuous and discrete latent variable models. Drawing on prior research on the relationships between continuous and discrete latent variable models, the authors identify 3 conditions that may lead to the estimation of spurious latent classes in SEMM: misspecification of the structural model, nonnormal… (More)

- Patrick J. Curran, Daniel J. Bauer
- Annual review of psychology
- 2011

Longitudinal models are becoming increasingly prevalent in the behavioral sciences, with key advantages including increased power, more comprehensive measurement, and establishment of temporal precedence. One particularly salient strength offered by longitudinal data is the ability to disaggregate between-person and within-person effects in the regression… (More)

- Jon M. Hussey, Denise Dion Hallfors, Martha W. Waller, Bonita J. Iritani, Carolyn Tucker Halpern, Daniel J. Bauer
- Journal of Immigrant and Minority Health
- 2006

This paper contributes new evidence on the association between immigrant status and health by describing and attempting to explain patterns of co-occurring sex and drug use behaviors among Asian and Latino adolescents in the United States. Nine patterns of sex and drug use behaviors were identified from a cluster analysis of data from 3,924 Asian and Latino… (More)

- Daniel J. Bauer, Andrea Hussong
- Psychological methods
- 2009

When conducting an integrative analysis of data obtained from multiple independent studies, a fundamental problem is to establish commensurate measures for the constructs of interest. Fortunately, procedures for evaluating and establishing measurement equivalence across samples are well developed for the linear factor model and commonly used item response… (More)

- Henly, Daniel J. Bauer, Patrick J. Curran
- 2003

The comments on D. J. Bauer and P. J. Curran (2003) share 2 common themes. The 1st theme is that model-checking procedures may be capable of distinguishing between mixtures of normal and homogeneous nonnormal distributions. Although useful for assessing model quality, it is argued here that currently available procedures may not always help discern between… (More)

- Sonya K . Sterba, Daniel J. Bauer
- Development and psychopathology
- 2010

The person-oriented approach seeks to match theories and methods that portray development as a holistic, highly interactional, and individualized process. Over the past decade, this approach has gained popularity in developmental psychopathology research, particularly as model-based varieties of person-oriented methods have emerged. Although these methods… (More)