Hierarchical Linear Models I ICPSR 2014

The hierarchical linear model provides a conceptual framework and a flexible set of analytic tools to study a variety of social, political, and developmental processes. One set of applications focuses on data in which persons are clustered within social contexts such as couples, families, classrooms, schools, or neighborhoods. Interest may center on the magnitude of social contextual effects on individual outcomes, the context specific relationships between person background and person outcomes, or interactions between features of social context and person background. A second set of applications concerns individual growth or change over time. Interest focuses on the shape of the mean growth trajectory, the variability in individual trajectories, and person-level characteristics that predict differences in growth curves. A third set of applications combines the first two types: persons changing over time who are also nested within social context. The goal is to assess the interactive effects of personal background and social context on trajectories of individual development.

[1]  S. Raudenbush,et al.  Measurement and structural models for children's problem behaviors. , 2000, Psychological methods.

[2]  S. Raudenbush,et al.  Empirical Bayes Meta-Analysis , 1985 .

[3]  A. Goldberg,et al.  Lesbian Couples’ Relationship Quality Across the Transition to Parenthood , 2006 .

[4]  H. Reis,et al.  Modeling growth and change processes: Design, measurement, and analysis for research in social psychology , 2000 .

[5]  Daniel J. Bauer,et al.  The disaggregation of within-person and between-person effects in longitudinal models of change. , 2011, Annual review of psychology.

[6]  Robert T. Brennan,et al.  The Relative Equitability of High-Stakes Testing versus Teacher-Assigned Grades: An Analysis of the Massachusetts Comprehensive Assessment System (MCAS) , 2001 .

[7]  S. Raudenbush,et al.  Neighborhoods and violent crime: a multilevel study of collective efficacy. , 1997, Science.

[8]  S. Raudenbush,et al.  A multivariate mixed linear model for meta-analysis. , 1996 .

[9]  Michael Seltzer,et al.  Studying Variation in Program Success , 1994 .

[10]  J Kyle Roberts,et al.  Demonstration of software programs for estimating multilevel measurement model parameters. , 2005, Journal of applied measurement.

[11]  Stephen W. Raudenbush,et al.  A Crossed Random Effects Model for Unbalanced Data With Applications in Cross-Sectional and Longitudinal Research , 1993 .

[12]  K. Lyons,et al.  Longitudinal Dyad Models in Family Research , 2005 .

[13]  Stephanie T. Lanza,et al.  Changes in children's self-competence and values: gender and domain differences across grades one through twelve. , 2002, Child development.

[14]  M. Perry‐Jenkins,et al.  Sense of control predicts depressive and anxious symptoms across the transition to parenthood. , 2008, Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association.

[15]  Russell W. Rumberger,et al.  Dropping Out of Middle School: A Multilevel Analysis of Students and Schools , 1995 .

[16]  A. Sayer,et al.  Analyzing Couples and Families: Multilevel Methods. , 2005 .

[17]  S. Loeb,et al.  Contextual effects of prekindergarten classrooms for disadvantaged children on cognitive development: the case of Chapter 1. , 1998, Child development.

[18]  Stephen W. Raudenbush,et al.  A multivariate hierarchical model for studying psychological change within married couples. , 1995 .

[19]  Robert J. Sampson,et al.  6. A Multivariate, Multilevel Rasch Model with Application to Self-Reported Criminal Behavior , 2003 .

[20]  P. Pietromonaco,et al.  Dating couples' attachment styles and patterns of cortisol reactivity and recovery in response to a relationship conflict. , 2006, Journal of personality and social psychology.

[21]  A Sayer,et al.  Children with disabilities: a longitudinal study of child development and parent well-being. , 2001, Monographs of the Society for Research in Child Development.

[22]  A. Bryk,et al.  Early vocabulary growth: Relation to language input and gender. , 1991 .

[23]  J. Shonkoff,et al.  Family influences on adaptive development in young children with Down syndrome. , 1999, Child development.

[24]  K. Lyons,et al.  Caregiving as a dyadic process: perspectives from caregiver and receiver. , 2002, The journals of gerontology. Series B, Psychological sciences and social sciences.

[25]  D. Wayne Osgood,et al.  CRIMINAL CAREERS IN THE SHORT-TERM: INTRA-INDIVIDUAL VARIABILITY IN CRIME AND ITS RELATION TO LOCAL LIFE CIRCUMSTANCES* , 1995 .

[26]  Karl J. Friston,et al.  Hierarchical Models , 2003 .

[27]  Stephen W. Raudenbush,et al.  Neighborhood Effects on Educational Attainment: A Multilevel Analysis. , 1991 .

[28]  S. Raudenbush,et al.  Gender and the relationship between job experiences and psychological distress: a study of dual-earner couples. , 1993, Journal of personality and social psychology.

[29]  Craig K. Enders,et al.  Centering predictor variables in cross-sectional multilevel models: a new look at an old issue. , 2007, Psychological methods.

[30]  S. Raudenbush,et al.  Application of a hierarchical linear model to the study of adolescent deviance in an overlapping cohort design. , 1993, Journal of consulting and clinical psychology.

[31]  Stephen W. Raudenbush,et al.  1. Ecometrics: Toward a Science of Assessing Ecological Settings, with Application to the Systematic Social Observation of Neighborhoods , 1999 .

[32]  S. Raudenbush,et al.  Application of a hierarchical linear model to the study of adolescent deviance in an overlapping cohort design. , 1993 .

[33]  F. Earls,et al.  Assessing exposure to violence using multiple informants: application of hierarchical linear model. , 2000, Journal of child psychology and psychiatry, and allied disciplines.