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Author: Curran, Patrick J.

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1.	Biesanz, Jeremy C. Deeb-Sossa, Natalia Papadakis, Alison A. Bollen, Kenneth A. Curran, Patrick J.
1.	The Role of Coding Time in Estimating and Interpreting Growth Curve Models Psychological Methods 9,1 (March 2004): 30-52. Also: http://psycnet.apa.org/journals/met/9/1/30/ Cohort(s): Children of the NLSY79 Publisher: American Psychological Association (APA) Keyword(s): Modeling, Growth Curve/Latent Trajectory Analysis; Weight The coding of time in growth curve models has important implications for the interpretation of the resulting model that are sometimes not transparent. The authors develop a general framework that includes predictors of growth curve components to illustrate how parameter estimates and their standard errors are exactly determined as a function of recoding time in growth curve models. Linear and quadratic growth model examples are provided, and the interpretation of estimates given a particular coding of time is illustrated. How and why the precision and statistical power of predictors of lower order growth curve components changes over time is illustrated and discussed. Recommendations include coding time to produce readily interpretable estimates and graphing lower order effects across time with appropriate confidence intervals to help illustrate and understand the growth process.
	Bibliography Citation Biesanz, Jeremy C., Natalia Deeb-Sossa, Alison A. Papadakis, Kenneth A. Bollen and Patrick J. Curran. "The Role of Coding Time in Estimating and Interpreting Growth Curve Models." Psychological Methods 9,1 (March 2004): 30-52.

2.	Bollen, Kenneth A. Curran, Patrick J.
2.	Latent Curve Models: A Structural Equation Perspective Hoboken NJ: John Wiley & Sons, 2006. Also: http://ebooks.ebookmall.com/ebook/214878-ebook.htm Cohort(s): Children of the NLSY79, NLSY79 Publisher: Wiley Online Keyword(s): Behavior Problems Index (BPI); Family Income; Growth Curves; Modeling, Growth Curve/Latent Trajectory Analysis; Neighborhood Effects; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading); Weight Permission to reprint the abstract has not been received from the publisher. This volume is an eBook: http://ebooks.ebookmall.com/ebook/214878-ebook.htm. This volume represents a comprehensive treatment of a model sometimes referred to as latent curve or growth curve models. Latent Curve Models analyzes LTMs from the perspective of structural equation modeling (SEM) with latent variables. Although the authors discuss simple regression-based procedures that are helpful in the early stages of LTM, most of the presentation will use SEMs as a driving tool throughout the text.
	Bibliography Citation Bollen, Kenneth A. and Patrick J. Curran. Latent Curve Models: A Structural Equation Perspective. Hoboken NJ: John Wiley & Sons, 2006..

3.	Carrig, Madeline Wirth, R. J. Curran, Patrick J.
3.	A SAS Macro for Estimating and Visualizing Individual Growth Curves Structural Equation Modeling: An Interdisciplinary Journal 11,1 (2004); 132-149. Also: http://www.leaonline.com/doi/abs/10.1207/S15328007SEM1101_9 Cohort(s): Children of the NLSY79 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Behavior Problems Index (BPI); Growth Curves; Longitudinal Data Sets; Modeling, Growth Curve/Latent Trajectory Analysis Permission to reprint the abstract has been denied by the publisher.
	Bibliography Citation Carrig, Madeline, R. J. Wirth and Patrick J. Curran. "A SAS Macro for Estimating and Visualizing Individual Growth Curves." Structural Equation Modeling: An Interdisciplinary Journal 11,1 (2004); 132-149.

4.	Curran, Patrick J.
4.	Comparing Three Modern Approaches to Longitudinal Data Analysis: An Examination of a Single Developmental Sample Presented: Washington, DC, Symposium at the Biennial Meeting of the Society for Research in Child Development, April 1997 Cohort(s): Children of the NLSY79 Publisher: Society for Research in Child Development (SRCD) Keyword(s): Behavior Problems Index (BPI); Home Observation for Measurement of Environment (HOME); Modeling, Growth Curve/Latent Trajectory Analysis; Peabody Individual Achievement Test (PIAT- Reading) Permission to reprint the abstract has not been received from the publisher. Introduction Excerpt: The empirical study of human development is mearly synonymous with longitudinal data analysis. To study development over time, one must consider the study of change over time. Despite the critical role longitudinal data analysis plays in the developmental research, how to best accomplish this task has been a long and sometimes hotly debated issue in the social sciences. In addition to the existence of many traditional data analytic techniques, the past decade has given rise to remarkable advances in the development of new and powerful methods for studying change over time. Such developments include latent variable growth modeling, hierarchial linear nodeling, general mixture modeling, generalized estimating equations, and exploratory growth modeling. Symposium participants: Mark Appelbaum, Patrick J. Curran, John J. McArdle, Stephen W. Radenbush, and Michael H. Seltzer. Discussant: C. Hendricks Brown.
	Bibliography Citation Curran, Patrick J. "Comparing Three Modern Approaches to Longitudinal Data Analysis: An Examination of a Single Developmental Sample." Presented: Washington, DC, Symposium at the Biennial Meeting of the Society for Research in Child Development, April 1997.

5.	Curran, Patrick J. Bollen, Kenneth A.
5.	Best of Both Worlds: Combining Autoregressive and Latent Curve Models In: New Methods of the Analysis of Change. A. G. Sayer, ed. Washington, DC: American Psychological Association, 2001: pp. 107-135 Cohort(s): Children of the NLSY79 Publisher: American Psychological Association (APA) Keyword(s): Behavior Problems Index (BPI); Depression (see also CESD); Markov chain / Markov model; Modeling, Fixed Effects; Modeling, Growth Curve/Latent Trajectory Analysis; Statistical Analysis Discusses the autoregressive model (or "fixed effects Markov simplex model") and random coefficient growth curve models as being two analytic approaches to the theoretical conceptualization and statistical analysis of panel data. An extended empirical example is presented in order to illustrate the authors' ongoing efforts to synthesize these two models. They begin with a description of a theoretical substantive question that motivates the development of the synthesized model, they then present a review of the univariate and bivariate autoregressive simplex models followed by a general description of the univariate and bivariate latent curve models. The synthesis of the simplex and latent curve models is proposed for both the univariate and bivariate cases, and these are applied to the empirical data set to evaluate a series of questions relating to the developmental relation between antisocial behavior and depressive symptomatology.
	Bibliography Citation Curran, Patrick J. and Kenneth A. Bollen. "Best of Both Worlds: Combining Autoregressive and Latent Curve Models" In: New Methods of the Analysis of Change. A. G. Sayer, ed. Washington, DC: American Psychological Association, 2001: pp. 107-135

6.	Curran, Patrick J. Harford, Thomas C. Muthen, Bengt O.
6.	The Relation Between Heavy Alcohol Use and Bar Patronage: A Latent Growth Model Journal of Studies on Alcohol 57,4 (July 1996): 410-418. Also: http://www.jsad.com/jsad/article/The_Relation_between_Heavy_Alcohol_Use_and_Bar_Patronage_A_Latent_Growth_M/339.html Cohort(s): NLSY79 Publisher: Center of Alcohol Studies, Rutgers University Keyword(s): Addiction; Alcohol Use; Gender Differences; Hispanics; Marital Status; Modeling; Modeling, Growth Curve/Latent Trajectory Analysis; Racial Differences; Substance Use Permission to reprint the abstract has not been received from the publisher. Data drawn from the National Longitudinal Survey of Youth on 3,071 Ss age 21+ (38% female, 18% black, 13% Hispanic, ∧ 69% Caucasian) were used to estimate models for heavy alcohol use and bar patronage, 1982-1984. Random effects latent growth models indicate that both heavy alcohol use and bar patronage had downward growth trajectories over time, with males reporting higher levels of both at initial interview and smaller decreases over time. Bar patronage tended to encourage heavy alcohol use, particularly among singles & males. Compared to Caucasians, Hispanics reported lower levels of bar patronage & blacks reported lower levels of both heavy alcohol use & bar patronage. 2 Tables, 4 Figures, 34 References. Adapted from the source document. (Copyright 1997, Sociological Abstracts, Inc., all rights reserved.)
	Bibliography Citation Curran, Patrick J., Thomas C. Harford and Bengt O. Muthen. "The Relation Between Heavy Alcohol Use and Bar Patronage: A Latent Growth Model ." Journal of Studies on Alcohol 57,4 (July 1996): 410-418.

7.	Curran, Patrick J. Hussong, Andrea M.
7.	Structural Equation Modeling of Repeated Measures Data: Latent Curve Analysis In: Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications. D.S. Moskowitz and Scott L. Hershberger, eds., Mahwah, NJ: Lawrence Erlbaum Associates, 2000: 59-86 Cohort(s): Children of the NLSY79 Publisher: Lawrence Erlbaum Associates ==> Taylor & Francis Keyword(s): Behavior Problems Index (BPI); Behavior, Antisocial; Home Observation for Measurement of Environment (HOME); Methods/Methodology; Modeling, Growth Curve/Latent Trajectory Analysis; Peabody Individual Achievement Test (PIAT- Reading); Statistical Analysis Permission to reprint the abstract has been denied by the publisher.
	Bibliography Citation Curran, Patrick J. and Andrea M. Hussong. "Structural Equation Modeling of Repeated Measures Data: Latent Curve Analysis" In: Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications. D.S. Moskowitz and Scott L. Hershberger, eds., Mahwah, NJ: Lawrence Erlbaum Associates, 2000: 59-86

8.	Curran, Patrick J. Muthen, Bengt O. Harford, Thomas C.
8.	The Influence of Changes in Marital Status on Developmental Trajectories of Alcohol Use In Young Adults Journal of Studies on Alcohol 59,6 (November 1998): 647-658. Also: http://www.jsad.com/jsad/article/The_Influence_of_Changes_in_Marital_Status_on_Developmental_Trajectories_of/561.html Cohort(s): NLSY79 Publisher: Center of Alcohol Studies, Rutgers University Keyword(s): Alcohol Use; Education; Ethnic Differences; Gender Differences; Marital Disruption; Modeling, Growth Curve/Latent Trajectory Analysis; Racial Differences; Variables, Independent - Covariate; Youth Problems Permission to reprint the abstract has not been received from the publisher. OBJECTIVE: Multiple group latent curve analysis was used to assess the impact of changes in marital status on alcohol use trajectories in young adults and to test if these effects varied across ethnicity and gender. METHOD: Four years of data were obtained from a sample of young adults (N = 4,052; 54% male) drawn from the National Longitudinal Survey of Youth. Alcohol use and marital status were assessed once per year and covariates included age, gender, education and ethnicity. RESULTS: Latent curve models indicated that there was an overall nonlinear negative alcohol use trajectory across the four time points and that becoming married was reliably associated with an added down-turn to this trajectory. Multiple group models indicated that there was an interaction between ethnicity and marital status in the prediction of alcohol growth trajectories, but there was no interaction with gender. CONCLUSIONS: Becoming married for the first time exerted a unique effect on the overall developmental trajectory of alcohol use over time. This effect held for both ethnic groups but was reliably stronger for white compared to black respondents. This interaction may be attributable to lower levels of alcohol use reported by black respondents, or may be related to individual differences in reactivity to social influences by blacks relative to whites.
	Bibliography Citation Curran, Patrick J., Bengt O. Muthen and Thomas C. Harford. "The Influence of Changes in Marital Status on Developmental Trajectories of Alcohol Use In Young Adults." Journal of Studies on Alcohol 59,6 (November 1998): 647-658.

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