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I would like to use growth mixture trajectory analysis to study the developmental progression of both alcohol and cigarette use. However, I cannot decide how I should examine the relationship between these two variables. Should I treat each one as a time-varying covariate for the other process or is it better to use a dual trajectory approach? — Mixed Up
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 I am interested in examining the role of three variables (family drug use, family conflict and family bonding) as mediators of the effect of neighborhood disorganization on adolescent drug use. I fit a structural equation model, but wonder which of the many fit statistics I should report? — Befuddled by Fit
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I am interested in modeling change over time in risky sexual behavior during adolescence, but I cannot decide how to code my outcome variable. I could create a dummy variable at each time point that indicates whether or not the individual has had intercourse, a count variable for the number of partners, or a continuous measure of the proportion of times they used a condom, but none of these approaches seems to capture the complex nature of the behavior. — Uni Dimensional
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 I am using a latent growth curve approach to model change in problem behavior across four time points. Although my exploratory analyses suggested that a linear growth function would describe individual trajectories well for nearly all of the adolescents in my sample, the overall model fit (in terms of RMSEA and CFI) is poor. Is my model really that bad? — Signed, Fit to be Tied
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I often use fit criteria like AIC and BIC to choose between models. I know that they try to balance good fit with parsimony, but beyond that I’m not sure what exactly they mean. What are they really doing?  Which is better? What does it mean if they disagree? — Signed, Adrift on the IC’s
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 Which is better for handling missing data: maximum likelihood approaches like the one incorporated in the structural equation modeling program AMOS, or multiple imputation approaches like the one implemented in Joe Schafer’s software NORM? — Signed, Not Uniformly There
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I’m analyzing data from a survey and would like to handle the missing values by multiple imputation. Should the survey weights be used as a covariate in the imputation model? — Signed, Weighting for Your Response
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 If I know the cost associated with administering my substance abuse intervention program, how do I determine whether my program was cost-effective? — Signed, Worried about Bottom Line
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I have been hearing a lot lately about propensity scores. What are they, and how can I use them? — Signed, Lost Cause
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