Social-Emotional Contexts of Adolescent Smoking Patterns (2): Data Management, Measurement, and Statistics Core


This Data Management, Measurement, and Statistics (DMMS) Core supports the continued program project by focusing on four primary aims:

  1. To provide expert data entry, management, and statistical support across projects
  2. To develop common, psychometrically sound measures (notably measures of smoking behaviors and outcomes) to use across projects
  3. To implement cross project, integrated analyses
  4. To develop statistical approaches to address key issues related to the analysis of adolescent smoking data.
  1. PURPOSE. As in the original project, we are developing and maintaining a computerized database for data entry and management, and we are developing detailed documentation of the database. We continue to utilize rigorous methods for data entry, editing, and updating to ensure that the data are clean, consistent, and secure. We also provide statistical support and collaboration for all projects.
  2. MEASURES. We are assessing smoking at multiple times and with multiple measures. A specific aim of the DMMS Core is to conceptualize and develop measures that aid in
    • The identification of longitudinal smoking patterns
    • The interpretation of contexts in which these patterns develop
  3. INTEGRATION. A key feature of the program project is that data are available from the full cohort through questionnaires administered in Project 1 (four annual assessments) in addition to data collected from subsets of the cohort in each of the other three projects. A major priority within the DMMS Core is to develop statistical models that allow integrated analyses of data from many sources.
  4. DEVELOPMENT. Methodological research within the DMMS core seeks to advance the development of statistical approaches for the analysis of smoking data. These efforts focus around three primary issues: the conceptualization/combination of multiple indices of "dependence," individual heterogeneity in smoking development across time, and characterizing influences of heterogeneity.

This core supports a research program project:

Social-Emotional Contexts of Adolescent and Young Adult Smoking Patterns
Funding Agency

National Cancer Institute (Grant No. 2P01CA098262-06A1)

Principal Investigator

Donald Hedeker, PhD


Michael L. Berbaum, PhD

Start date
End date
About this grant

This is a core within a program project, Social-Emotional Contexts of Adolescent and Young Adult Smoking Patterns (2), whose principal investigator is Robin J. Mermelstein, PhD.

Related publications

Hedeker D. Methods for multilevel ordinal data in prevention research. Prev Sci. 2015 Oct;16(7):997-1006. [See abstract.]

Kapur K, Li X, Blood EA, Hedeker D. Bayesian mixed-effects location and scale models for multivariate longitudinal outcomes: an application to ecological momentary assessment data.  Stat Med. 2015 Feb 20;34(4):630-51. [See abstract.]

Pugach O, Hedeker D, Richmond MJ, Sokolovsky A, Mermelstein R. Modeling mood variation and covariation among adolescent smokers: application of a bivariate location-scale mixed-effects model. Nicotine Tob Res. 2014 May;16 Suppl 2:S151-8. [See abstract.]

Hedeker D, Nordgren R. MIXREGLS: A program for mixed-effects location scale analysis. J Stat Softw. 2013 Mar;52(12):1-38. [See abstract.]

Li X, Hedeker D. A three-level mixed-effects location scale model with an application to ecological momentary assessment data. Stat Med. 2012 Nov 20;31(26):3192-3210. [See abstract.]