Data Management/Statistics Core

项目总结（见说明）： 在这次更新中，数据管理、测量和统计学（DMMS）核心将集中于四个主要目标：（1）提供跨项目的专家数据输入、管理和统计支持;（2）开发通用的心理测量学方法（特别是吸烟行为和结果的测量），以跨项目使用;（3）实施跨项目，综合分析;（4）提出和发展科学方法来解决与青少年吸烟数据分析有关的关键问题。 (1)支持.与最初的项目一样，我们将开发和维护一个用于数据输入和管理的计算机化数据库，并将开发数据库的详细文件。我们将继续使用严格的数据输入、编辑和更新方法，以确保数据的干净、一致和安全。我们还将为所有项目提供统计支持和合作。 (2)措施我们将在多个时段和多项措施中评估吸烟情况。DMMS核心的一个具体目标是概念化和制定措施，这些措施将（a）有助于识别纵向吸烟模式，（B）有助于解释这些模式发展的背景。 (3)一体化该计划项目的一个关键特征是，除了从其他三个项目的队列子集收集的数据外，还将通过项目1（四次年度评估）中管理的问卷调查获得整个队列的数据。DMMS核心中的一个主要优先事项是开发统计模型，以便对来自许多来源的数据进行综合分析。 (4)发展DMMS核心内的方法学研究将寻求推进吸烟数据分析的实用方法的发展。这些努力将集中在三个主要问题：概念化/组合的多重指标的“依赖性”，个体异质性吸烟发展跨越时间，和表征异质性的影响。

PROJECT SUMMARY (See instructions): In this renewal, the Data Management, Measurement, and Stafistics (DMMS) Core will confinue to focus on four primary aims: (1) to provide expert data entry, management, and stafistical support across projects; (2) to develop common, psychometricahly sound measures (notably measures of smoking behaviors and outcomes) to use across projects; (3) to implement cross project, integrated analyses; and (4) to propose and develop stafisfical approaches to address key issues related to the analysis of adolescent smoking data. (1) SUPPORT. As in the original project, we will develop and maintain a computerized database for data entry and management, and we will develop detailed documentation ofthe database. We will continue to ufilize rigorous methods for data entry, edifing, and updafing to ensure that the data are clean, consistent, and secure. We will also provide stafistical support and collaboration for all projects. (2) MEASURES. We will assess smoking at mulfiple fimes and with mulfiple measures. A specific aim of the DMMS Core is to conceptualize and develop measures that will (a) aid in the identificafion of longitudinal smoking patterns and (b) aid in the interpretafion of contexts in which these patterns develop. (3) INTEGRATION. A key feature of the program project is that data will be available from the full cohort through questionnaires administered in Project 1 (four annual assessments) in addifion 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 stafisfical models that allow integrated analyses of data from many sources. (4) DEVELOPMENT. Methodological research within the DMMS core will seek to advance the development of statisfical approaches for the analysis of smoking data. These efforts will be focused around three primary issues: the conceptualization/combinafion of mulfiple indices of "dependence," individual heterogeneity in smoking development across fime, and characterizing influences of heterogeneity.