Framework for Data Collection and Analysis

Module 1: Ground yourself in research question design, types of data, and examples of found data. Visualize the data generation process, comprehend data curation, and explore access issues and resources. Engage in thought-provoking readings, quizzes, and discussions to enhance your learning experience.

Module 2: Delve into the intricacies of measurements and analysis planning, including issues with inductive reasoning, planning data collection, and the impact of new modes such as web and Google. Broaden your knowledge through enriching readings and quizzes tailored to deepen your understanding.

Module 3: Explore the quality framework encompassing data quality, inference, and the survey lifecycle from various perspectives. Gain insights into quality metrics, coverage, and sampling, and engage with thought-provoking readings and quizzes to reinforce your learning.

Module 4: Apply the TSE framework to existing surveys such as NCVS, NSDUH, SCA, NAEP, and more. Gain valuable insights into alternative data sources and engage in discussions to broaden your understanding of large-scale data collection efforts.