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Statistics Links

General/Power Analysis

Mediation

Dyadic Analysis

Structural Equation Modeling (SEM)

  • http://davidakenny.net/cm/causalm.htm
    David Kenny's page provides a basic tutorial on structural equation modeling or SEM including: terminology, path analysis, instrumental variable estimation, multiple factor models, identification, measuring fit, and multiple groups analysis.
  • http://www2.gsu.edu/~mkteer/semfaq.html
    Ed Rigdon's page which contains links and a tutorial on common SEM questions including: fit functions, categorical/ordinal data, model comparison strategies, power, reporting standards for SEM, missing data techniques, and modeling interactions.
  • http://www2.gsu.edu/~mkteer/semnet.html
    SEMNET is a listserve for SEM users and people who want to ask questions or have SEM problems. The listserve allows you to post questions and or participate in discussions about SEM. Some of the best known SEM are regular participants in the listserve.
  • http://www.upa.pdx.edu/IOA/newsom/semrefs.htm
    Complete reference and bibliography for every important topic on SEM.

Multilevel Modeling

  • http://www.jiscmail.ac.uk/lists/MULTILEVEL.html
    Multilevel modeling listserve for people who want to ask questions or have multi-level analysis problems. The listserve allows you to post questions and or participate in discussions about Multilevel issues.
  • http://stat.gamma.rug.nl/
    Multilevel link site, that contains information about books, software, and websites pertaining to multilevel modeling.

Latent Class Analysis

CIRA BULLETIN
Check the latest CIRA news, meetings & announcements.

YACS@CIRA
Did you miss any of our '07-'08 YACS@CIRA seminars? Archived Webcasts are available for streaming along with PowerPoint slides for each presentation.

GRANT OPPORTUNITIES
The Bill & Melinda Gates Foundation is now accepting grant proposals for the first round of Grand Challenges Explorations, a new $100 million global health initiative.

CORE SERVICES
CIRA's Core Services are aimed at encouraging the development of new scientists conducting HIV prevention research and enhancing the quality of new and ongoing HIV prevention research at Yale.