Statistics Links
General/Power Analysis
- http://statpages.org/
Overall links site that contains links to stats books, software, online computational pages, random # generators, and power analysis.
- http://www.theresearchassistant.com/research/link.asp#chart
Site that gives information about which statistical analysis is appropriate for your study design.
- http://dss.princeton.edu/online_help/analysis/analysis.htm
Site gives tutorial and links on a variety of topics including regression, time series data, and panel data.
- http://www.r-project.org
Link to the free software package R.
- http://www.graphpad.com/quickcalcs/
Online statistical calculations for a variety of analyses including: Chi square, McNemar's, number needed to treat, detecting outliers, t-tests, distribution generators, and random number generators.
- http://www.tufts.edu/~gdallal/LHSP.HTM
Site gives tutorial and links on a variety of topics including regression, ANOVA, assumptions, and general basic techniques.
- http://www.graphpad.com/quickcalcs/
Online textbook that covers most introductory stats topics including: assumptions, distribution, ANOVA , chi-square, and power analysis. Also, has extensive links.
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
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