SHARP Lab Resources


  1. American National Election Studies (ANES) (SHARP currently has geospatial access.)
  2. General Social Survey (GSS) (SHARP currently has geospatial access.)
  3. SHARP has proprietary representative surveys of the U.S. collected between 1999 and 2016, gauging community levels of numerous health-related variables (e.g., stress, anxiety, depression) and with geocodes.
  4. SHARP also has numerous databases related to health promotion efforts, especially those pursuing behavioral strategies.
  5. Social Explorer (Use for U.S. census variables over time; it offers coarse to specific spatial resolution over time; UConn affiliates, the VPN will let you use UConn’s institutional subscription, if off campus; this link goes directly to the resource)
  6. The Equality of Opportunity Project (economic trends in US, county-level data, 2014)
  7. American Community Surveys
  8. World Value Surveys (nation-level, individual data; recent years for the U.S. have state)
  9. Uniform Crime Reporting Program Data: U.S. Hate Crime Data, 2012 (County-level geocodes)
  10. CDC Behavioral Risk Factor Surveillance System (BRFSS) (Geocodes for most places)
  11. CDC Youth Risk Behavior Surveillance System (YRBSS) (Geocodes for many larger cities)
  12. National College Health Assessment (NCHA) (Census region geocodes)
  13. National Health and Nutrition Examination Survey (NHANES)
  14. National Longitudinal Surveys (NLS)
  15. VITamins And Lifestyle (VITAL) Study: A Cohort Study of Dietary Supplements and Cancer Risk (US-census blocks geocodes)
  16. National Longitudinal Study of Adolescent to Adult Health (Add Health)
  17. Fragile Family and Child Well-being (FFCW) study
  18. Health Behaviors in School Aged Children (HBSC)
  19. American Changing Lives Survey (ACL)
  20. National Comorbidity Survey (NCS)
  21. China Family Panel Studies (CFPS) (Province-level geocodes)
  22. Chinese General Social Survey (CGSS) (County-level geocodes)
  23. Study of Early Child Care and Youth Development (SECCYD)
  24. Study of Women’s Health Across the Nation (SWAN)
  25. Health Information National Trends Survey (HINTS)
  26. Gallup-Healthways Well-Being Index (GHWBI)
  27. Health and Retirement Study (HRS)
  28. Cape Area Panel Study (CAPS)
  29. Drug Abuse Statistics
  30. National Survey on Drug Use and Health (NSDUH)
  31. National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)
  32. NASA’s Shuttle Radar Topography Mission (SRTM, for topography or elevation around the Earth)
  33. Amazon Public Datasets
  34. Listing of public databases with instructions for analyses using R
  35. (~200k databases)
  36. SEER cancer-related databases (NCI)
  37. U.S. Church Membership Data (ARDA)
  38. Pew Polls
  39. Roper Center Public Opinion Archives (UConn affiliates, use VPN if off-campus)
  40. Gapminder’s compilation of databases (519 nation-level indicators, as of 15 Apr 2018)
  41. MAGIC at UConn

Statistics Help

  1. Joining databases using SPSS
  2. Joining databases using Stata
  3. Online coursera class on learning R
  4. R programming in one hour – a crash course for beginners
  5. Fitting and visualizing linear regression models with the ggplot2 R package (CC237)
  6. DataCamp

Prof. Johnson on the Web

  1. Prof. Johnson’s page on the UConn Social Psychology website
  2. Prof. Johnson’s publications on Google Scholar
  3. Prof. Johnson’s pages on the Social Psychology Network
  4. Prof. Johnson’s work on ResearchGate
  5. Prof. Johnson’s April, 2015. TedXUConn talk on Youtube: Applying the Network Individual Resource Model to Public Health (11:07)
  6. Prof. Johnson’s blog focused on meta-analysis; e.g., the “meta-analysis is the original big data” (2013) and the importance of theory-based models of data (2014)
  7. Prof. Johnson on YouTube: Modeling Effect Sizes Using Stata: Heterogeneity and the Moving Constant Technique (02 April 2014) (51:31)
  8. Prof. Johnson on YouTube: Running the Wilson Macros for Meta-Analysis in SPSS (01 April 2014) (24:46)

Physical Resources

  1. SHARP currently has research space in CHIP (Ryan Refectory).
  2. And in the Department of Psychological Sciences (Bousfield Hall).
  3. It has numerous computers and excellent IT support.


  1. Why do we use only two decimal places to represent year, when it has four places? (4:28 YouTube video)
  2. UConn’s Naxos Music Library