Data (Quantitative and Qualitative)
For general methods resources, visit the Methods page. For resources specifically on Qualitative Methods and Statistical Analysis, visit those respective pages. For advice on doing presentations and writing for public audiences, visit the Writing and Presentations page.
Data sources
General resources
VCU Libraries: Sociology Research Guide
Data Sources | Data & Statistics Research Guide | Databases (full listing of data repositories)
Data repositories
data.gov (repository of US federal, state, local, and tribal data)
Harvard's Henry A. Murray Research Archive (qualitative data)
University of California, Irvine (UCI) Network Data Repository
University of California, Berkeley SDA: Survey Documentation and Analysis (online data analysis tool for multiple datasets)
Pew Research Center (free account required to download datasets)
Datasets
Censuses:
U.S. Census | data.census.gov (main data page) | American Community Survey (ACS) (largest U.S. Census survey, with ongoing monthly data on ancestry, educational attainment, income, migration, disability, employment, and housing)
Integrated Public Use Microdata Series (IPUMS) | IPUMS USA (numerous datasets based on census individual records for the U.S. and other nations)
General/Omnibus (Cross-sectional):
General Social Survey (US) | FAQ | weights
Eurobarometer (European nations)
International Social Survey Programme (international, with modules on specific issues)
Survey Center on American Life (a project of the American Enterprise Institute)
World Values Survey (all regions of world)
General/Omnibus (Longitudinal):
Longitudinal Study of Generations: longitudinal study of four generations of California families begun in 1971
National Longitudinal Surveys: Bureau of Labor Statistics surveys dealing with major life events and labor-market activities; includes National Longitudinal Studies of Youth
Panel Study of Income Dynamics (PSID): follows same American families and their descendants since 1968; various supplemental modules
Wisconsin Longitudinal Study (WLS): survey of men and women who graduated from Wisconsin high schools in 1957
Crime (U.S.):
The Violence Project (mass public shootings in the United States since 1966)
Economic (U.S.):
Annual Social and Economic Supplement (ASEC) (annual survey focused on income and poverty conducted by the US Census)
Bureau of Labor Statistics (US data on employment, labor unions, etc.)
Current Population Survey [data files] (monthly survey of households focused on employment and conducted by the US Census for the BLS) | Labor Force Statistics (BLS-curated statistics by age, education, gender, marital status, race, etc.)
Survey of Consumer Finances (U.S. Federal Reserve survey of family savings, income, pensions, etc.)
Survey of Income and Program Participation (U.S. Census panel survey on household income and participation in income-transfer programs)
U.S. Department of Agriculture (USDA) Atlas of Rural and Small-Town America (county-level data on jobs, income, etc.)
Economic (Global):
Global Repository of Income Dynamics (GRID): open-access dataset with administrative panel data (e.g., Social Security and tax records) harmonized across 13 countries (including the U.S., Argentina, Brazil, Canada, Mexico, and European countries) on income inequality, income volatility, economic mobility, and other income dynamics
LIS Cross-National Data Center | Luxembourg Income Study (harmonized microdata from about 50 countries in Europe, North America, Latin America, Africa, Asia, and Australasia spanning five decades) | Luxembourg Wealth Study (first cross-national wealth database in existence)
Education:
American Freshman Survey (first-year students at colleges and universities)
Early Childhood Longitudinal Program (ECLS) (longitudinal studies examining child development, school readiness, and early school experiences of children followed from kindergarten or earlier)
High School & Beyond (longitudinal study following 10th and 12th graders in 1980)
Program for International Student Assessment (international survey of student performance in math, science, and reading)
Virginia Longitudinal Data System (education and workforce development)
Environment:
Families:
Changing Lives of Older Couples (spousal bereavement)
Fragile Families and Child Wellbeing Study (longitudinal, focus on unmarried parents and children)
Longitudinal Study of Generations (longitudinal study of four generations of California families begun in 1971)
National Survey of Family Growth (NSFG) (family life, marriage/divorce, pregnancy, infertility, use of contraception, and men’s and women’s health)
Wisconsin Study of Families and Work (longitudinal study of work-family balance and children’s socio-emotional development)
Health (U.S., Cross-sectional):
Behavioral Risk Factor Surveillance System (BRFSS) (CDC state-based survey on health-related risk behaviors, chronic health conditions, and use of preventive services)
Health and Retirement Study (data on aging in America since 1990)
Medical Expenditure Panel Survey Household Component (MEPS HC)
National Health Interview Survey (NHIS) (tracking health status and health care access since 1957)
Youth Risk Behavior Surveillance System (YRBSS) (CDC survey of health-risk behaviors among youth and young adults)
Health (U.S., Longitudinal):
Midlife in the United States (MIDUS) (national longitudinal study of health and well-being)
National Longitudinal Study of Adolescent to Adult Health (Add Health)
National Social Life, Health, and Aging Project (NSHAP) (longitudinal study of health and social well-being of older Americans)
Health (Global):
Demographic and Health Surveys Program (USAID-sponsored program with global data on fertility, family planning, maternal and child health, gender, HIV/AIDS, malaria, and nutrition)
Gateway to Global Aging Data (population survey data on aging around the world)
Internet and Social Media:
Pew Internet & Tech Datasets (Core Trends Survey has Social Media use data)
Media/Publications:
Organizations:
History of Capitalism (corporations)
Oral Histories:
Shoah Foundation (Holocaust survivors)
Advice on finding datasets
Strategy 1: Use relevant questions from a popular dataset
To find a dataset relevant to your research project, a good place to start is the list of popular datasets above (under Datasets). Also, under General resources you will see a number of links to pages on the VCU Libraries site that have other suggestions for frequently used datasets.
Codebooks/questionnaires should be available on each survey’s website. Some regularly conducted surveys will have modules on specific topics. For instance, the General Social Survey asks many of the same questions every time it is fielded, but it will occasionally ask a set of questions about beliefs about science, views on the economy, etc., just for that year’s survey. Browse a survey’s website to find out what modules or supplements it has done.
The data on a survey's website may or may not be in SPSS format, and getting access to some datasets may require registration. Let your professor know if you need help.
Strategy 2: Search for a dataset focused on your topic
In the Data repositories section above you will find a number of online catalogs where you can search for and download relevant datasets. Below are instructions on how to use ICPSR, which stores datasets on a wide range of social-science topics:
You will need to register for a free ICPSR account to access the data. When registering, make sure to use your VCU email address so that you have university privileges and can get access to more of the data. (Note: You have to be connected to the VCU network to access certain datasets on ICPSR.) During the registration, it will ask you if you want to "allow your campus Official Representative (OR) to view your name and email address"; choose whichever option you prefer, as it does not matter. You will receive an email from ICPSR that you will need to click on in order to activate your account; check your spam folder if you do not receive it.
Use the search engine under Find Data to find datasets, which you can then download. Click on the name of the study in the search results. You will want to skim the description of the study, particularly any details about the survey’s sample and its questions. You will also want to look at the survey’s questionnaire and/or codebook. (A questionnaire—also known as an interview protocol, interview schedule, or survey instrument—has a list of all the questions in the survey; a codebook has a list of all the variable names corresponding to those questions. Sometimes the two are combined into a single codebook file.) Questionnaires and codebooks are usually provided on the study’s ICPSR page, or you can just Google them: search for the name of the study and “questionnaire” or “codebook.”
On ICPSR, you can choose to download the dataset along with the study’s questionnaire/codebook all at once, or just the questionnaire/codebook by itself (which makes sense if the dataset is large). Click on the Download button and select either SPSS (to download both) or Documentation Only (to download just the questionnaire/codebook). If there is a list of multiple datasets and questionnaires to choose from, pick the one that seems most relevant to you, choose the most recent year, or just go with the general one that includes most or all of the data (called “main data,” “main study,” etc.).
You will need to click agree on the Terms of Use page that appears. Then the file(s) will be downloaded in a compressed file. You will need to extract its contents. In Windows, just right-click the file and then select Extract All. Put it on your Desktop or wherever you wish. In a Mac, double-click the file to extract it. The extracted data file will be in a folder called ICPSR_[some number]. You will have to click on multiple folders (e.g., ICPSR_21600, then ICPSR_21600 again, then DS0002) to find the SPSS data file and/or the PDF of the questionnaire/codebook.
If there is no SPSS option for your dataset, you can click on the ASCII link (or the link for another file type), download the file in that format, and then have SPSS convert the file to its own format. Follow the instructions in Chapter 2 of the SPSS Statistics Brief Guide (see the link on the Methods page) for the appropriate file type; you may just want to find another dataset if you do not want to go to the trouble of converting the file. If the dataset is located on a different website, follow the link to download that dataset from the other site (it will usually be a university or other institutional website).
Let your professor know if you want to use a dataset but are having problems getting access or converting it to SPSS format.
To open a dataset you have downloaded, see the instructions on the Statistical Analysis page under SPSS > Opening a dataset.
Data collection
SAGE Research Methods (books, articles, references, videos; VCU has a subscription to this service, so visit the site via these library links)
Data analysis
For resources on collecting and coding qualitative data, visit the Qualitative Methods page. For resources on statistics and SPSS, visit the Statistical Analysis page.
Software for download
SPSS | Stata (via VCU App2Go server) | R | RStudio | NVivo (via VCU App2Go server)
For tutorials on specific programs, visit the Qualitative Methods and Statistical Analysis pages.