usetdm

Stata command to download example data for classes, workshops, and replication files

usetdm loads datasets from the web to recreate the examples from various classes and workshops, and the replication files from various projects. The datasets live in the data/ folder of the tdmize/data GitHub repository; usetdm saves typing the address. Every dataset on this page can also be opened without installing anything:

use "https://tdmize.github.io/data/data/gss", clear

Installation

net install usetdm, from("https://tdmize.github.io/data") replace

Use

usetdm dataname [, clear]

Option clear must be specified if another dataset is currently in memory.

usetdm gss, clear
Loading dataset...
(gss.dta | GSS 1972 - 2016 Data | DMV Workshop)
describe, short
Contains data from https://tdmize.github.io/data/data/gss.dta
 Observations:        62,466                  gss.dta | GSS 1972 - 2016 Data | DMV Workshop
    Variables:           113                  24 Mar 2018 14:28
Sorted by:

Available datasets

The table lists every dataset in the folder as of September 2026, with the number of observations and variables. The folder itself is at tdmize.github.io/data/data, and the class and workshop materials that use these files are on the Teaching pages. Datasets marked “si” are prepared for the Methodology Center’s Summer Institute on Longitudinal Data Analysis; “CDA” is for my Categorical Data Analysis.

Dataset Obs. Vars. Description
addhealth4 4,307 79 Add Health Wave IV (DMV)
addhealth4_mcar 4,307 11 Add Health Wave IV, missing-data workshop extract (MCAR example)
addhealth4_mimpute 4,307 37 Add Health Wave IV, multiply imputed data
ah1_context 6,504 8 Add Health Wave I, contextual variables (MCAP SI)
ah4_cme 4,307 12 Add Health Wave IV, Mize, Doan & Long (2019) examples
ah4_hotdeck 22,842 20 Add Health Wave IV, missing-data workshop extract (hot-deck example)
ah_si 29,467 79 Add Health Waves I-VI, cleaned for the MCAP SI
ah_si_2025 25,530 61 Add Health Waves I-V, cleaned for the 2025 MCAP SI
ah_si_2026 29,467 79 Add Health Waves I-VI, cleaned for the 2026 MCAP SI
anscombe 11 6 Anscombe’s quartet
cda_ah4 5,114 131 Add Health Wave IV (CDA)
cda_ah5 4,196 168 Add Health Wave V (CDA)
cda_anes 8,280 46 American National Election Study 2020, pre-election (CDA)
cda_gss 68,846 193 General Social Survey 1972-2021 (CDA)
cda_gss22 72,390 192 General Social Survey 1972-2022 (CDA)
cda_hrs 15,723 179 Health and Retirement Study 2020 (CDA)
cda_pew 2,583 36 Pew politics survey, October 2016 (CDA)
cda_scs2 555 63 Stereotype content of gender and sexual orientation, Study 2 (CDA)
cda_wvs6 89,565 47 World Values Survey wave 6, 2010-2014 (CDA)
cda_wvs7 137,669 102 World Values Survey wave 7 with the extra EVS5 countries (CDA)
cgr 9,691 60 Intersectionality and stereotype content, Prolific sample
county_albers 58,948 5 US county map coordinates, Albers projection (DMV)
county_albers_conus 55,203 5 US county map coordinates, Albers projection, contiguous states (DMV)
county_coor 59,876 3 US county map coordinates (DMV)
county_mercator 58,948 5 US county map coordinates, Mercator projection (DMV)
covid_cases_europe 34,695 4 COVID-19 cases in Europe, 2020-2023
covid_US_counties 3,144 14 COVID-19 deaths, vaccinations, and the 2020 presidential vote by US county
dmv_intsim01 2,000 10 Simulated interaction data 1 (DMV)
dmv_intsim02 2,000 10 Simulated interaction data 2 (DMV)
doan_ASR_2014 1,073 161 Doan (2014, ASR), views of gay, lesbian, and heterosexual couples (TESS)
doan_love_SF 504 177 TESS analysis data, Doan and coauthors
feechanges 27 2 Fee changes, a small example dataset
gss 62,466 113 General Social Survey 1972-2016 (DMV)
gss7216_inm 62,277 40 General Social Survey 1972-2016, interactions in nonlinear models
gss_cme 62,466 29 General Social Survey 1972-2016, weighted; Mize, Doan & Long (2019) examples
hrs06 17,537 46 Health and Retirement Study 2006 (DMV)
hrs_si 296,197 181 Health and Retirement Study 1992-2022, cleaned for the MCAP SI
hrs_si_2025 280,343 42 Health and Retirement Study, cleaned for the 2025 MCAP SI
lvm_ah4 5,114 120 Add Health Wave IV (LVM)
lvm_dis2 2,190 105 Hiring study 2 (mTurk) with scales (LVM)
lvm_gss 62,466 107 General Social Survey 1972-2016 (LVM)
lvm_ma1 115 90 Mize (2019), doing gender by criticizing leaders, Study 1
lvm_scs2 555 70 Mize & Manago (2018, Social Currents), stereotype content of sexual orientation
lvm_wvs6 89,565 46 World Values Survey wave 6, 2010-2014 (LVM)
midus_si 15,365 7 MIDUS study, cleaned for the MCAP SI
midus_si_2025 15,365 7 MIDUS study, cleaned for the 2025 MCAP SI
mls_gss 3,920 417 General Social Survey extract, matching/labeling/stigma project with multiple imputation
MORs-gss 12,239 12 General Social Survey extract
nli_ah4 4,307 18 Add Health Wave IV (NLI)
nli_gss 62,277 41 General Social Survey 1972-2016 (NLI)
pew16 1,604 39 Pew 2016 pre-election survey (DMV)
plp-1_2-merged 3,343 213 Parental leave policies experiment, Prolific studies 1 and 2
pmh_tess 1,989 38 Precarious male heterosexuality, TESS study
publish 308 33 Long’s biochemist publication data (some variables artificially constructed)
regjob3 408 9 Long’s data on the academic jobs of biochemists
scireview3 264 34 Long’s biochemist data, updated for the CDA Stata guide
scs1 461 66 Bisexual stereotypes study 1, with scales
scs1_b 461 60 Bisexual stereotypes study 1, with scales (variant)
scs2 555 70 Bisexual stereotypes study 2, with scales
smi_gss 13,064 75 Mize (2016, ASR), GSS data on sexual behavior and wages
state_albers 83,895 3 US state map coordinates, Albers projection (DMV)
state_coor 83,895 3 US state map coordinates (DMV)
state_mercator 83,895 3 US state map coordinates, Mercator projection (DMV)
tenure 2,797 23 Long’s data on tenure for scientists (DMV)
uscounty 3,144 43 US county data, presidential elections 2012-2016 (DMV)
usstates 51 39 US state data, presidential elections 2012-2016 (DMV)
vote2008 3,141 77 US county characteristics, 2000-2007
world 177 73 World map data (DMV)
worldcoor 10,943 3 World map coordinates (DMV)
worldcoor_merc 10,943 3 World map coordinates, Mercator projection (DMV)

Author

usetdm is written by Trenton D. Mize, Department of Sociology, Purdue University. Questions can be sent to tmize@purdue.edu.

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