How Couples Meet and Stay Together (HCMST) - 2022 Wave data.

This dataset is derived from the 2022 wave of the longitudinal HCMST
study, conducted by researchers at Stanford University. The study
explores how romantic relationships are formed and sustained in the
United States, with a focus on relationship quality, social context, and
the effects of major external events like the COVID-19 pandemic.

The dataset includes demographic characteristics, relationship context,
couple behavior, and pandemic-related experiences, making it well-suited
for studies on interpersonal dynamics, inequality, and resilience in
romantic partnerships.

Variables
----------
subject_age : Subject age.
subject_education : Highest degree obtained (e.g. "no_education", "11th",
                    "masters_degree").
subject_sex : Subject gender identity.
subject_ethnicity : Ethnic background.
subject_income_category : Household income category.
subject_employment_status : Employment status.
same_sex_couple : Indicator of whether the couple is same-sex.
married : Marriage status.
sex_frequency : Self-reported sexual frequency.
flirts_with_partner : Frequency of flirting with partner.
fights_with_partner : Frequency of conflict with partner.
relationship_duration : Length of relationship in years.
children : Number of children in the household.
rel_change_during_pandemic : Relationship change during the COVID-19
                              pandemic.
inc_change_during_pandemic : Income change due to the pandemic.
subject_had_covid : Whether the subject had COVID-19.
partner_had_covid : Whether the subject's partner had COVID-19.
subject_vaccinated : Vaccination status of the subject.
partner_vaccinated : Vaccination status of the subject's partner.
agree_covid_approach : Agreement between partners on COVID-19 approach.
relationship_quality : Self-reported quality of the relationship.

Source
------
Stanford University Libraries, How Couples Meet and Stay Together 2017–2022:
https://data.stanford.edu/hcmst2017

Notes
-----
Distributed under a data use agreement. Do not use this dataset to
identify individuals. Please cite appropriately in publications and reports.

Citation: Rosenfeld, Michael J., Reuben J. Thomas, and Sonia Hausen. 2023.
    How Couples Meet and Stay Together 2017-2020-2022 Combined Dataset. Stanford, CA: Stanford University Libraries.
    https://data.stanford.edu/hcmst2017

Examples
--------
>>> import diversedata as dd
>>> df = dd.load_data("hcmst")
>>> df.head()
    subject_age     subject_education   subject_sex ...
0   53.0            high_school_grad    female      ...

>>> dd.print_data_description("hcmst")
How Couples Meet and Stay Together (HCMST) - 2022 Wave data.

This dataset is derived from the 2022 wave of the longitudinal...