Research

A week during COVID-19: social time and well-being

When most people stayed home, who did they spend time with, and how did that relate to how they felt? The team surveyed adults on a single day in April 2020.

My role
Contributing author (third of four)
Status
Published, Computers in Human Behavior Reports, 2021

Tibbetts, M., Epstein-Shuman, A., Leitao, M. R., & Kushlev, K. (2021). A week during COVID-19: Online social interactions are associated with greater connection and more stress. Computers in Human Behavior Reports, 4, 100133. doi:10.1016/j.chbr.2021.100133

Who
569 adults who finished the survey, of 674 who consented. 56.2% women, mean age 46.05. MTurk and CloudResearch.
When
April 8, 2020. 39% were staying home, and the contact index was down 75.6% against 2019.
Data
On OSF with view-only access, so I do not link it here. Figures are rebuilt from the printed paper.

Main findings

Time with close friends and family in person went with feeling better

On April 8, 2020, at the peak of social distancing, 569 adults told the research team how much time they spent with strong ties (close people) and weak ties (acquaintances), in person and online, and how they felt.

More hours with strong ties in person went with more positive affect (r = .19) and more connectedness (r = .10).

r = .19

hours with close people in person and positive affect

A small positive link.

Time online with acquaintances went with feeling worse

More hours online with weak ties went with more negative affect (r = .18) and more stress (r = .20). It also went with lower connectedness (r = −.16).

These are links at one point in time. The data cannot show whether online time caused the feelings or the feelings drove the time.

r = .20

hours online with acquaintances and stress

The strongest link between time use and a feeling.

Stress, mood and connectedness moved together

Stress and negative affect were closely tied (r = .79). Connectedness fell as stress rose (r = −.70).

Time use explained between 30% and 44% of the variation in the four feelings once the four kinds of contact were combined (R² from .30 to .44).

R² = .44

variance in connectedness explained by time use

The highest of the four models.

The evidence

Table 1. Averages of the four feelings

What to look for. Positive affect and connectedness sat above the middle of the scale. Stress sat low.

Measure Mean SD
Positive affect3.33.92
Negative affect2.75.95
Stress1.80.82
Connectedness3.25.86

From the paper's descriptive statistics.

Hours of social time and feelings (correlations)

What to look for. Strong ties in person link to better feelings. Weak ties online link to worse ones.

−0.30−0.20−0.100.000.100.200.30 Strong ties in person (hours) Positive affect Connectedness Strong ties online (hours) Positive affect Negative affect Stress Weak ties in person (hours) Positive affect Stress Weak ties online (hours) Positive affect Negative affect Stress Connectedness Correlation (r)

How the four feelings relate

What to look for. Stress and negative affect are close to one. Connectedness opposes them.

PositiveaffectNegativeaffectStressConnectedness Positive affect −.54 −.57 .51 Negative affect −.54 .79 −.64 Stress −.57 .79 −.70 Connectedness .51 −.64 −.70
Table 2. What time use explains

What to look for. Each model combines all four kinds of contact. Connectedness and stress are the best explained.

Outcome R² Key predictors (partial r)
Positive affect.30Strong ties in person (.14)
Negative affect.35Weak ties online (.20)
Stress.41Weak ties online (.16)
Connectedness.44Strong ties in person (.16), strong ties online (.15), weak ties online (−.12)

Final stepwise models, from the paper's Table 2.

Partial correlations of the key predictors

−0.30−0.20−0.100.000.100.200.30 Strong ties in person Positive affect Connectedness Strong ties online Connectedness Weak ties online Negative affect Stress Connectedness Partial correlation

What this means

The kind of contact mattered. Time with close people in person went with better feelings, and online time with acquaintances went the other way.

Limits. This is one day of survey data from online panels, so the data cannot show what caused what. The links are small to moderate.

How this page was made

Every value is from the printed paper. I did not recompute from raw data.