U.S. Remote Work Motivations Survey with Best-Worst Scaling, 2021

A nationally representative online survey from late 2021 investigates why individuals in the United States value working from home. The dataset employs a best-worst scaling experiment to rank motivations, revealing caregiving and commuting as top priorities. Authored by Courtney Bir and shared under a CC-BY-4.0 license, the 5.5 KB Excel file includes results from a latent class model and seemingly unrelated regression analysis.

Use Cases

• Ranking employee motivations for remote work based on the best-worst scaling experiment results.
• Segmenting worker preference heterogeneity using the latent class model identifying four distinct groups.
• Analyzing correlations between work-from-home preferences and changes in personal routines like grooming and attire.
• Informing organizational policy design by understanding the primary drivers of flexibility, such as caregiving and commute reduction.

Strengths

• Data is from a nationally representative online survey, suggesting a structured collection method.
• Includes results from a best-worst scaling experiment and latent class analysis, indicating processed preference rankings.
• Shared under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope or highly summarized data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for statistical modeling.

Provenance

Source

Courtney Bir via figshare

Collection Method

Nationally representative online survey conducted in late 2021, analyzed with best-worst scaling and latent class models.

Time Range

Late 2021

Freshness

Last updated 2026-05-04 17:48:36; freshness should be verified.

Geography

United States