BCC Module: Behavioral Change Communication Impact on Dysmenorrhea

472 observations from a study evaluating a behavioral change communication module's effect on dysmenorrhea. The dataset includes propensity score matching results, sensitivity analyses, and covariates, shared under a CC-BY-4.0 license by Liton Chandra Sen in May 2026. It contains multiple tables and supplementary files detailing the study's logic model, questionnaires, and statistical methods.

Use Cases

• Evaluate the impact of behavioral change communication on dysmenorrhea based on propensity score matching results.
• Conduct sensitivity analysis for observational studies using the provided alternative matching algorithms and model specifications.
• Assess covariate balance in quasi-experimental designs using the included Rubin's B and R statistics.
• Compare statistical methods (e.g., Bayesian logistic regression, ordered logistic regression) for analyzing health intervention outcomes.

Strengths

• Includes multiple sensitivity analyses (7 tables) testing robustness under different propensity score specifications.
• Contains detailed supplementary materials such as the original BCC pamphlet, informed consent form, and questionnaire.
• Dataset is openly licensed (CC-BY-4.0) for reuse and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary analysis sample is unknown, which may limit suitability assessment.
• The 484.7 KB file size suggests a limited scope, potentially containing summary statistics rather than raw individual-level data.

Provenance

Source

figshare

Collection Method

Likely collected via questionnaire from university students, as suggested by the sample size calculation text.

Freshness

Last updated 2026-05-12 17:42:28; freshness should be verified.