Model Fitness: Survey Data on Antibiotic Resistance Factors in Bangladesh

Primary survey data from 254 respondents in Bangladesh analyzed using Structural Equation Modeling (SEM). The dataset, created by Abdullah Al Rakib and last updated in May 2026, examines factors influencing antibiotic overuse and misuse. It is grounded in the Health Belief Model and Ecological Systems Theory.

Use Cases

• Modeling relationships between economic pressures and antibiotic misuse based on survey constructs.
• Analyzing the influence of cultural misconceptions on healthcare behaviors described in the study.
• Evaluating the role of healthcare infrastructure and diagnostic uncertainty on resistance patterns.
• Testing theoretical frameworks like the Health Belief Model using empirical survey data.

Strengths

• Dataset is based on primary survey data from 254 respondents.
• Analysis employed Structural Equation Modeling (SEM) with Smart-PLS 4.0, suitable for non-normal data.
• The dataset is licensed under CC-BY-4.0, allowing for open reuse.

Limitations

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

Provenance

Source

Author Abdullah Al Rakib via figshare.

Collection Method

Cross-sectional empirical study using a primary survey.

Freshness

Last updated 2026-05-18 17:40:47; freshness should be verified.

Geography

Bangladesh.