BIFIEsurvey: Tools for Educational Assessment Survey Statistics

BIFIEsurvey is a package containing tools for survey statistics, particularly for educational assessment datasets with replication designs. The package development was supported by BIFIE, the Federal Institute for Educational Research, Innovation and Development of the Austrian School System. It includes methods for descriptive statistics, regression, path models with measurement error correction, and statistical inference for multiply imputed datasets and plausible values.

Use Cases

• Conducting descriptive statistics for weighted survey samples based on the described functionality.
• Performing linear and logistic regression on educational assessment data with measurement error correction.
• Analyzing path models for manifest variables using the included methods.
• Applying statistical inference for multiply imputed datasets, as mentioned in the description.
• Conducting two-level hierarchical regressions for weighted samples from educational surveys.

Strengths

• The package is specifically designed for datasets with replication designs, referencing established methods from cited literature.
• It supports statistical inference for multiply imputed and nested multiply imputed datasets, a feature noted in the description.
• Development was supported by BIFIE, an authoritative Austrian federal institute for educational research.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

BIFIE (Federal Institute for Educational Research, Innovation and Development of the Austrian School System, Salzburg, Austria).

Collection Method

Contains statistical tools for analysis; the method of data gathering for underlying datasets is not specified.

Time Range

Temporal coverage is not specified.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is not specified, though the supporting institution is Austrian.