Tools for Survey Statistics in Educational Assessment
Conversion and Selection of BIFIEdata Objects
Statistics for User Defined Functions
Correlations and Covariances
Cross Tabulation
Create BIFIE.data Object based on Bootstrap
Create BIFIE.data Object with Jackknife Zones
Creates an Object of Class BIFIEdata
Selection of Variables and Imputed Datasets for Objects of Class `BIFI...
Data Transformation for BIFIEdata Objects
Statistical Inference for Derived Parameters
Empirical Distribution Function and Quantiles
Frequency Statistics
Histogram
Fitting a Model in lavaan or in survey
Linear Regression
Logistic Regression
Missing Value Analysis
Path Model Estimation
Two Level Regression
Univariate Descriptive Statistics (Means and Standard Deviations)
Analysis of Variance and Effect Sizes for Univariate Statistics
Wald Tests for BIFIE Methods
Conversion of a BIFIEdata Object into a svyrep Object in the `surv...
tools:::Rd_package_title("BIFIEsurvey")
Utility Functions in BIFIEsurvey
An Rcpp Based Version of the table Function
Example Datasets for the BIFIEsurvey Package
Saving, Writing and Loading BIFIEdata Objects
Standard Errors of Estimated Parameters
Contains tools for survey statistics (especially in educational assessment) for datasets with replication designs (jackknife, bootstrap, replicate weights; see Kolenikov, 2010; Pfefferman & Rao, 2009a, 2009b, <doi:10.1016/S0169-7161(09)70003-3>, <doi:10.1016/S0169-7161(09)70037-9>); Shao, 1996, <doi:10.1080/02331889708802523>). Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included. Statistical inference can be conducted for multiply imputed datasets and nested multiply imputed datasets and is in particularly suited for the analysis of plausible values (for details see George, Oberwimmer & Itzlinger-Bruneforth, 2016; Bruneforth, Oberwimmer & Robitzsch, 2016; Robitzsch, Pham & Yanagida, 2016). The package development was supported by BIFIE (Federal Institute for Educational Research, Innovation and Development of the Austrian School System; Salzburg, Austria).
Useful links