data.test1

datasets


    Contains tools for survey statistics (especially in educational
    assessment) for datasets with replication designs (jackknife, 
    bootstrap, replicate weights). 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.    
    This package is developed by BIFIE (Federal Institute for 
    Educational Research, Innovation and Development of the Austrian 
    School System; Salzburg, Austria).

Alexander Robitzsch

BIFIEsurvey

Tools for Survey Statistics in Educational Assessment

data.test1 function

The dataset <code>data.test1</code> is a dataset with a stratified clustered sample of
2101 students nested within 89 classes and 4 strata. The format is

<code>'data.frame':   2101 obs. of  16 variables:</code> <code>$ idstud : num  10101 10102 10103 10104 10105 ...</code> <code>$ idclass: num  101 101 101 101 101 101 101 101 101 101 ...</code> <code>$ math   : num  108 107 101 91 157 ...</code> <code>$ engl   : num  95.2 133.3 94.9 97.6 142.3 ...</code> <code>$ germ   : num  125 150 107 113 139 ...</code> <code>$ stratum: num  1 1 1 1 1 1 1 1 1 1 ...</code> <code>$ female : int  1 1 1 1 0 0 0 0 0 0 ...</code> <code>$ age    : num  14.6 14.3 14.8 14.6 14.5 ...</code> <code>$ hisei  : int  43 43 43 67 51 30 30 51 68 70 ...</code> <code>$ paredu : int  2 2 1 4 5 2 1 5 7 7 ...</code> <code>$ books  : int  4 2 3 3 5 3 2 4 3 5 ...</code> <code>$ satisf : int  5 4 6 7 6 5 7 3 6 6 ...</code> <code>$ migrant: int  1 0 0 1 0 0 0 0 0 0 ...</code> <code>$ wgtstud: num  20.9 20.9 20.9 20.9 20.9 ...</code> <code>$ jkzone : num  101 101 101 101 101 101 101 101 101 101 ...</code> <code>$ jkrep  : num  0 0 0 0 0 0 0 0 0 0 ...</code>

data.test1: Some Datasets for Testing Purposes

Description

Usage

Arguments

format