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Afdeling Dataverzameling en Analyse

Voorstelling Medewerkers Interviewernetwerk WOG Software  

Introduction

This page contains software developed by members, former members and students of the faculty of social sciences of the University of Leuven, although most of it was made by members of the unit of Data Collection and Analysis of the Department of Sociology. The software is offered "as is" (see disclaimer). Over the years some specialized software was developed here at the faculty. From time to time people ask for the software, for manuals, and so on. Instead of sending individual e-mails we have decided to put it all on one page. You are advised not to use this software unless you really know what you are doing. You will not find general software here. All of the programs are specialized, ranging from SAS-macros for models of issue voting to old DOS-executables for loglinear analysis.

If you are a member of this faculty and made software that you would like to share with others, contact Dirk Heerwegh

Disclaimer

We are pleased to provide all FREE software herein as a service to the social science community. We do, however, make no representations or warranties regarding the condition or functionality of the software, its suitability for use, or that it will be error-free. The system is provided "as is" without express or implied warranty, including the implied warranty of merchantability and fitness for a particular purpose. We shall not be liable for any damages suffered by the users of the software.
You are encouraged to distribute the software to friends if you like it. We appreciate it when the proper reference to the software or the manual is used.The executables have been scanned for viruses with the most up to date version of an anti-virus program.

The software

In the table below we have listed the software. Just click on the name of the program or macro if you want to download it. There are four types of programs: DOS programs, WINDOWS programs, PYTHON scripts and SAS macro's.

Name/Author Type Description

LOGSCAN

Ludo Daemen
DOS This program is one of the oldest written here at the faculty. It was written in Pascal in the eighthies by Ludo Daemen. This program bassically computes all possible loglinear models and chooses the best fitting model according to the AIC criterion. I have not used the program for a while, but for purely historical reasons this one was included anyway. 
JOBCODE

Steven De Bruyn

DOS Steven De Bruyn wrote a Pascal program that helps you to code job descriptions to NIS and ISCO Codes.The program and database files are zipped. 

WEIGHT

Istvan Hajnal

Windows This C++ program will do a chi-square test, whether a sample fits a population or not. It will compute weights for readjusting your sample and it generates SAS or SPSS code that lets you use the weights in your SAS or SPSS program. Furthermore it can do IPF adjustments. This program has a dutch manual. 

EDACLUS

Istvan Hajnal
Geert Loosveldt

Windows This (Delphi) program is a userfriendly shell for the CLUSTER procedure of SAS. It creates SAS macro's that can be used to do Exploratory Data Analysis with CLUster analysis. The program is straightforward. There is a dutch manual with some examples. This a zipped file, it contains the executable, the sas code and some examples. Unzip it in a directory c:\edaclus. 

CODEBOEK 

Dirk Heerwegh
Pieter-Jan Miermans 
Vicky Storms
Sabine Van den Bergh

SAS This SAS macro was written by four students as an exercise for Jaak Billiet's course on advanced SAS programming. Based on a user supplied SAS dataset it will create a skeleton codebook with univariate frequencies as an HTML file that can be subsequently imported by wordprocessors such as Word for Windows. The generated tables are not of professional quality, but it is still worthwhile using this macro in a preliminary stage or if your codebook is for personal use only. 

IVMAC 

Istvan Hajnal
Bart Maddens
SAS This SAS macro computes some models of issue voting (proximity, squared proximity, directional and pure directional). You really should be familiar with the theory of Issue Voting before using the macro. The macro has an english manual with some examples with ISPO data and NES data. 

SAS2LEM

Istvan Hajnal
SAS If you are a SAS user and you like to use Lem, this SAS macro will take care of those boring conversion tasks. With one simple call this macro will generate a skeleton Lem program including the frequencies! 

SAS2LIS

Istvan Hajnal
SAS The same goes for LISREL users. With one simple call this macro will generate a skeleton LISREL program including a raw data file. 

SAS2BMDP

Istvan Hajnal
SAS It is also available for BMDP users.

MLCA 

Istvan Hajnal
Geert Loosveldt

SAS This SAS macro will compute a Mixture modelling version of Latent Class Analysis. It includes a sample run on the famous Stouffer & Toby (1951) dataset.

TCEL

Jerry Welkenhuysen-Gybels
Istvan Hajnal
Jaak Billiet

PYTHON TCEL is a collection of PYTHON scripts that can be used for Testing Construct Equivalence in LISREL. You need the PYTHON interpreter to use the scripts. The scripts are zipped. The zipped file also contains a postcript version of paper with an application of TCEL. Appendix A of this paper contains a short manual for TCEL. 
SAS2MLN

Istvan Hajnal

SAS SAS2MLN is a short SAS macro that will create a raw data file and an MLWIN macro that will help you to convert a SAS data set to MLNWIN.
MLN2TEX

Istvan Hajnal

PYTHON This python script will create a LaTeX file with nicely formatted tables from an MLWIN output file. You need the PYTHON interpreter to use the script.

SIMAREA

Jerry Welkenhuysen-Gybels
SAS This SAS macro calculates some commonly used area measures for assessing DIF in dichotomous item response models: the signed and unsigned area between two item characteristic curves, the SOS1 and the SOS3 measure. Data are generated for a reference and a focal group under the nulhypothesis of no DIF. The macro calls the program BIMAIN 2.0 to estimate the item parameters.

SIMDIF

Jerry Welkenhuysen-Gybels
SAS This is a SAS macro to simulate uniform and/or nonuniform in dichotomous items. Data are generated for two groups: a reference and a focal group. The bias is introduced in the focal group. The macro calls the program BIMAIN 2.0 to estimate the item parameters.

AREA1PLM

Jerry Welkenhuysen-Gybels
SAS Again a SAS macro, to determine which items are biased on the basis of the signed and unsigned area, the SOS1 and the SOS3 measure. Item parameters are estimated via the 1-PLM. The significance of the SOS1 and SOS3 is determined on the basis of their empirical distributions. A paper which estimates the empirical distributions of these measures is included. For the signed and the unsigned area the significance test suggested by Raju is used.

AREA2PLM

Jerry Welkenhuysen-Gybels
SAS This macro does the same as the previous macro but then for the 2-PLM.

AGREETUCK

Jerry Welkenhuysen-Gybels
SAS The current SAS macro calculates the tucker's phi for the agreement of the factor loadings across two or more groups. It also implements the resampling procedures for the top-down and the bottom-up approaches for assessing factorial agreement across many groups. More details on this procedure can be found in this paper.

DIFDETEC

Jerry Welkenhuysen-Gybels
SAS The DIFDETEC macro simulates data for a reference and a focal group. Uniform or nonuniform bias can be introduced in the focal group. The groups sizes, the test size, the number of biased items and the theta-distributions can be manipulated. The macro calculates bias via the loglinear mode, the logistic regression model, the signed and the unsigned area between the item characteristic curves, the SOS1 and the SOS3. The macro calls the program BIMAIN 2.0 to estimate the IRT parameters.
 

 

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Realisatie: Margot Van Baelen | Laatste wijziging: 13-06-2006 | Disclaimer
URL: http://www.kuleuven.ac.be/sociologie/index_eng.htm