Literature DB >> 24307414

Building and mining web-based questionnaires and surveys with SySQ.

Alessia Sarica1, Pietro Hiram Guzzi, Mario Cannataro.   

Abstract

A questionnaire is a method for collecting data that can come from many sources such as observations, telephone interviews or documentary sources. Whatever the source of data is, the questionnaire provides a framework of questions that facilitate researcher's work. A manual approach for collecting data using questionnaire presents some limitations and introduces several sources of errors. A second issue regards the statistical and data mining of data that often is conducted using different tools than the questionnaire system, which may introduce errors in the analysis pipeline. For instance, common methods applied to data set concern the normality test, the association and correlation discovery, linear regression, classification and clustering. Usually this analysis is performed using external tools, often not free, such as SPSS, SAS, STATA, Weka, or Clementine.We present a web-based software system, to automatize the analysis pipeline and to support researchers involved in the collection of questionnaire data, such as in epidemiology, aiming to reduce the errors listed above and including some basic functions to conduct statistical analysis on collected data. Our system allows researchers to create questionnaires, adding sections and structured questions. It provides a preview of the questionnaire, the exportation of saved data into statistical software compatible formats, or it permits to analyze them directly applying statistical methods and common data mining techniques from the main interface.

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Year:  2013        PMID: 24307414     DOI: 10.1007/s12539-013-0167-8

Source DB:  PubMed          Journal:  Interdiscip Sci        ISSN: 1867-1462            Impact factor:   2.233


  1 in total

1.  Risk factors to incidental leptospirosis and its role on the reproduction of ewes and goats of Espírito Santo state, Brazil.

Authors:  Priscilla Cortizo; Ana Paula Loureiro; Gabriel Martins; Patrícia Rosário do Rodrigues; Braulio Pego Faria; Walter Lilenbaum; Bruno Borges Deminicis
Journal:  Trop Anim Health Prod       Date:  2014-10-02       Impact factor: 1.559

  1 in total

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