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Such software helps to organize, manage and analyse information. [21] The advantages of using this software include saving time, managing huge amounts of qualitative data, having increased flexibility, having improved validity and auditability of qualitative research, and being freed from manual and clerical tasks.
ATLAS.ti is a tool that supports locating, coding/tagging, and annotating features within bodies of unstructured data; it also offers visualization functions.The software is used by researchers in a wide variety of fields, and it supports data in text, graphical, audio, video, and geospatial format. [3]
QSR International now known as (Lumivero) is a qualitative research software developer based in Burlington, Massachusetts, with offices in Australia, Germany, New Zealand, and the United Kingdom. QSR International is the developer of qualitative data analysis (QDA) software products, NVivo, NVivo Server, Interpris and XSight.
Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics; R – free implementation of the S (programming language) Programming with Big Data in R (pbdR) – a series of R packages enhanced by SPMD parallelism for big data analysis; R Commander – GUI interface for R
Dedoose is an alternative to other qualitative data analysis software, explicitly aimed at facilitating rigorous mixed methods research. It is used by researchers funded by the William T. Grant Foundation, including among those in its Faculty Scholars Program.
SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics.
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
It has a tier-based data model that supports multi-level, multi-participant annotation of time-based media. It is applied in humanities and social sciences research ( language documentation , sign language and gesture research ) for the purpose of documentation and of qualitative and quantitative analysis. [ 3 ]