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Description

QDA Miner Lite is a no-cost, user-friendly version of our well-known software designed for computer-assisted qualitative analysis. This tool is ideal for analyzing various types of textual data, including interview transcripts, news articles, and open-ended survey responses, as well as for evaluating still images. Users can easily import documents in formats such as plain text, RTF, HTML, PDF, and data from Excel, MS Access, CSV, and tab-delimited text files. Additionally, it supports the import of data from other qualitative coding programs like Atlas.ti, HyperResearch, and Ethnograph, as well as from transcription software such as Transana and Transcriber, along with Reference Information System (.RIS) files. The software allows users to append comments or memos to coded segments, cases, or entire projects, enhancing the analytical process. Users can retrieve coded data employing Boolean operators (and, or, not) and proximity operators (includes, enclosed, near, before, after) for more precise analysis. Furthermore, tables can be exported in XLS, Tab Delimited, CSV formats, and Word format, making data sharing and reporting more convenient. The interface, along with the help documentation, is available in English, French, and Spanish, ensuring accessibility for a diverse user base. This functionality makes QDA Miner Lite an excellent resource for researchers and analysts looking to streamline their qualitative data analysis.

Description

WizWhy analyzes how the values of one data field are influenced by the values of other fields in the dataset. The analysis hinges on a dependent variable chosen by the user, while the remaining fields act as independent variables or conditions. This dependent variable can be examined in two ways: as a Boolean value or as a continuous measurement. Users have the ability to refine their analysis by setting various parameters, including the minimum probability for rule formation, the least number of instances required for each rule, and the comparative costs associated with false negatives versus false positives. WizWhy identifies and presents a series of rules that connect the dependent variable with other fields, expressing these rules using if-then and if-and-only-if constructs. Based on the identified rules, WizWhy highlights significant patterns, reveals unexpected rules that may indicate interesting phenomena, and points out unusual cases within the dataset. Additionally, WizWhy is capable of making predictions for new instances by leveraging the established rules.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Microsoft Access Yes 
Microsoft Excel Yes 
Transana Yes 

Integrations

Microsoft Access No 
Microsoft Excel No 
Transana No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Provalis Research

Founded

1989

Country

Canada

Website

provalisresearch.com/products/qualitative-data-analysis-software/freeware/

Vendor Details

Company Name

WizSoft

Founded

1983

Country

United States

Website

www.wizsoft.com/products/wizwhy/

Product Features

Qualitative Data Analysis

Annotations Yes 
Collaboration Yes 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language Yes 
Qualitative Comparative Analysis No 
Quantitative Content Analysis Yes 
Sentiment Analysis No 
Statistical Analysis Yes 
Text Analytics Yes 
User Research Analysis No 

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Mining

Data Extraction No 
Data Visualization No 
Fraud Detection No 
Linked Data Management No 
Machine Learning No 
Predictive Modeling No 
Semantic Search No 
Statistical Analysis No 
Text Mining No 

Predictive Analytics

AI / Machine Learning No 
Benchmarking No 
Data Blending No 
Data Mining No 
Demand Forecasting No 
For Education No 
For Healthcare No 
Modeling & Simulation No 
Sentiment Analysis No 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis No 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis No 

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