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What is SUDAAN ?

Developed by a proficient team of statisticians and programmers, SUDAAN is a dedicated software tool designed for researchers managing study data. This software skillfully manages challenges associated with correlated observations, clustering, weighting, stratification, and various complex design aspects, making it particularly effective for the accurate and efficient analysis of data from surveys and experimental studies. With a user base exceeding 1,400 analysts from government, academia, and the private sector, SUDAAN significantly enhances the functionality of traditional statistical software packages. By incorporating SUDAAN into your statistical toolkit, you unlock the potential to perform more advanced statistical techniques, such as weight calibration and imputation, while also supporting a wider range of survey designs through a highly reliable solution. Moreover, the sophisticated features of SUDAAN can greatly improve the overall quality and depth of your analytical outcomes, helping you derive more meaningful insights from your research data. As a result, SUDAAN stands out as a vital asset for anyone serious about conducting thorough and precise statistical analysis.

What is Quark Analytics?

In a controlled and efficient environment, individuals can quickly extract valuable insights from their datasets. Information can be gathered in a multitude of formats and categories, which facilitates the generation of new variables and allows for the selection of specific cases that pique interest. By employing proficient data analysis methodologies, both quantitative and qualitative variables can undergo extensive examination and scrutiny. The findings may be displayed in either tabular formats or through visual graphics. Furthermore, users have the opportunity to explore the connections between various variables and evaluate the importance of these associations. A range of statistical analyses, including Pearson and Spearman correlations, Chi-Square tests, T-Tests for independent samples, Mann-Whitney tests, ANOVA, and Kruskal-Wallis tests, can be utilized for these evaluations. In addition, selecting and calculating the most frequently used metrics for scale reliability can be done with ease. Consistency across dimensions within the dataset can also be assessed. By applying metrics such as Cronbach's Alpha—both in its raw and standardized forms, with or without the removal of items—alongside Guttman’s six and Intraclass correlation coefficients (ICC), further clarity regarding the reliability of the data is achieved. This thorough methodology not only promotes a detailed comprehension of the data’s framework and interrelations but also enhances the overall quality of the analysis conducted. Ultimately, such rigorous assessment contributes to making informed decisions based on the data insights obtained.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$29.90/month/user
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

RTI International

Company Website

www.rti.org

Company Facts

Organization Name

Quark Analytics

Date Founded

2019

Company Location

Portugal

Company Website

www.quarkanalytics.com

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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