Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Power and Precision is an independent software tool specifically designed for conducting statistical power analysis, which helps users determine the appropriate sample size for their upcoming research projects. With its remarkably intuitive interface, the software offers various resources that aid in comprehending the nuances of power analysis. Users can effortlessly generate tables, graphs, and detailed reports with just a click of a button. An interactive guide is available to lead users through every phase of the power analysis process. It provides a versatile set of tools that allow users to visualize effect sizes and grasp how factors like alpha, effect size, and sample size interact. The generated reports not only serve as educational resources but also can be incorporated into the statistical sections of research proposals or grant applications. Additionally, including the graphical outputs in presentations or grant submissions can effectively support the rationale behind the chosen sample size. This comprehensive approach ensures that users can present their findings clearly and convincingly.
Description
In a secure and manageable setting, users can swiftly derive insights from their data. Data can be collected in various formats and types, enabling the creation of new variables and the selection of specific cases of interest. Through effective data analysis techniques, both numerical and categorical variables can be thoroughly examined and analyzed. Results can be presented either in tabular form or through graphical representations. Additionally, users can investigate the relationships between different variables and assess the significance of these relationships. Various statistical tests, such as Pearson and Spearman correlations, Chi-Square tests, T-Tests for independent samples, Mann-Whitney, ANOVA, and Kruskal-Wallis, can be employed to achieve this. Moreover, the most commonly used measures of scale reliability can be easily selected and calculated. One can also verify the consistency of dimensions in the dataset. Utilizing measures like Cronbach's Alpha—both raw and standardized, with or without item deletion—Guttman’s six, and Intraclass correlation coefficients (ICC), provides further insights into the reliability of the data. This comprehensive approach ensures a thorough understanding of the data's structure and relationships.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
$595 one-time payment
Free Trial
No
Free Version
No
Pricing Details
$29.90/month/user
Free Trial
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Biostat
Website
www.power-analysis.com
Vendor Details
Company Name
Quark Analytics
Founded
2019
Country
Portugal
Website
www.quarkanalytics.com
Product Features
Statistical Analysis
Analytics
Yes
Association Discovery
Yes
Compliance Tracking
Yes
File Management
No
File Storage
Yes
Forecasting
No
Multivariate Analysis
No
Regression Analysis
No
Statistical Process Control
No
Statistical Simulation
Yes
Survival Analysis
Yes
Time Series
No
Visualization
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
Statistical Analysis
Analytics
No
Association Discovery
No
Compliance Tracking
No
File Management
No
File Storage
No
Forecasting
Yes
Multivariate Analysis
Yes
Regression Analysis
Yes
Statistical Process Control
Yes
Statistical Simulation
No
Survival Analysis
No
Time Series
No
Visualization
No