About Q Research Software
Q Research Software is a data analysis software from Displayr that supports survey analysis and reporting. It provides features such as advanced statistical analysis, dynamic reporting, and data visualization tools so users can effectively interpret and present their data. The software allows for the integration of multiple data sources, offers a wide range of statistical tests, and facilitates easy collaboration and sharing of findings. Q Research Software is particularly useful for researchers and analysts working in market research, social sciences, and academia. Key capabilities: advanced statistical analysis dynamic reporting data visualization tools collaboration features multiple data source integration Best for: researchers and analysts that need to analyze and report on survey data.
Q Research Software by Displayr stands out as a highly specialized and purpose-built tool for market researchers, delivering exceptional efficiency and precision across the entire research analysis lifecycle. Designed to streamline the traditionally time-consuming tasks associated with data cleaning, statistical testing, and report generation, Q allows researchers to focus on extracting insights and crafting compelling narratives instead of getting bogged down by repetitive technical work. Its intuitive interface is tailored for non-coders and analysts alike, offering a familiar tabbed structure and intelligent automation that selects the appropriate statistical methods for each analysis. By doing so, it significantly reduces the barrier to entry for those unfamiliar with deep statistical theory, while still retaining the flexibility and power needed by advanced users. What truly distinguishes Q is its automation capabilities, which handle many of the mundane aspects of market research—such as auto-coding, statistical testing with appropriate corrections, and replicating complex tables and charts. It supports a wide array of advanced statistical and modeling techniques, including cluster analysis, latent class analysis, regression models, and specialized tools like MaxDiff and Conjoint.
Pros & Cons
- Fast Insight Discovery: Easy creation of filters, weights, and segments combined with cross-tabs helps uncover data stories quickly.
- User-Friendly for Researchers: Intuitive interface tailored to market research workflows; minimal coding required.
- Advanced Analytics Support: Offers regression, segmentation, MaxDiff, and other statistical tools for deeper analysis.
- Offline Capability: Desktop-based software doesn’t require internet access for data processing.
- Cost-Effective: Lower cost compared to alternatives like SPSS; suitable for startups and small businesses.
- Strong Coding Tools: Efficient variable coding and manipulation save time on large projects.
- Self-Learning Resources: Includes helpful training tools and documentation for new users.
- Reliable Backup Tool: Can be used alongside Displayr to troubleshoot and fix data issues.
- Steep Learning Curve for Beginners: Data manipulation may be challenging without prior experience.
- Limited Visualization Customization: Some users find charting and output styling less flexible.
- Internet Dependency for Some Features: Certain functions may require online access.
- Outdated Results Risk: May not always reflect real-time or future-oriented insights.
- Documentation Gaps: Some users report missing or unclear documentation for advanced features.
- Less Feature-Rich Than Displayr: Displayr offers broader capabilities for reporting and dashboarding.
Features
Key features
Automatically handles data cleaning, formatting, statistical testing, table generation, and report reproduction.
Empowers users to conduct complex statistical and machine learning analyses (like MaxDiff, Conjoint, Latent Class) without extensive training or outsourcing.
Facilitates effortless storytelling with strong visualization capabilities and direct export/update to Microsoft Office and Displayr dashboards.
Tailored to the unique needs and common workflows of market research professionals.
Enables automatic updating of analyses and reports, saving time, especially for tracking studies.
Provides readily available support from specialists to assist users.
Additional features
Automates tasks such as cleaning and formatting data, statistical testing, generating tables, updating analyses, and reproducing reports.
Allows users to perform advanced statistical analysis and create visualizations themselves.
Uses smart systems and automation for methods including correspondence analysis, latent class analysis, regression, MaxDiff, Shapley, and TURF.
Fully supports the R language for advanced users who wish to write code.
Helps users design reports to share insight-filled stories.
Tools to visualize data to show patterns.
Integrates effortlessly with Microsoft Office (PowerPoint, Excel, Word) for report generation and updates.
Integrates with Displayr for creating interactive online dashboards.
Projects and reports can be automatically updated with new data.
Enables the creation of cross-tabulation tables.
Specifically designed for analyzing survey data.
Tools for applying and managing data weights for accurate insights.
Quantifies the relative impact of different factors on an outcome.
Supports MaxDiff (Maximum Difference) scaling for preference measurement.
Performs correspondence analysis for visualizing relationships between categorical variables.
Facilitates conjoint analysis for understanding consumer preferences.
Supports Total Unduplicated Reach and Frequency analysis.
Designed for analyzing longitudinal data and tracking studies.
Enables user segmentation based on data patterns.
Automatically applies appropriate statistical tests, including t-tests, z-statistics, p-values, and corrections (Bonferroni, False Discovery Rate).
Exports charts and graphs that are editable within Microsoft Office.
Exports data to Excel (tables, charts, raw data), PowerPoint (tables, charts), Word (tables, charts), PDFs, SPSS files (.sav), CSV files, and QPacks.
Features for single and multiple response coding, back coding, sharing code frames, and automatic coding of identical text.
Supports automatic creation of standard variables (sums, averages, counts), Excel-style formulas for simple variables, and JavaScript for complex variables.
Allows applying multiple filters to tables and creating simple or advanced Boolean-logic filters.
Includes Principal Components Analysis, Latent Class Analysis (categorical, numeric, rankings), K-means Cluster Analysis, and Multiple Correspondence Analysis.
Offers Multiple Regression, Binary Logit, Ordered Logit, Multinomial Logit, Regression Trees, and Classification Trees.
Works with SPSS data files (.sav), SPSS syntax files (.sps), Triple S (.sss), Excel files (.xls and .xlsx), IBM SPSS Data Model files (.mdd), and CSV.
Can merge observations and variables to a data file, and stack data files.
Generates time series plots for tracking studies.
Provides a wide range of statistics including correlation, average, percent, coefficient, p-value, standard deviation, percentiles, sample size, effective sample size, and more.
Automatically groups variables into questions and grids.
Automatically applies weights to data.
Automatically checks for outliers and small sample sizes.
Automatically identifies the most interesting tables.
Nearly all computations are dynamic and automatically update with data changes.
Can create online dashboards (hosting priced separately).
Pricing
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Interface languages
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About Q Research Software
Q Research Software is a data analysis software from Displayr that supports survey analysis and reporting. It provides features such as advanced statistical analysis, dynamic reporting, and data visualization tools so users can effectively interpret and present their data. The software allows for the integration of multiple data sources, offers a wide range of statistical tests, and facilitates easy collaboration and sharing of findings. Q Research Software is particularly useful for researchers and analysts working in market research, social sciences, and academia. Key capabilities: advanced statistical analysis dynamic reporting data visualization tools collaboration features multiple data source integration Best for: researchers and analysts that need to analyze and report on survey data.
Q Research Software Details
Q Research Software's In-App Market Place
Does Q Research Software have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$), CNY (¥), INR (₹), BRL (R$), RUB (₽), KRW (₩), MXN ($)
Pros & Cons
- Fast Insight Discovery: Easy creation of filters, weights, and segments combined with cross-tabs helps uncover data stories quickly.
- User-Friendly for Researchers: Intuitive interface tailored to market research workflows; minimal coding required.
- Advanced Analytics Support: Offers regression, segmentation, MaxDiff, and other statistical tools for deeper analysis.
- Offline Capability: Desktop-based software doesn’t require internet access for data processing.
- Cost-Effective: Lower cost compared to alternatives like SPSS; suitable for startups and small businesses.
- Strong Coding Tools: Efficient variable coding and manipulation save time on large projects.
- Self-Learning Resources: Includes helpful training tools and documentation for new users.
- Reliable Backup Tool: Can be used alongside Displayr to troubleshoot and fix data issues.
- Steep Learning Curve for Beginners: Data manipulation may be challenging without prior experience.
- Limited Visualization Customization: Some users find charting and output styling less flexible.
- Internet Dependency for Some Features: Certain functions may require online access.
- Outdated Results Risk: May not always reflect real-time or future-oriented insights.
- Documentation Gaps: Some users report missing or unclear documentation for advanced features.
- Less Feature-Rich Than Displayr: Displayr offers broader capabilities for reporting and dashboarding.
Q Research Software's Support Options
Email Address
support@q-researchsoftware.comContact
877 401 1897Q Research Software's Alternatives
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