Data Collection
& Analysis
Facilitates every step of the data journey with advanced data collection and analysis tools. From pilot testing with AI-driven simulations to sophisticated statistical analysis software, researchers are equipped with the means to efficiently gather, clean, and analyze data.
Recruitment
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An online platform specifically designed for academic research recruitment, offering access to a diverse pool of participants who are pre-screened for reliability. Particularly useful for conducting pilot tests and full experiments with specific population requirements.
Ideal for creating engaging recruitment materials. Whether for pilot studies or full-scale research, visually appealing posts can significantly improve participant engagement.
Both platforms are not only useful for creating surveys but also for recruiting participants for pilot testing and main studies, thanks to their distribution capabilities and analytics.
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A participant management system widely used in academic research for recruiting, scheduling, and managing participants, facilitating both pilot studies and larger experiments.
Recruitment Flyers & Emails
​Traditional yet effective methods for reaching potential participants, especially within specific communities or institutions. Tools like Canva can help design these materials.
Statistical Insight
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As an AI language model, ChatGPT can provide explanations, tutorials, and guidance on a wide range of statistical analysis techniques. Whether you're dealing with qualitative or quantitative data, ChatGPT can offer insights on how to approach your data analysis, suggest relevant statistical tests, and explain the principles behind them.
Provides free educational content on a variety of subjects, including statistics. It's a great resource for beginners to get acquainted with basic concepts and techniques in statistical analysis.
A free and user-friendly software that not only provides tools for statistical analysis but also includes comprehensive documentation and tutorials. Researchers can learn to perform both frequentist and Bayesian analyses, making it suitable for those looking to understand the methodology behind their data analysis.
These online learning platforms offer courses on statistics and data analysis, including specific applications in linguistics and social sciences. Courses often cover the fundamentals of statistical theory, the use of statistical software, and the interpretation of data analysis results.
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Offers interactive courses on R, Python, and data science that are ideal for linguists looking to apply statistical analysis in their research. DataCamp's hands-on approach helps researchers learn how to analyze linguistic data effectively using coding.
Statistical packages
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Offers flexibility and powerful data manipulation and analysis capabilities, suitable for processing and analyzing data from pilot studies to main research endeavors.
Favoured for its user-friendly interface, making it suitable for researchers preferring a GUI for analyzing pilot study data and larger datasets.
An advanced analytics software suite that offers a wide range of statistical functions and is highly regarded in the industry and academia for its power in data analysis, including complex models and multivariate techniques.
Coding assistance
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Useful for offering coding assistance, generating code snippets, and troubleshooting for statistical analysis in R, Python, and other programming languages used in linguistic research.
Facilitates collaboration and code sharing, essential for projects that involve complex data analysis or when multiple researchers are involved in the coding and analysis process.
A valuable resource for solving specific coding challenges encountered during the analysis of pilot study data or when preparing for larger scale data analysis.
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An interactive platform offering courses in various programming languages, including Python and R, which are frequently used in statistical analysis for linguistics.