1. Qualitative research tools: These tools are used to collect, analyze, and interpret non-numerical data such as opinions, attitudes, and behaviors. Examples include interviews, focus groups, and observational methods. 2. Quantitative research tools: These tools are used to collect, analyze, and interpret numerical data to understand relationships, patterns, and trends. Examples include surveys, experiments, and statistical analyses. 3. Data analysis software: These tools are used to analyze large datasets and identify patterns, correlations, and trends within the data. Examples include SPSS, Excel, and R. 4. Research management tools: These tools help researchers to organize and manage their research projects, including tasks, schedules, and collaboration with other team members. Examples include Zotero, Mendeley, and Trello. 5. Survey tools: These tools are used to create and distribute surveys to collect data from a target audience. Examples include SurveyMonkey, Google Forms, and Qualtrics. 6. Literature review tools: These tools help researchers to organize and manage the literature review process by collecting, organizing, and citing relevant sources. Examples include EndNote, RefWorks, and Zotero. 7. Visualization tools: These tools help researchers to visually represent their data and findings through charts, graphs, and other interactive visualizations. Examples include Tableau, Power BI, and Google Data Studio.