What do we call the tool that may be used to collect measure and analyze data related to research that aims to describe an event?

What do we call the tool that may be used to collect measure and analyze data related to research that aims to describe an event?

Answer:

DATA COLLECTION TOOL

Data collection tools refer to the devices/instruments used to collect data, such as a paper questionnaire or computer-assisted interviewing system. Case Studies, Checklists, Interviews, Observation sometimes, and Surveys or Questionnaires are all tools used to collect data.

Step-by-step explanation:

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  • What do we call the tool that may be used to collect measure and analyze data related to research that aims to describe an event?

  • What do we call the tool that may be used to collect measure and analyze data related to research that aims to describe an event?

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  • What do we call the tool that may be used to collect measure and analyze data related to research that aims to describe an event?

What do you call the tool that used to collect data?

What is a Data Collection Tool? Data collection tools refer to the devices/instruments used to collect data, such as a paper questionnaire or computer-assisted interviewing system. Case Studies, Checklists, Interviews, Observation sometimes, and Surveys or Questionnaires are all tools used to collect data.

What is the tool that researchers can use to give them the summary of the content to cover during interviews?

Overview. Content analysis is a research tool used to determine the presence of certain words, themes, or concepts within some given qualitative data (i.e. text).

What is the aim of the survey questionnaire?

The purpose of a questionnaire is to gather data from a target audience. It will include open ended questions, closed ended questions, or a combination of both. As participants fill out a questionnaire, they're giving valuable titbits of data. The data collected can be quantitative or qualitative.

What are the ways to present the data gathered in your study?

Data can be presented in running text, in framed boxes, in lists, in tables or in figures, with each of these having a marked effect not only on how readers perceive and understand the research results, but also on how authors analyse and interpret those results in the first place.