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Data Sources Major Types of Data Sources Primary Sources Same individual or teamcollects and analyzes data for a specific purpose of answering their research questionExample: The Iowa Tracking Portal
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How to fill out major types of data
How to fill out major types of data
01
Identify the major types of data: Quantitative, Qualitative, Categorical, and Ordinal.
02
For Quantitative data, determine the measurement scale (e.g., interval or ratio) and ensure you collect numerical values.
03
For Qualitative data, categorize data into distinct groups or characteristics, using methods like open-ended questions or interviews.
04
For Categorical data, classify items into specific categories, ensuring non-overlapping groups are established.
05
For Ordinal data, arrange items in a meaningful order that reflects progression or ranking.
Who needs major types of data?
01
Researchers and analysts who require data for studies or presentations.
02
Businesses that leverage data for market analysis and decision-making.
03
Academics who need data for scholarly publications and teaching.
04
Government agencies that use data for public policy and resource allocation.
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What is major types of data?
Major types of data include quantitative data, qualitative data, categorical data, and time series data.
Who is required to file major types of data?
Organizations, researchers, and businesses that require compliance, reporting, or analysis are typically required to file major types of data.
How to fill out major types of data?
To fill out major types of data, one should gather the necessary information, follow standardized forms or templates, ensure accuracy, and submit it to the relevant authority or system.
What is the purpose of major types of data?
The purpose of major types of data is to facilitate analysis, decision-making, compliance, and to provide insights and trends in various fields.
What information must be reported on major types of data?
Information reported on major types of data typically includes identification details, numeric values, categories, timeframes, and any relevant metadata.
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