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A method of subsuming data in such a way that can be displayed and interpreted symbolically for easier understanding (often used with numbers)

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To expand, ^^^ AP exams with free response sections have large, annual grading sessions and I would consider them quant. tools.

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To expand, ^^^ AP exams with free response sections have large, annual grading sessions and I would consider them quant. tools.

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What quantitative paradigms will we support in math ed? Rasch and/or IRT

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What quantitative paradigms will we support in math ed? Rasch and/or IRT

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For the purposes of this group maybe we should prioritize finding/cataloguing/creating measures that are easier to code/assessments which result in a continuous variable

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For the purposes of this group maybe we should prioritize finding/cataloguing/creating measures that are easier to code/assessments which result in a continuous variable

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Translating the data collected into analyzable, numerical components is sustainable (not requiring extensive human labor or capital)

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Translating the data collected into analyzable, numerical components is sustainable (not requiring extensive human labor or capital)

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I see quantitative tools as a means to subsume large data and represent it symbolically, frequently (but not necessarily) numerically.

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How do we discern between quantitative "tools" and quantitative "representations"?

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How do we des

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The tool itself does not require tweaking by the end-user (still need to decide if the application is appropriate)

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The tool itself does not require tweaking by the end-user (still need to decide if the application is appropriate)

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Can you qualify quantitative data and quantify qualitative data?

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Can you qualify quantitative data and quantify qualitative data?

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This ^^^ but with mathematical modeling instead of statistical analysis.

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This ^^^ but with mathematical modeling instead of statistical analysis.

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A tool for collecting data in a way that can be converted into a numeric measure.

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Tool that easily translate to numbers and have enough size to run statistical analyses. Can easily determine what is being measured--sensitive

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Where do we draw the line between quantitative and qualitative? 

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Where do we draw the line between quantitative and qualitative? 

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Does one exist?

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broadly: instruments that allow for statistical analyses

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broadly: instruments that allow for statistical analyses

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Measures of affect or behavior or knowledge or understanding that result in a numerical value/multiple numerical values if there are subscales

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Measures of affect or behavior or knowledge or understanding that result in a numerical value/multiple numerical values if there are subscales