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What is the meaning of quantitative variables?
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
Is weight a qualitative measure?
no
What is descriptive investigation?
a descriptive investigation is a scientific ivestigation that collects data which measure or decribe objects or events. it collects qualitative & quantitative data. it includes a question, but no hypothesis ; no variables are manipulated .
Which measure of central tendency can be calculated for both quantitative data and for qualitative data?
Mode is the only measure of central tendency to measure quantitative dataor qualitative data.
Is length in feet quantitative or qualitative data?
Anytime you are able to measure something, it is quantitative data. Qualitative data represents the quality of something which cannot be measured.
What is the meaning of qualitative variables?
Qualitative variables are variables that are used to categorize data based on characteristics or qualities, such as color, gender, or type of vehicle. They are non-numeric and are used to label or describe observations rather than measure them.
Why do you use dummy variables?
to quantify the qualitative variables.
2 types of variables?
Qualitative and quanitative are two types of variables.
What is the meaning of quantitative variables?
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
Is cellphone number a qualitative variables?
No, it is quantitative.
What is the meaning of quantitation?
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
How to graph independent and dependent variables?
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
What are variables in a qualitative study?
In qualitative studies, variables are the concepts or factors that are being studied. These variables are often abstract and subjective in nature, such as beliefs, experiences, or feelings. Researchers aim to understand the relationship or connections between these variables through in-depth analysis and interpretation.
What is a qualitative variable?
A qualitative variable, also known as a categorical variable, refers to a type of variable that describes non-numeric characteristics or attributes. These variables can be divided into distinct categories based on qualitative traits, such as colors, names, or labels. For example, variables like gender, marital status, or types of cuisine are qualitative. Unlike quantitative variables, they do not have a numerical value or order.
What is nominal and ordinal in qualitative variables?
Nominal and ordinal variables are both qualitative or discrete variables. Nominal variables allow for only qualitative classification while an ordinal variable is a nominal variable, but its different states are ordered in a meaningful sequence.
Does qualitative research not control variables?
In qualitative research, researchers do not typically control variables in the same way as in quantitative research. Instead, they aim to explore and understand the complexities and nuances of a phenomenon without manipulating variables. The focus is on gaining in-depth insights and understanding the context in which the research is conducted.
Are there independent or dependent variables in qualitative research?
In qualitative research, variables are typically not classified as independent or dependent as in quantitative research. Instead, qualitative research focuses on exploring complex phenomena through in-depth analysis of non-numerical data such as interviews, observations, and textual analysis. Researchers in qualitative studies aim to understand the relationships, meanings, and contexts within the data rather than test specific hypotheses with independent and dependent variables.
