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.
no
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 .
Mode is the only measure of central tendency to measure quantitative dataor qualitative data.
Anytime you are able to measure something, it is quantitative data. Qualitative data represents the quality of something which cannot be measured.
to quantify the qualitative variables.
i want to know the role of variables of the qualitative design
In qualitative variables, nominal data involves categories with no inherent order, such as colors or types of fruit. Ordinal data, on the other hand, includes categories that have a meaningful order or ranking, such as education levels or customer satisfaction ratings.
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.
Qualitative and quanitative are two types of 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.
No, it is quantitative.
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.
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
Qualitative Data
no
Because a t-test is designed to measure the difference between means on variables that can be measured (interval data). For example, comparing the difference of height between males and females in centimetres. Qualitative studies are not interval data, but qualitative information is coded and analysed by frequencies - you are not comparing two normally distributed variables that can be measured on a continuous spectrum of measurement.