With what name an attribute like height, weight or happiness that is measurable and that is assigned with changing values be called?
Variable
A variable in research refers to an attribute or characteristic that can take on different values or categories. In the context of this question, we have attributes like height, weight, or happiness, which can be measured and can change from individual to individual or over time.
A variable is anything that can vary or change. In research, variables are important since they are what researchers study to understand relationships, causation, or generalize findings. Common types of variables include dependent and independent variables.
Based on the definitions and the nature of the characteristic mentioned (height, weight, happiness), the correct term for a measurable attribute that is assigned with changing values is a "Variable".
In a research problem 'studying the effect of Teaching Methods on the Scholastic Achievement of boys and girls in terms of their socio-economic background'. Which can be designated as independent variable?
A university teacher plans to study the effect of level of aspiration of students in terms of their socio-economic background on their scholastic performance at the term end evaluation conducted by an external testing agency. What is the dependent variable in this study?
A variable that measures the effect of a manipulated variable, is known as:
A variable that is manipulated is known as:
A variable that is manipulated is known as:
Which among the following are correct statements about an independent variable?
A. It can have at most two levels.
B. It can have any number of levels.
C. It can be a qualitative variable.
D. It can be a quantitative variable.
Choose the correct answer from the options given below:
The term 'categorical' variables is used for the data measured on
In ANCOVA, what happens when the covariate is not linearly related to the dependent variable?
For two random variables X and Y, how many lines of regression are possible?
The primary purpose of constructing index numbers is to:
At what value of R1.23 are all regression residuals zero?