Ordinal.
The answer depends on what the experiment is about. For example, if you believe (or want to test) that pupils' scores in English tests depend on their scores in maths tests, then the independent variable is the maths score. But if you believe that the English scores influence their maths scores then the independent variable is the maths score.
reporcoal
A negative correlation
For example, the amount of goals a team scores depends on the amount of games the team get to play. So, the independent variable would be number of games in a season and the dependent variable would be how many goals the team scores in this situation.
The are to tell you you're intelligence level, the higher you're score the smarter you are
The answer depends on what the experiment is about. For example, if you believe (or want to test) that pupils' scores in English tests depend on their scores in maths tests, then the independent variable is the maths score. But if you believe that the English scores influence their maths scores then the independent variable is the maths score.
reporcoal
A negative correlation
reporcoal
Independent variable: studying with music Dependent variable: students' test scores
For example, the amount of goals a team scores depends on the amount of games the team get to play. So, the independent variable would be number of games in a season and the dependent variable would be how many goals the team scores in this situation.
No, the scores are the results, the data. The variable would be the food.
No the IQ test is racially blind. It scores you purely on intelligence and nothing more.
discrete
early adulthood
Charles Spearman, a British psychologist, introduced the concept of "g" or general intelligence, which suggests that intelligence is a singular, measurable trait. He developed the theory of two-factor intelligence, which proposed that individuals have both general and specific abilities, but believed that g was the primary factor underlying cognitive performance.
A variable that has been transformed by multiplication of all scores by a constant and/or by the addition of a constant to all scores. Often these constants are selected so that the transformed scores have a mean of zero and a variance (and standard deviation) of 1.0.