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
The are to tell you you're intelligence level, the higher you're score the smarter you are
Weschler
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.
Factor analysis is typically used to identify different dimensions of performance that underlie people's intelligence scores. This statistical technique helps to determine patterns among a set of variables (in this case, performance on different intelligence tests) and group them into distinct factors that represent underlying dimensions of intelligence.
reporcoal
reporcoal
A negative correlation
Independent variable: studying with music Dependent variable: students' test scores
Intelligence scores tend to remain relatively stable over the lifespan, with some fluctuations possible due to factors like education, health, and life experiences. However, significant changes in intelligence scores are rare, indicating a general stability in intelligence levels throughout adulthood.
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
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.