As in the production function discussion, I construct an index corresponding to variation in
teacher inputs within a school and use it to obtain a predictive effect in SD units: Likewise, I construct an index corresponding to variation across schools and use it to obtain a predictive effect in SD units:
Because the random assignment assumption is within schools, I am interested in the variation in expected output that corresponds to the variation in
the teacher input within a school.
Not exact matches
If this explanation were true, we would expect to find a positive association between school - level income and school - level academic
inputs, and a negative association between school - level income and the differences in the value - added by
teachers within the same school.
At any such point, is a random variable with Still conditioning on, consider counterfactual outcomes as varies over, averaging over the conditional distribution of given: There is a structural function interpretation for:
within a school with, we can obtain potential expected output for various assigned values of the
teacher input, holding constant the distribution of classroom characteristics (at the conditional distribution of given).
As the
teacher's role has been elevated both by the public and
within the profession,
teachers»
input is increasingly sought and offered.
Although
input from parents,
teachers, and peers can provide valuable insight into children's social behavior and their status
within the peer group, information regarding children's thoughts, feelings, and perceptions of their social situations can be obtained only by asking the children themselves.