Which of the following is not one of the strengths of the Cobb-Douglas production function?

a. Both marginal product and returns to scale can be estimated from it.
b. It can be converted into a linear function for ease of calculation.
c. It shows a production function passing through increasing returns to constant returns and then to decreasing returns.
d. The sum of the exponents indicates whether returns to scale are increasing, constant or decreasing.

The table below is comparing level of education achieved to the rate of unemployment and the median weekly earnings in 2008. based on the information provided, the unemployment rate decreases the most when moving between which two consecutive educational levels? a. “less than high school” and “high school graduate” b. “high school graduate” and “some college, no degree” c. “associate degree” and “bachelor’s degree” d. “professional degree” and “doctoral degree”

Sean has placed a job ad and is now interviewing potential employees. which of the following questions is he legally allowed to ask during the interview? do you have any disabilities that will require special accommodation? how many children do you have? where did you earn your degree and how has it prepared you for this position? is this your maiden name that you have listed on the job application?

Reliability and validity reliability and validity are two important considerations that must be made with any type of data collection. reliability refers to the ability to consistently produce a given result. in the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. to illustrate this concept, consider a kitchen scale that would be used to measure the weight of cereal that you eat in the morning. if the scale is not properly calibrated, it may consistently under- or overestimate the amount of cereal that’s being measured. while the scale is highly reliable in producing consistent results (e.g., the same amount of cereal poured onto the scale produces the same reading each time), those results are incorrect. this is where validity comes into play. validity refers to the extent to which a given instrument or tool accurately measures what it’s supposed to measure. while any valid measure is by necessity reliable, the reverse is not necessarily true. researchers strive to use instruments that are both highly reliable and valid.