A researcher wants to understand the effect of child abuse on an individual's personality and attitude. He forms two groups of participants for his study. The first group includes people who were abused during their childhood and the second group includes people who had normal childhoods. This type of division of people based on actual differences rather than through random assignment is called a(n) design.

Stratified random sampling

Explanation:

Stratified random sampling is a design that involves dividing a group into smaller division or strata to get a defined result, this division is based on character or shared attitude. This design is also known as proportional random sampling.

Stratified

Explanation:

Stratified sampling entails the division of a population into different homogeneous groups also known as strata. When a researcher conducting a study does not use the simple random sampling method, but instead chooses to divide the population into homogeneous group that is based on similar characteristics or experience, then such researcher has used the stratified design of sampling.

the first one is d and the second a