Stratified random sampling:

In stratified sampling the entire population is divided into two or more separate groups based on certain characteristics based on subjects. These separate groups are termed as strata. Then for each group (stratum) the units are selected using the simple random sample.

Justification: The researcher is interested compare the student’s loan debt for two groups of students belonging to ‘four-year public universities, four-year private universities’. The entire population of the students is divided into two separate groups termed strata. For each group 100 graduates are selected using simple random sampling. Since the population is divided into groups and simple random sample is used for selecting the subjects for two groups, the study design used stratified random sample.

Hence, the type of random sampling used in the study design is stratified random sampling.

In stratified sampling the entire population is divided into two or more separate groups based on certain characteristics based on subjects. These separate groups are termed as strata. Then for each group (stratum) the units are selected using the simple random sample.

Justification: The researcher is interested compare the student’s loan debt for two groups of students belonging to ‘four-year public universities, four-year private universities’. The entire population of the students is divided into two separate groups termed strata. For each group 100 graduates are selected using simple random sampling. Since the population is divided into groups and simple random sample is used for selecting the subjects for two groups, the study design used stratified random sample.

Hence, the type of random sampling used in the study design is stratified random sampling.