Divide the overall sample into several groups according to age, income, and gender.is effective for studying young consumers' concerns about sustainability in luxury fashion, as it ensures representation across key characteristics like age, income, education, and consumption habits. By grouping consumers into tiers (e.g., age groups, income levels), researchers can capture diverse attitudes, resulting in a more accurate and comprehensive view of sustainability considerations in luxury purchases.

Cluster Sampling：Cluster sampling groups young consumers by geographic areas or common characteristics (e.g., shopping locations or brand loyalty). The researcher can then randomly select several clusters, surveying within those groups. This approach simplifies data collection while providing insight into attitudes toward sustainability in luxury fashion. Though it may introduce more sampling error than stratified sampling, it remains efficient if clusters are diverse.

• because Canada have a wide variety of school that are located in different location (diverse population).

• Efficiency - because it create it is more easy to manage sample sample size while acquired all the essential details

• Balance representation it will beast for the government to get an overview of sustainability through different schools. In addition, lower risk for bias.

Because 1. Accurate Targeting of the Focus Group: Stratified sampling allows researchers to group young consumers by characteristics, ensuring that the sample is concentrated on the actual target audience of the study, reducing bias.

2. Greater Representativeness: There is a wide variation within the young consumer group (such as environmental awareness, income levels, etc.), and stratified sampling ensures that each subgroup is represented, resulting in more comprehensive outcomes.

3. Increased Reliability of Data: By balancing the proportions of each subgroup, stratified sampling reduces bias, making the results more accurately reflect the true perspectives of young consumers.

reason: Canada has different region which have different school, so the strategy can ensure schools from each area are included in the sample.

different high schools have different teaching method, so the strategy can ensure the sample includes a variety of schools that may approach sustainability differently.

Q2 sample

Q3 Stratified sampling

Q4 b.

Q5 not enough.

Q6 b c a

Q7 a d

Q8

Q9

Q10 Cluster sampling

2. samples

3. The sampling strategy appears to be stratified sampling, as participants are grouped into different regions within Sheffield.

4. B

5. Yes.

6. B, C, A

7. A, D

8. It can be time-consuming and costly to implement.

9. It may lead to selection bias, as volunteers might not be representative of the entire population.

10. The type of sampling strategy shown appears to be cluster sampling