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Activity 2 - choose a sampling strategy and give reasons

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Activity 2 - choose a sampling strategy and give reasons

# data[].attributes.headline
Activity 2 - choose a sampling strategy and give reasons

# data[].attributes.subject
Activity 2 - choose a sampling strategy and give reasons

# data[].attributes.headline
Activity 2 - choose a sampling strategy and give reasons

# data[].attributes.subject
Activity 2 - choose a sampling strategy and give reasons

# data[].attributes.headline
Activity 2 - choose a sampling strategy and give reasons

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Activity 2 - choose a sampling strategy and give reasons

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strategy: stratified sampling

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.

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Activity 2 - choose a sampling strategy and give reasons

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Activity 2 - choose a sampling strategy and give reasons

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Stratified sampling.

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.

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Activity 2-Research Context 3: Social sustainability of work in manufacturing

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Activity 2-Research Context 3: Social sustainability of work in manufacturing

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Stratified Sampling strategy would likely be the most effective choice. Working conditions may vary significantly across different roles or levels within manufacturing, stratified sampling ensures that the research accurately represents the diverse experiences of manufacturing employees.

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Stratified sampling：

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.

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Stratified sampling

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.

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1. Sheffield-based male runners aged from 30 to 40 who wear a fitbit

2. sampled

3. Stratified Sampling

4. B

5. yes

6. BCA

7. a. Population = the students in your RP class

d. Population = candidates who were interviewed for the role of Shop Assistant at Greggs Bakery on Pinstone Street, Sheffield on 05/11/21

8. May not be representative due to chance

Need to pick from the whole of the population which may take time and cost money

9. Can be biased, because of unknown motive for volunteering

Dependent on people wanting to volunteer - no guarantee

10. Cluster Sampling

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Q1 Sheffield-based male runners aged from 30 to 40.

Q2 sample

Q3 Stratified sampling

Q4 b.

Q5 not enough.

Q6 b c a

Q7 a d

Q8

Q9

Q10 Cluster sampling

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1. Sheffield-based male runners aged from 30 to 40

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