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127 changes: 106 additions & 21 deletions 02_activities/assignments/a2_survey_design_and_evaluation.md
Original file line number Diff line number Diff line change
Expand Up @@ -35,44 +35,129 @@ For the **Canadian General Social Survey on Giving, Volunteering, and Participat
12. Limitations, known biases, etc
13. Link to documentation and any additional sources used


# Your Changes

## Part A - Survey Design:

The number of your chosen topic: `#`
The number of your chosen topic: '3'

3. You are a student researcher in the sociology department at the University of Toronto. You are working on a research project that concerns the relationship between music taste and age. This involves both comparisons between different people of different ages and comparisons of the same individual at different ages during their lifetime. You wish to understand to what extent age influences music taste, specifically as it relates to perceptions of popular music. Your results will be written into an academic paper that you hope to publish.

Describe the purpose of your survey:
```
write your answer here...
```

The purpose of my survey is to examine how age influences perceptions of popular music, both by comparing people across different age groups and by how peoples own tastes have shifted at different ages during their lifetime. Using the survey data can further our understanding of how music preference forms, from a sociological context.

Describe your target population, sampling frame, sampling units, and observational units:
```
write your answer here...
```

My target population are adults of varying ages in Canada.

The sampling frame population includes Canadian adults from Ontario divided into age strata 18-25 years old, 26-40 years old, 41-60 years old and 60+. (As the student is from the University of Toronto, it might be more reasonable to limit the survey to Ontario due to potential resource constraints).

The sample units/observational units are individuals.

The sampling strategy I could use for this survey is random stratified sampling (the population is dividied into age strata and a random but proportionate number of individuals to survey is taken from each stratum)

Your 5-10 question survey:
```
1. write your question here...
2. write your question here...
3. write your question here...
4. write your question here...
5. write your question here...
6. write your question here... (optional)
7. write your question here... (optional)
8. write your question here... (optional)
9. write your question here... (optional)
10. write your question here... (optional)
1. What is your age?
For example
- 18-25 years old
- 26-40 years old
- 41-60 years old
- 60+ years old

2. What genres do you currently listen to the most?
For example
- Rock
- Pop
- Rap
- Country
- Jazz
- Classical
- Other

3. How often do you listen to current popular/mainstream music?
For example
- Never
- Infrequently
- Frequently
- Daily

4. How would you rate your enjoyment of current popular/mainstream music, 1 representing no enjoyment and 5 being extremely enjoyable
For example
- Scale between 1-5

5. At what age do you feel your music taste was the most defined?
For example
- Under 12 years old
- 13 - 17 years old
- 18 - 25 years old
- 26 - 40 years old
- 41+ years old

6. Do you feel your music taste has changed significantly as you have aged?
For example
- Not at all
- A small amount
- A moderate amount
- A large amount
- Completely changed

7. Do you typically look for new music to listen to or do you prefer listening to music you are already familiar with?
For example
- Familiar music
- Mix of both
- New music

```

## Part B - Survey Evaluation:

Identify and describe survey features:

```
write your answer here
```
Pulled from https://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&Id=796234

1. Sample type
Sample survey with a cross-sectional design. The sample is based on a stratified design employing probability sampling. They also used rejective sampling as part of the sample deisgn.

2. Sample size
A field sample of approximatively 50,000 units was used. Among them, about 40,000 invitation letters to the electronic questionnaire were sent to selected households across Canada. A completion of 24,000 questionnaires was expected.

3. Target population
All persons 15 years of age and older living in the ten provinces of Canada. It excludes full-time (residing for more than six months) residents of institutions.

4. Sampling frame
This survey uses a frame that combines landline and cellular telephone numbers from the Census and various administrative sources with Statistics Canada's dwelling frame.

5. Survey mode(s)
Data was collected directly from survey respondents either through an electronic questionnaire or through CATI (computer assisted telephone interviewing) with English and French options.

6. Timeline
Data collection ran from 2018-09-04 to 2018-12-28. The survey is conducted every 5 years.

7. Response rate
The overall response rate was 41.9%.

8. Weights
A weighting factor was available on the microdata file:

WGHT_PER: This is the basic weighting factor for analysis at the person level, i.e. to calculate estimates of the number of persons (non-institutionalized and aged 15 or over) having one or several given characteristics. In addition to the estimation weights, bootstrap weights were also created for the purpose of design-based variance estimation. Weights were adjusted so that the weighted income distribution of GVP matched the 2017 CIS distribution by province

9. Data processing
Processing used the SSPE set of generalized processing steps and utilities. Edits were performed automatically and manually at various stages of processing at macro and micro levels. They included family, consistency and flow edits.

10. Cleaning, imputation, etc
Imputations were made suing donor records selected through a score function, matching recipient records to the nearest donor. Where donor imputation could not be used, mean imputation among a pool of donors was used. Imputation was carried out in nine steps including income, volunteering variables and donation variables.

11. Sources of error
The survey was subject to both sampling and non-sampling error. Sampling error as estimates based on a sample will vary from sample to sample, and typically they will be different from the results that would have been obtained from a complete census. For non-sampling errors they include imperfect coverage, non-response, response errors and processing errors.

12. Limitations, known biases, etc.
Households without telephones, as well as households with telephone services not covered by the current frame, represent a part of the target population that was excluded from the surveyed population. In addition, survey estimates were adjusted (i.e. weighted) to account for non-response cases.

13. Link to documentation and any additional sources used
https://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&Id=796234


## Rubric

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