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updated practice slide for designing surveys
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jhelvy committed Jun 13, 2023
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90 changes: 45 additions & 45 deletions parts/designing-surveys/index.html
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```
#> profileID respID qID altID obsID price type freshness
#> 1 38 1 1 1 1 2.0 Honeycrisp Average
#> 2 39 1 1 2 1 2.5 Honeycrisp Average
#> 3 20 1 1 3 1 3.5 Honeycrisp Poor
#> 4 3 1 2 1 2 2.0 Fuji Poor
#> 5 60 1 2 2 2 2.5 Honeycrisp Excellent
#> 6 13 1 2 3 2 3.5 Gala Poor
#> 1 49 1 1 1 1 4.0 Fuji Excellent
#> 2 16 1 1 2 1 1.5 Honeycrisp Poor
#> 3 18 1 1 3 1 2.5 Honeycrisp Poor
#> 4 4 1 2 1 2 2.5 Fuji Poor
#> 5 55 1 2 2 2 3.5 Gala Excellent
#> 6 2 1 2 3 2 1.5 Fuji Poor
```

---
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```
#> profileID respID qID altID obsID price type_Fuji type_Gala type_Honeycrisp freshness_Poor freshness_Average freshness_Excellent no_choice
#> 1 7 1 1 1 1 4.0 1 0 0 1 0 0 0
#> 2 46 1 1 2 1 2.5 1 0 0 0 0 1 0
#> 3 23 1 1 3 1 1.5 1 0 0 0 1 0 0
#> 1 15 1 1 1 1 1.0 0 0 1 1 0 0 0
#> 2 27 1 1 2 1 3.5 1 0 0 0 1 0 0
#> 3 10 1 1 3 1 2.0 0 1 0 1 0 0 0
#> 4 0 1 1 4 1 0.0 0 0 0 0 0 0 1
#> 5 19 1 2 1 2 3.0 0 0 1 1 0 0 0
#> 6 34 1 2 2 2 3.5 0 1 0 0 1 0 0
#> 5 15 1 2 1 2 1.0 0 0 1 1 0 0 0
#> 6 36 1 2 2 2 1.0 0 0 1 0 1 0 0
```

---
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```
#> profileID respID qID altID obsID price type freshness
#> 1 47 1 1 1 1 3.0 Fuji Excellent
#> 2 56 1 1 2 1 4.0 Gala Excellent
#> 3 40 1 1 3 1 3.0 Honeycrisp Average
#> 4 45 1 2 1 2 2.0 Fuji Excellent
#> 5 51 1 2 2 2 1.5 Gala Excellent
#> 6 38 1 2 3 2 2.0 Honeycrisp Average
#> 1 44 1 1 1 1 1.5 Fuji Excellent
#> 2 33 1 1 2 1 3.0 Gala Average
#> 3 37 1 1 3 1 1.5 Honeycrisp Average
#> 4 26 1 2 1 2 3.0 Fuji Average
#> 5 31 1 2 2 2 2.0 Gala Average
#> 6 59 1 2 3 2 2.0 Honeycrisp Excellent
```

---
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```
#> respID qID altID obsID price type freshness
#> 1 1 1 1 1 3.0 Fuji Excellent
#> 2 1 1 2 1 4.0 Gala Excellent
#> 3 1 1 3 1 3.0 Honeycrisp Average
#> 4 1 2 1 2 2.0 Fuji Excellent
#> 5 1 2 2 2 1.5 Gala Excellent
#> 6 1 2 3 2 2.0 Honeycrisp Average
#> 1 1 1 1 1 1.5 Fuji Excellent
#> 2 1 1 2 1 3.0 Gala Average
#> 3 1 1 3 1 1.5 Honeycrisp Average
#> 4 1 2 1 2 3.0 Fuji Average
#> 5 1 2 2 2 2.0 Gala Average
#> 6 1 2 3 2 2.0 Honeycrisp Excellent
```

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```
#> profileID respID qID altID obsID price type freshness choice
#> 1 47 1 1 1 1 3.0 Fuji Excellent 0
#> 2 56 1 1 2 1 4.0 Gala Excellent 1
#> 3 40 1 1 3 1 3.0 Honeycrisp Average 0
#> 4 45 1 2 1 2 2.0 Fuji Excellent 0
#> 5 51 1 2 2 2 1.5 Gala Excellent 0
#> 6 38 1 2 3 2 2.0 Honeycrisp Average 1
#> 1 44 1 1 1 1 1.5 Fuji Excellent 0
#> 2 33 1 1 2 1 3.0 Gala Average 0
#> 3 37 1 1 3 1 1.5 Honeycrisp Average 1
#> 4 26 1 2 1 2 3.0 Fuji Average 0
#> 5 31 1 2 2 2 2.0 Gala Average 1
#> 6 59 1 2 3 2 2.0 Honeycrisp Excellent 0
```

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```

```
#> sampleSize coef est se
#> 1 30 price -0.1289689 0.09703613
#> 2 30 typeGala 0.3097395 0.19622827
#> 3 30 typeHoneycrisp 0.4039833 0.19185208
#> 4 30 freshnessAverage -0.4936206 0.22915332
#> 5 30 freshnessExcellent -0.2773703 0.21284363
#> 6 60 price -0.0811527 0.06713569
#> sampleSize coef est se
#> 1 30 price -0.323720273 0.09703566
#> 2 30 typeGala -0.006998948 0.19692109
#> 3 30 typeHoneycrisp 0.310095155 0.18477278
#> 4 30 freshnessAverage 0.176627903 0.23789479
#> 5 30 freshnessExcellent -0.189772841 0.24507782
#> 6 60 price -0.210818382 0.06596601
```

]
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```
#> sampleSize coef est se
#> 45 270 freshnessExcellent -0.31731638 0.07674039
#> 46 300 price -0.08985462 0.02913155
#> 47 300 typeGala 0.15681599 0.05935676
#> 48 300 typeHoneycrisp 0.19697765 0.05883549
#> 49 300 freshnessAverage -0.05403604 0.06891741
#> 50 300 freshnessExcellent -0.31296763 0.07264400
#> 45 270 freshnessExcellent -0.21393084 0.07636678
#> 46 300 price -0.11318500 0.02926127
#> 47 300 typeGala 0.13458492 0.05885936
#> 48 300 typeHoneycrisp 0.15370569 0.05876901
#> 49 300 freshnessAverage 0.08786836 0.07127721
#> 50 300 freshnessExcellent -0.17724236 0.07268666
```

]
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# Your turn

- Download the practice zip file for this section.
- Open the `designing-surveys.Rproj` file to open RStudio.
- In RStudio, open the `practice.R` file.
- Be sure to have downloaded and unzipped the [practice code](https://jhelvy.github.io/2023-qux-conf-conjoint/practice/2023-qux-conf-conjoint.zip).
- Open the `2023-qux-conf-conjoint.Rproj` file to open RStudio.
- In RStudio, open the `designing-surveys.R` file.
- Experiment with different design options, then examine the power:
- What if you modify the quesitons per respondent?
- What if you use a labeled design?
Expand Down

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