Main Analysis
We predict the dependent variable mentioned above in regression with an ad-type dummy, participant fixed effects and brand fixed effects, where we cluster the standard errors on the participant-level.
Before-Analysis: Check for any anomaly data
Check whether 5 questions in total for each person (Should be 0 if no error)
## [1] 0
Following should be 984 if no error
## [1] 984
Following should be 984 of 5s if no error
## .
## 5
## 984
Following should be 984 of 0s if no error
## .
## 0
## 984
## .
## 0
## 984
Check whether each video gets roughly balanced assignment
## chipT1 chipI1 dT1 dI1 hfT1 hfI1 nT1 nI1 aT1 aI1 sgT1
## 246 254 253 249 246 237 254 248 239 233 248
## sgI1 rmT1 rmI1 crT1 crI1 lT1 lI1 hT1 hI1
## 242 259 245 246 247 247 246 244 237
Check whether all participants have 35 responses
## .
## 15
## 984
Check how many influencer ads (out of 5) each person sees
## # A tibble: 6 × 2
## n count
## <dbl> <int>
## 1 0 33
## 2 1 155
## 3 2 320
## 4 3 293
## 5 4 151
## 6 5 32
Questions below were asked in this specific order even though the coding of the question has different order.
1. After watching this video, how positive or negative are your feelings towards Domino's?
5. How would you rate the production quality of video?
4. How much information did the video give you about the product/service featured in the video?
2. How trustworthy do you consider the message in this video?
6. To what extent do you think __[product]__ actually has the properties the video claims?
8. How connected do you feel towards the person speaking in the video?
7. To what extent do you think the person speaking in the video actually believed what they were saying?
3. Based on what you saw, how likely are you to purchase the product/service featured in the video?
We predict the dependent variable mentioned above in regression with an ad-type dummy, participant fixed effects and brand fixed effects, where we cluster the standard errors on the participant-level.