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 972 if no error
## [1] 972
Following should be 972 of 5s if no error
## .
## 5
## 972
Following should be 972 of 0s if no error
## .
## 0
## 972
## .
## 0
## 972
Check whether each video gets roughly balanced assignment
## chipT1 chipI1 dT1 dI1 hfT1 hfI1 nT1 nI1 aT1 aI1 sgT1
## 245 247 252 244 246 237 249 251 246 243 240
## sgI1 rmT1 rmI1 crT1 crI1 lT1 lI1 hT1 hI1
## 226 250 246 248 246 244 240 230 230
Check whether all participants have 35 responses
## .
## 35
## 972
Check how many influencer ads (out of 5) each person sees
## # A tibble: 6 × 2
## n count
## <dbl> <int>
## 1 0 36
## 2 1 158
## 3 2 295
## 4 3 303
## 5 4 147
## 6 5 33
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.