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Field
Planned Number of Observations
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Before
Our setting deviates from traditional experiments in the sense that the number of downloads in Google’s Play Store determines the number of subjects in our experiment. We will upload the game to Google’s Play Store on 12 June 2020 and expect the game to be public on the same day (delays are possible due to Google's processing). We will additionally upload a promotional video to YouTube on 19 June 2020 (this date is, however, subject to discretion of the promoting influences). We expect only a small number of game downloads until the release of the promotional video and thus see the date of the promotional video as our trial start. For the analyses described, we only use data from the first 30 days after the release of the promotional video. The sample size of our experiment is therefore dependent on the number of downloads from Google’s Play Store and the game’s retention rate. Thus, the sample size is not predictable at this stage.
We will additionally filter our data as described below and provide for each filter corresponding reason in parentheses:
We remove players that are uniquely identifiable based on the collected demographic variables (self-reported age, self-reported gender, and country). [data protection law]
We are only allowed to process the choice of players that specify an age greater or equal to 16. [data protection law]
The lotteries will show up everytime a player completes at least three levels in three different runs within the same game session[experimental design].
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After
Our setting deviates from traditional experiments in the sense that the number of downloads in Google’s Play Store determines the number of subjects in our experiment. We will upload the game to Google’s Play Store on 12 June 2020 and expect the game to be public on the same day (delays are possible due to Google's processing). We will additionally upload a promotional video to YouTube on 19 June 2020 (this date is, however, subject to discretion of the promoting influences). We expect only a small number of game downloads until the release of the promotional video and thus see the date of the promotional video as our trial start. For the analyses described, we only use data from the first 30 days after the release of the promotional video. The sample size of our experiment is therefore dependent on the number of downloads from Google’s Play Store and the game’s retention rate. Thus, the sample size is not predictable at this stage.
We will additionally filter our data as described below and provide for each filter corresponding reason in parentheses:
We remove players that are uniquely identifiable based on the collected demographic variables (self-reported age, self-reported gender, and country). [data protection law]
We are only allowed to process the choice of players that specify an age greater or equal to 16. [data protection law]
The lotteries will show up after every second run a player completes at least one level within the same game session[experimental design].
Example 1:
Session 1: Run 1: Completed Levels: 1
Session 1: Run 2: Completed Levels: 0
Session 1: Run 3: Completed Levels: 2
Session 1: Lottery is displayed to the player.
Session 1: Run 4: Completed Levels: 5
Session 1: Run 5: Completed Levels: 3
Session 1: Lottery is displayed to the player.
Example 2:
Session 1: Run 1: Completed Levels: 2
Session 1: Run 2: Completed Levels: 3
Session 1: Lottery is displayed to the player.
Session 2: Run 1: Completed Levels: 5
Session 3: Run 1: Completed Levels: 3
Session 3: Run 2: Completed Levels: 3
Session 3: Lottery is displayed to the player.
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