'In- and outgroup effects in sequential collaboration'
(AsPredicted #137,558)
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1) Have any data been collected for this study already?
No, no data have been collected for this study yet.

2) What's the main question being asked or hypothesis being tested in this study?
Research question:
Does an in-/outgroup effect exist in sequential collaboration?

Hypotheses:
Change probability
Hypothesis 1: Participants with higher expertise change presented judgments more often than participants with lower expertise (main effect of expertise)
Hypothesis 2: Presented judgments are changed more, the more they deviate from the correct position (main effect of deviation)
Hypothesis 3: Individuals change presented judgments of "previous participants" belonging to the ingroup less often than judgments of "previous participants" belonging to the outgroup (main effect of in/outgroup)
Hypothesis 4: The effect of in-/outgroup is stronger for participants with lower expertise and weaker for participants with higher expertise (interaction of in/outgroup and expertise)

Distance to presented judgment
Hypothesis 5: Judgments provided by individuals with lower expertise have larger distances to the presented judgment than judgments provided by individuals with higher expertise (main effect of expertise)
Hypothesis 6: Individuals provide judgments closer to judgments of "previous participants" if these are marked as members of the ingroup rather than members of the outgroup. (main effect of in/outgroup)
Hypothesis 7: The difference between in- and outgroup in terms of distance to the presented judgment will be reduced for individuals with high levels of expertise. (interaction of in/outgroup and expertise)

3) Describe the key dependent variable(s) specifying how they will be measured.
Dependent variable:
- Probability of a participant to make a change to a presented judgment of a "previous participant"
- Euklidean distance of the provided judgment to the presented judgment of a "previous participant"

4) How many and which conditions will participants be assigned to?
There will be two within-subjects conditions:
- A presented judgment from a "previous participants" who is either member of the ingroup or outgroup
- Deviation of the presented judgment to the correct location is manipulation in four steps of 0, 40, 80, and 120 pixels

Additionally, expertise will be measured with 17 initial items that are answered individually.

5) Specify exactly which analyses you will conduct to examine the main question/hypothesis.
All hypotheses are analyzed using (generalized) linear mixed model with expertise, presented judgment from in/outgroup and deviation of the presented judgment as independent variables and either changing of a presented entry (1 – change, 0 no change) or distance to the presented judgment as dependent variables. To account for the nested structure of our data, we add random intercepts for participants and items to all models.

6) Describe exactly how outliers will be defined and handled, and your precise rule(s) for excluding observations.
Subjects who switch browser windows more than five times, or fail to answer more than 15% of the questions within the 40-second time window, or place more than 15% of their responses outside the designated white areas are excluded from the analysis. If the above cases occur in less than 15% of the trials, only the single trials will be excluded. Additionally, participants who consistently position their response in the same place as the presented advice or appear to look up the correct answer will be excluded.

7) How many observations will be collected or what will determine sample size?
No need to justify decision, but be precise about exactly how the number will be determined.
We will collect a minimum of 92 participants, as this is the number that resulted from an a priori power analysis via G*Power (α = .05, 1-β = .8, ƒ = .1).

8) Anything else you would like to pre-register?
(e.g., secondary analyses, variables collected for exploratory purposes, unusual analyses planned?)
No further analysis is planned.