Author(s) This pre-registration is currently anonymous to enable blind peer-review. It has 2 authors.
Pre-registered on 03/16/2022 07:06 AM (PT)
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? The so-called in-out effect describes the phenomenon that people prefer words whose consonantal stricture spots move from the front to the back of the mouth (e.g., BIKI; inward word) over words whose consonantal stricture spots move from the back to the front of the mouth (e.g., KIBI; outward word). There have been several papers exploring the driving mechanisms of this effect.
The present study tests whether the effect also occurs in a one-trial between-subjects design.
3) Describe the key dependent variable(s) specifying how they will be measured. Participants will be presented with inward and outward target words and are asked to report how much they like a given word on a scale ranging from 1 (I do not like it at all) to 10 (I like it a lot).
4) How many and which conditions will participants be assigned to? IV (2 levels; between-subjects). Participants are being presented with one inward or outward word randomly sampled from a larger stimulus pool (Topolinski & Boecker, JEP:General, 2016; Experiment 1).
As fillers to familiarize participants with the evaluation task, before the crucial target word (inward or outward), a few irrelevant nonverbal stimuli are presented in a fixed order (e.g., dot patterns, Chinese ideographs, a female human face).
5) Specify exactly which analyses you will conduct to examine the main question/hypothesis. We will conduct a between-subjects t-test on the liking ratings (as well as Bayes test and item-based test).
6) Describe exactly how outliers will be defined and handled, and your precise rule(s) for excluding observations. We will not discard any data point.
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. A pilot (N = 49) yielded an effect size of d = 0.36, which requires N = 404 to replicate with a power of 0.95. Thus we aim at N = 400 participants.
8) Anything else you would like to pre-register? (e.g., secondary analyses, variables collected for exploratory purposes, unusual analyses planned?) No.