'2022 04 Fluency vs. In-Out Between' (AsPredicted #92560)
Author(s) This pre-registration is currently anonymous to enable blind peer-review. It has 2 authors.
Pre-registered on 03/30/2022 02:18 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? We explore an effect of pronounceability and consonantal order (in-out effect) in letter strings in a between-subjects design.
3) Describe the key dependent variable(s) specifying how they will be measured. Participants will be presented with target letter strings and are asked to report how much they like a given word on a scale ranging from 0 (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 In-out (2 levels; between-subjects). Participants are being presented with one inward or outward word randomly sampled from a larger stimulus pool with letter strings (labials B, M P, F, V; dorsals G, K, R; random vowels A, O; all possible combinations thereof; stimulus pool D in Topolinski et al., 2014, JPSP).
IV Pronounceability (2 levels; between-subjects). Participants are being presented with an easy or hard-to-pronounce letter strings. Items are taken from the stimulus pool on anagrams by Topolinski et al., (2015; Cognition).
As a further between-factor, participants will be either in the in-out condition OR in the pronounceability condition.
As fillers to familiarize participants with the evaluation task, before the crucial target letter strings (inward/outward, easy/hard), 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 two separate between-subjects t-tests gauging the in-out effect and the pronounceability effect separately.
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. We will collect N = 1100 participants in total (550 for each pronounceability and in/out), based on a power analysis for a t-test in GPower with d = 0.25, alpha = 0.05, power = 0.80.
8) Anything else you would like to pre-register? (e.g., secondary analyses, variables collected for exploratory purposes, unusual analyses planned?) no.
