'Desire for feedback in dependence of consistency, valence and depressiveness' (AsPredicted #135739)
Author(s) This pre-registration is currently anonymous to enable blind peer-review. It has 2 authors.
Pre-registered on 2023/06/15 - 04:05 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 want to examine how depressive symptoms, the congruence between self-perception and expected perception by others, and the valence of expected feedback predict the extent to which participants would like to know what others think about them (i.e., their desire for feedback-seeking).
Specifically, we want to test the following hypotheses:
1. The desire for feedback-seeking is predicted by the congruence between self-perception and expected perception by others: the greater the congruence, the greater the desire to receive feedback.
2. The desire for feedback-seeking is predicted by the valence of the expected feedback: If feedback is expected to be more positive than participants' self-perception, the desire to receive feedback is higher than if participants expect others to view them more negatively than they view themselves.
3. There is an interaction between congruence, valence and depressive symptoms: With increasing levels of depression, the desire to receive positive feedback decreases and the desire to receive negative feedback increases.
3) Describe the key dependent variable(s) specifying how they will be measured. Central DV is the extent to which participants would like to know what others think about them with regard to a number of positive and negative personality traits. This desire for feedback will be assessed on a numerical analogue scale ranging from 0 ("definitely don't want to know") to 100 ("definitely want to know").
4) How many and which conditions will participants be assigned to? There are no experimental conditions.
5) Specify exactly which analyses you will conduct to examine the main question/hypothesis. We will compute a mixed model with an interaction between depressive symptoms, valence of expected feedback and congruence between self-perception and expected perception by others as fixed effects (variables of interest). Subjects and traits will be specified as random intercepts.
6) Describe exactly how outliers will be defined and handled, and your precise rule(s) for excluding observations. We will exclude participants that discontinue with the study before entering 2/3 of all data points or are +/- 3 standard deviations above or below the mean on the dependent variable.
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 conducted an a-priori power analysis for a linear multiple regression: fixed model, R2 increase using G*Power. Given three predictors (depressive symptoms, valence and congruence), an estimated effect size of f2=0.08, an α of 0.05 and a power of 1-β=0.80, a minimum sample size of N=141 is required.
8) Anything else you would like to pre-register? (e.g., secondary analyses, variables collected for exploratory purposes, unusual analyses planned?) Based on a recent framework for information-seeking, we want to explore the additional explanatory value of a) instrumental value, b) hedonic value and c) cognitive value of feedback for the preference of feedback. Therefore, we will compute additional models including these factors as additional fixed affects and run model comparisons with the model of the main analysis based on information criteria.