'Memory of Scene Description statements: Random Veracity (AG2_AG4_scene04)' (AsPredicted #108,232)
Author(s) Nicole Antes (Leibniz-Institut für Wissensmedien, Tübingen) - n.antes@iwm-tuebingen.de Markus Huff (Eberhard-Karls-Universität Tübingen) - markus.huff@uni-tuebingen.de
Pre-registered on 2022/09/29 05:40 (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? Aim of this study is to investigate the relationship of memory and veracity. More specifically we want to investigate the extent to which the discriminability of metainformation affects memory about an information.
We expect an interaction of veracity and discriminability. In the control condition we do not expect a difference between true and false statement while in the low or high discriminability condition memory will differ for true and false statements.
We further expect the main effects of veracity (memory will be higher for true statements than for false statements) and discriminability (memory lower for low and high discriminability conditions than for control) to be significant. The discriminability task increases the cognitive load for participants in the discriminability conditions and therefore reduces their overall recognition performance.
Confidence:
We expect an interaction effect between confidence, veracity and discriminability. In the discriminability conditions confidence in the answers will differ between true and false statements. There will be no difference in the control condition. However, overall confidence will be higher in the control condition. We further expect the main effects of discriminability (higher confidence in the control condition) and veracity (confidence will be higher for true than for false statements).
Additionally, we expect a main effect of confidence, stating that confidence will be higher for correct classification.
3) Describe the key dependent variable(s) specifying how they will be measured. Participants read a short scene description (40 sentences) with true and false information included. Readability will be manipulated by degree of discriminability between true and false information. Memory of the statements will be assessed by 80 statements (40 new items, 40 old items) asking "Did you read this sentence in the previous scene description? Yes/No".
Confidence will be assessed for the same items via the question "How confident are you about your answer? I guessed. (50%)/60%/70%/80/90%/I am sure. (100%)"
4) How many and which conditions will participants be assigned to? There will be a 2x3 experimental design: high discriminability vs. low discriminability vs. control (between) x true vs. false statements (within).
5) Specify exactly which analyses you will conduct to examine the main question/hypothesis. Memory:
We will fit a generalized linear mixed-effect models with fixed factors truth value of statements (true vs. false) and condition (control vs. low vs. high discriminability). Interaction of the fixed factors will be tested. As random factors item id and participant id will be included. Another model will be fitted with item difficulty as fixed factor.
Confidence:
Confidence will be added to the memory model as fixed factor and interaction will be tested.
Confidence Model: Same analyses as for memory will be conducted.
6) Describe exactly how outliers will be defined and handled, and your precise rule(s) for excluding observations. Requirements for inclusion:
- fluent in English
- at least 18 years old
Exclusion criteria:
- participation in the previous experiments
- not passing color test: lower than 75% correct classification
- not passing attention check
- reading speed: exclusion of outliers outside the whiskers according to the boxplot criterium – boxplot will be plotted using the average reading speed across all sentences per person
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. Under the assumption of a small effect size (f = .15), α = .05, 1- β= .95, with 3 groups and 2 measurements, a minimum of N = 177 is calculated (calculated with G*Power)
8) Anything else you would like to pre-register? (e.g., secondary analyses, variables collected for exploratory purposes, unusual analyses planned?) - reading time: GLM for reading time ~ veracity*condition
- reading time as additional factor in the memory model
- correct memory which truth value the colors represented
